diff --git a/.Rbuildignore b/.Rbuildignore
index 3648426..98ecc07 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -15,3 +15,4 @@
 ^cran-comments\.md$
 ^data-raw$
 ^CRAN-SUBMISSION$
+^\.tmp$
diff --git a/.gitignore b/.gitignore
index d15d3cf..6f63c0d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -22,3 +22,5 @@ run_remote.md
 *.csv
 
 .DS_Store
+
+.tmp
diff --git a/DESCRIPTION b/DESCRIPTION
index 56d710e..7c4c55b 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: simaerep
 Title: Find Clinical Trial Sites Under-Reporting Adverse Events
-Version: 0.5.0
+Version: 0.5.0.900
 Authors@R: c(
     person(given = "Bjoern",
            family = "Koneswarakantha",
@@ -34,7 +34,8 @@ Imports:
     furrr (>= 0.2.1),
     progressr,
     knitr,
-    tibble
+    tibble,
+    dbplyr
 Suggests:
     testthat,
     devtools,
@@ -42,8 +43,11 @@ Suggests:
     spelling,
     haven,
     vdiffr,
-    lintr
+    lintr,
+    DBI,
+    duckdb,
+    ggExtra
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.2
 Language: en-US
 Config/testthat/edition: 3
diff --git a/NAMESPACE b/NAMESPACE
index 08043a3..c11f5e9 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -16,6 +16,7 @@ export(get_pat_pool_config)
 export(get_portf_perf)
 export(is_orivisit)
 export(is_simaerep)
+export(max_rank)
 export(orivisit)
 export(pat_aggr)
 export(pat_pool)
@@ -29,14 +30,17 @@ export(prep_for_sim)
 export(prob_lower_site_ae_vs_study_ae)
 export(purrr_bar)
 export(sim_after_prep)
+export(sim_inframe)
 export(sim_scenario)
 export(sim_sites)
 export(sim_studies)
 export(sim_test_data_patient)
 export(sim_test_data_portfolio)
 export(sim_test_data_study)
+export(sim_ur)
 export(sim_ur_scenarios)
 export(simaerep)
+export(simaerep_inframe)
 export(site_aggr)
 export(with_progress_cnd)
 import(ggplot2)
@@ -45,13 +49,18 @@ importFrom(cowplot,draw_label)
 importFrom(cowplot,get_plot_component)
 importFrom(cowplot,ggdraw)
 importFrom(cowplot,plot_grid)
+importFrom(dbplyr,window_order)
 importFrom(dplyr,across)
+importFrom(dplyr,all_of)
 importFrom(dplyr,any_of)
 importFrom(dplyr,arrange)
 importFrom(dplyr,between)
 importFrom(dplyr,bind_cols)
 importFrom(dplyr,bind_rows)
 importFrom(dplyr,case_when)
+importFrom(dplyr,collect)
+importFrom(dplyr,cross_join)
+importFrom(dplyr,cume_dist)
 importFrom(dplyr,dense_rank)
 importFrom(dplyr,desc)
 importFrom(dplyr,distinct)
@@ -61,6 +70,7 @@ importFrom(dplyr,group_by)
 importFrom(dplyr,group_by_at)
 importFrom(dplyr,inner_join)
 importFrom(dplyr,is_grouped_df)
+importFrom(dplyr,join_by)
 importFrom(dplyr,lag)
 importFrom(dplyr,lead)
 importFrom(dplyr,left_join)
@@ -69,17 +79,23 @@ importFrom(dplyr,mutate_all)
 importFrom(dplyr,mutate_at)
 importFrom(dplyr,n)
 importFrom(dplyr,n_distinct)
+importFrom(dplyr,near)
 importFrom(dplyr,one_of)
+importFrom(dplyr,percent_rank)
 importFrom(dplyr,pull)
 importFrom(dplyr,rename)
 importFrom(dplyr,right_join)
 importFrom(dplyr,row_number)
 importFrom(dplyr,sample_n)
 importFrom(dplyr,select)
+importFrom(dplyr,slice_sample)
+importFrom(dplyr,starts_with)
 importFrom(dplyr,summarise)
 importFrom(dplyr,summarise_all)
 importFrom(dplyr,summarise_at)
+importFrom(dplyr,tbl)
 importFrom(dplyr,ungroup)
+importFrom(dplyr,union_all)
 importFrom(dplyr,vars)
 importFrom(forcats,fct_relevel)
 importFrom(furrr,furrr_options)
@@ -114,6 +130,7 @@ importFrom(stats,rpois)
 importFrom(stats,runif)
 importFrom(stats,sd)
 importFrom(stringr,str_count)
+importFrom(stringr,str_detect)
 importFrom(stringr,str_length)
 importFrom(stringr,str_pad)
 importFrom(tibble,tibble)
diff --git a/NEWS.md b/NEWS.md
index 50b7e5d..a0d3a95 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,9 @@
+# simaerep 0.6.0
+- inframe method use table operations only, do not use visit_med75
+- https://github.com/openpharma/simaerep/issues/59
+- https://github.com/openpharma/simaerep/issues/16
+- update vignettes
+
 # simaerep 0.5.0
 - allow flexible AE rates in data simulations
 - add vignette comparing simaerep to gsm performance
diff --git a/R/0_imports.R b/R/0_imports.R
index 4e51703..4ec94f3 100644
--- a/R/0_imports.R
+++ b/R/0_imports.R
@@ -9,15 +9,17 @@
 #' @importFrom purrr map_int map_chr
 #' @importFrom furrr future_map future_pmap furrr_options
 #' @importFrom progressr with_progress
-#' @importFrom stringr str_count str_pad str_length
+#' @importFrom stringr str_count str_pad str_length str_detect
 #' @importFrom rlang := .data enexpr env_has .env
 #' @importFrom dplyr select mutate filter summarise group_by summarise_all summarise_at
 #' @importFrom dplyr mutate_all mutate_at ungroup vars bind_cols bind_rows pull
 #' @importFrom dplyr n_distinct distinct arrange right_join left_join inner_join
 #' @importFrom dplyr rename sample_n between row_number dense_rank desc case_when
 #' @importFrom dplyr group_by_at n is_grouped_df everything one_of lag any_of across
-#' @importFrom dplyr lead
+#' @importFrom dplyr lead tbl cross_join join_by union_all cume_dist slice_sample
+#' @importFrom dplyr percent_rank all_of starts_with collect near
 #' @importFrom tidyr tibble unnest nest fill
 #' @importFrom knitr kable
 #' @importFrom tibble tibble
+#' @importFrom dbplyr window_order
 NULL
diff --git a/R/S3_orivisit.R b/R/S3_orivisit.R
index 9fb0b0b..2f71f6f 100644
--- a/R/S3_orivisit.R
+++ b/R/S3_orivisit.R
@@ -15,8 +15,7 @@ validate_orivisit <- function(x) {
   comp <- sort(attributes(x)$names) ==  sort(c("dim", "df_summary", "str_call"))
   stopifnot(all(comp))
   stopifnot(length(x$dim) == 2)
-  stopifnot(is.data.frame(x$df_summary))
-  stopifnot(nrow(x$df_summary) == 1)
+  inherits(x$df_summary, "data.frame") | inherits(x$df_summary, "tbl")
   stopifnot(is.character(x$str_call) | is.na(x$str_call))
   return(x)
 }
@@ -44,7 +43,7 @@ get_str_var <- function(call, env) {
 
   str_call <- deparse(call)
 
-  if (str_length(str_call) > 80) {
+  if (sum(str_length(str_call)) > 80) {
     return(NA)
   }
 
@@ -94,7 +93,7 @@ orivisit <- function(df_visit, call = NULL, env = parent.frame()) {
     call <- rlang::enexpr(df_visit)
   }
 
-  stopifnot(is.data.frame(df_visit))
+  stopifnot(inherits(df_visit, "data.frame") | inherits(df_visit, "tbl"))
 
   dim <- dim(df_visit)
   df_summary <- summarise_df_visit(df_visit)
@@ -117,11 +116,15 @@ as.data.frame.orivisit <- function(x, ..., env = parent.frame()) {
 
   df <- rlang::env_get(env, x$str_call, inherit = TRUE)
 
-  dim <- dim(df)
-  df_summary <- summarise_df_visit(df)
+  df_is_tbl <- ! inherits(df, "data.frame") & inherits(df, "tbl")
 
-  if (! all.equal(df_summary, x$df_summary, tolerance = 1e-4)) stop.orivisit()
-  if (! all(dim == x$dim)) stop.orivisit()
+  if (! df_is_tbl) {
+    dim <- dim(df)
+    df_summary <- summarise_df_visit(df)
+
+    if (! all.equal(df_summary, x$df_summary, tolerance = 1e-4)) stop.orivisit()
+    if (! all(dim == x$dim)) stop.orivisit()
+  }
 
   return(df)
 }
diff --git a/R/S3_simaerep.R b/R/S3_simaerep.R
index bf4378e..57d6d1c 100644
--- a/R/S3_simaerep.R
+++ b/R/S3_simaerep.R
@@ -3,6 +3,10 @@ new_simaerep <- function(visit,
                          df_site,
                          df_sim_sites,
                          df_eval,
+                         r,
+                         visit_med75,
+                         inframe,
+                         under_only,
                          param_site_aggr,
                          param_sim_sites,
                          param_eval_sites) {
@@ -13,6 +17,10 @@ new_simaerep <- function(visit,
       df_site = df_site,
       df_sim_sites = df_sim_sites,
       df_eval = df_eval,
+      r = r,
+      visit_med75 = visit_med75,
+      inframe = inframe,
+      under_only = under_only,
       param_site_aggr = param_site_aggr,
       param_sim_sites = param_sim_sites,
       param_eval_sites = param_eval_sites
@@ -31,6 +39,10 @@ validate_simaerep <- function(x) {
       "df_site",
       "df_sim_sites",
       "df_eval",
+      "r",
+      "visit_med75",
+      "inframe",
+      "under_only",
       "param_site_aggr",
       "param_sim_sites",
       "param_eval_sites"
@@ -40,9 +52,9 @@ validate_simaerep <- function(x) {
   stopifnot(all(obj_names == obj_names_check))
 
   stopifnot(is_orivisit(x$visit))
-  stopifnot(is.data.frame(x$df_site))
-  stopifnot(is.data.frame(x$df_sim_sites))
-  stopifnot(is.data.frame(x$df_eval))
+  stopifnot(is.data.frame(x$df_site) | inherits(x$df_site, "tbl"))
+  stopifnot(is.data.frame(x$df_sim_sites) | inherits(x$df_sim_sites, "tbl"))
+  stopifnot(is.data.frame(x$df_eval) | inherits(x$df_eval, "tbl"))
   stopifnot(is.list(x$param_site_aggr))
   stopifnot(is.list(x$param_sim_sites))
   stopifnot(is.list(x$param_eval_sites))
@@ -50,53 +62,263 @@ validate_simaerep <- function(x) {
   return(x)
 }
 
-#'@title create simaerep object
-#'@description simulate AE under-reporting probabilities
-#'@param df_visit data frame with columns: study_id, site_number, patnum, visit,
-#'  n_ae
-#'@param param_site_aggr list of parameters passed to [site_aggr()][site_aggr],
-#'  Default: list(method = "med75_adj", min_pat_pool = 0.2)
-#'@param param_sim_sites list of parameters passed to [sim_sites()][sim_sites],
-#'  Default: list(r = 1000, poisson_test = FALSE, prob_lower = TRUE)
-#'@param param_eval_sites list of parameters passed to
-#'  [eval_sites()][eval_sites], Default: list(method = "BH")
-#'@param progress logical, display progress bar, Default = TRUE
-#'@param check logical, perform data check and attempt repair with
-#'  [check_df_visit()][check_df_visit], computationally expensive on large data
-#'  sets. Default: TRUE
-#'@param env optional, provide environment of original visit data, Default:
-#'  parent.frame()
-#'@param under_only, logical compute under-reporting probabilities only,
-#'  superseeds under_only parameter passed to [eval_sites()][eval_sites] and
-#'  [sim_sites()][sim_sites], Default: TRUE
-#'@return simaerep object
-#'@details executes [site_aggr()][site_aggr], [sim_sites()][sim_sites] and
-#'  [eval_sites()][eval_sites] on original visit data and stores all
-#'  intermediate results. Stores lazy reference to original visit data for
-#'  facilitated plotting using generic plot(x).
+#'@title Create simaerep object
+#'@description Simulate AE under-reporting probabilities.
+#'@param df_visit Data frame with columns: study_id, site_number, patnum, visit,
+#'  n_ae.
+#'@param r Integer or tbl_object, number of repetitions for bootstrap
+#'  simulation. Pass a tbl object referring to a table with one column and as
+#'  many rows as desired repetitions. Default: 1000.
+#'@param check Logical, perform data check and attempt repair with
+#'  [check_df_visit()]. Computationally expensive on large data sets. Default:
+#'  TRUE.
+#'@param visit_med75 Logical, should evaluation point visit_med75 be used.
+#'  Default: TRUE.
+#'@param inframe Logical, only table operations to be used; does not require
+#'  visit_med75. Compatible with dbplyr supported database backends.
+#'@param param_site_aggr List of parameters passed to [site_aggr()]. Default:
+#'  list(method = "med75_adj", min_pat_pool = 0.2).
+#'@param param_sim_sites List of parameters passed to [sim_sites()]. Default:
+#'  list(r = 1000, poisson_test = FALSE, prob_lower = TRUE).
+#'@param param_eval_sites List of parameters passed to [eval_sites()]. Default:
+#'  list(method = "BH").
+#'@param progress Logical, display progress bar. Default: TRUE.
+#'@param env Optional, provide environment of original visit data. Default:
+#'  parent.frame().
+#'@param under_only Logical, compute under-reporting probabilities only.
+#'  Supersedes under_only parameter passed to [eval_sites()] and [sim_sites()].
+#'  Default: TRUE.
+#'@return A simaerep object.
+#'@details Executes [site_aggr()], [sim_sites()], and [eval_sites()] on original
+#'  visit data and stores all intermediate results. Stores lazy reference to
+#'  original visit data for facilitated plotting using generic plot(x).
 #' @examples
-#'
 #' df_visit <- sim_test_data_study(
 #'   n_pat = 100,
 #'   n_sites = 5,
 #'   frac_site_with_ur = 0.4,
 #'   ur_rate = 0.6
 #' )
-#'
 #' df_visit$study_id <- "A"
-#'
 #' aerep <- simaerep(df_visit)
-#'
 #' aerep
-#'
 #' str(aerep)
-#'
+#' \donttest{
+#'   # In-frame table operations
+#'   simaerep(df_visit, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval
+#'   simaerep(df_visit, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval
+#'   # Database example
+#'   con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+#'   df_r <- tibble::tibble(rep = seq(1, 1000))
+#'   dplyr::copy_to(con, df_visit, "visit")
+#'   dplyr::copy_to(con, df_r, "r")
+#'   tbl_visit <- dplyr::tbl(con, "visit")
+#'   tbl_r <- dplyr::tbl(con, "r")
+#'   simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval
+#'   simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval
+#'   DBI::dbDisconnect(con)
+#' }
+#'@seealso [site_aggr()], [sim_sites()], [eval_sites()], [orivisit()],
+#'  [plot.simaerep()]
+#'@export
 #'@seealso [site_aggr()][site_aggr], [sim_sites()][sim_sites],
 #'  [eval_sites()][eval_sites], [orivisit()][orivisit],
 #'  [plot.simaerep()][plot.simaerep]
 #'@rdname simaerep
 #'@export
 simaerep <- function(df_visit,
+                     r = 1000,
+                     check = TRUE,
+                     under_only = TRUE,
+                     visit_med75 = TRUE,
+                     inframe = FALSE,
+                     progress = TRUE,
+                     param_site_aggr = list(
+                       method = "med75_adj",
+                       min_pat_pool = 0.2
+                     ),
+                     param_sim_sites = list(
+                       r = 1000,
+                       poisson_test = FALSE,
+                       prob_lower = TRUE
+                     ),
+                     param_eval_sites = list(
+                       method = "BH"
+                     ),
+                     env = parent.frame()) {
+
+  call <- rlang::enexpr(df_visit)
+
+  # when two tbl objects passed automatically switch to inframe
+  is_tbl_df_visit <- ! is.data.frame(df_visit) & inherits(df_visit, "tbl")
+  is_tbl_r <- ! is.data.frame(r) & inherits(r, "tbl")
+
+  if (is_tbl_df_visit && is_tbl_r) {
+    inframe <- TRUE
+  }
+
+  # save visit call
+  visit <- tryCatch({
+    visit <- orivisit(df_visit, call, env = env)
+    as.data.frame(visit)
+    visit},
+    error = function(e) df_visit
+  )
+
+  param_sim_sites$under_only <- under_only
+  param_eval_sites$under_only <- under_only
+
+  if (visit_med75 && ! inframe) {
+
+    if (r != param_sim_sites$r) {
+      param_sim_sites$r <- r
+      warning("r not equal param_sim_sites$r, overriding param_sim_sites$r")
+    }
+
+    aerep <- simaerep_visit_med75(
+      df_visit = visit,
+      under_only = under_only,
+      progress = progress,
+      param_site_aggr = param_site_aggr,
+      param_sim_sites = param_sim_sites,
+      param_eval_sites = param_eval_sites,
+      env = env,
+      check = check
+    )
+
+  } else if (inframe) {
+    aerep <- simaerep_inframe(
+      df_visit = visit,
+      r = r,
+      under_only = under_only,
+      visit_med75 = visit_med75,
+      param_site_aggr = param_site_aggr,
+      param_eval_sites = param_eval_sites,
+      env = env,
+      check = check
+    )
+  } else {
+    stop("visit_med75 parameter mus be TRUE if inframe is FALSE")
+  }
+
+  return(aerep)
+
+}
+
+#' simulate in dataframe
+#' @inheritParams simaerep
+#' @keywords internal
+#' @export
+#' @examples
+#' df_visit <- sim_test_data_study(
+#'  n_pat = 100,
+#'  n_sites = 5,
+#'  frac_site_with_ur = 0.4,
+#'  ur_rate = 0.6
+#' )
+#' df_visit$study_id <- "A"
+#'
+#' simaerep_inframe(df_visit)
+#' simaerep_inframe(df_visit, visit_med75 = TRUE)$df_eval
+#'\donttest{
+#'# Database
+#'con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+#'df_r <- tibble::tibble(rep = seq(1, 1000))
+#'
+#'dplyr::copy_to(con, df_visit, "visit")
+#'dplyr::copy_to(con, df_r, "r")
+#'
+#'tbl_visit <- dplyr::tbl(con, "visit")
+#'tbl_r <- dplyr::tbl(con, "r")
+#'
+#'simaerep_inframe(tbl_visit, r = tbl_r)$df_eval
+#'simaerep_inframe(tbl_visit, r = tbl_r, visit_med75 = TRUE)$df_eval
+#'
+#'DBI::dbDisconnect(con)
+#'}
+simaerep_inframe <- function(df_visit,
+                             r = 1000,
+                             under_only = FALSE,
+                             visit_med75 = FALSE,
+                             check = TRUE,
+                             param_site_aggr = list(
+                               method = "med75_adj",
+                               min_pat_pool = 0.2
+                             ),
+                             param_eval_sites = list(
+                               method = "BH"
+                             ),
+                             env = parent.frame()) {
+
+  if (inherits(df_visit, "orivisit")) {
+    visit <- df_visit
+    df_visit <- as.data.frame(df_visit, env = env)
+  } else {
+    call <- rlang::enexpr(df_visit)
+    visit <- orivisit(df_visit, call, env = env)
+  }
+
+  # check
+  if (check) {
+    df_visit <- check_df_visit(df_visit)
+  }
+
+  if (! visit_med75) {
+    param_site_aggr$method <- "max"
+  }
+
+  df_site <- do.call(
+    site_aggr,
+    c(
+      list(df_visit = df_visit),
+      check = FALSE,
+      param_site_aggr
+    )
+  )
+
+  if (visit_med75) {
+    df_sim_sites <- sim_inframe(df_visit, r = r, df_site = df_site)
+  } else {
+    df_sim_sites <- sim_inframe(df_visit, r = r)
+  }
+
+  # evaluate
+  df_eval <- do.call(
+    eval_sites,
+    c(
+      list(df_sim_sites = df_sim_sites),
+      param_eval_sites
+    )
+  )
+
+  if (visit_med75) {
+    df_eval <- df_eval %>%
+      left_join(
+        df_site %>%
+          select(- "n_pat"),
+        by = c("study_id", "site_number")
+      ) %>%
+      select(- "mean_ae_site_med75")
+  }
+
+  validate_simaerep(
+    new_simaerep(
+      visit = visit,
+      df_site,
+      df_sim_sites,
+      df_eval,
+      r = r,
+      visit_med75 = visit_med75,
+      inframe = TRUE,
+      under_only = under_only,
+      param_site_aggr = param_site_aggr,
+      param_sim_sites = list(),
+      param_eval_sites = param_eval_sites
+    )
+  )
+}
+
+simaerep_visit_med75 <- function(df_visit,
                      param_site_aggr = list(
                        method = "med75_adj",
                        min_pat_pool = 0.2
@@ -109,15 +331,21 @@ simaerep <- function(df_visit,
                      param_eval_sites = list(
                        method = "BH"
                      ),
-                     progress = TRUE,
                      check = TRUE,
+                     progress = TRUE,
                      env = parent.frame(),
-                     under_only = TRUE) {
+                     under_only = TRUE,
+                     r = 1000) {
 
-  call <- rlang::enexpr(df_visit)
-
-  visit <- orivisit(df_visit, call, env = env)
+  if (inherits(df_visit, "orivisit")) {
+    visit <- df_visit
+    df_visit <- as.data.frame(df_visit, env = env)
+  } else {
+    call <- rlang::enexpr(df_visit)
+    visit <- orivisit(df_visit, call, env = env)
+  }
 
+  # check
   if (check) {
     df_visit <- check_df_visit(df_visit)
   }
@@ -161,6 +389,10 @@ simaerep <- function(df_visit,
       df_site,
       df_sim_sites,
       df_eval,
+      r = param_sim_sites$r,
+      visit_med75 = TRUE,
+      inframe = FALSE,
+      under_only = under_only,
       param_site_aggr = param_site_aggr,
       param_sim_sites = param_sim_sites,
       param_eval_sites = param_eval_sites
@@ -218,7 +450,14 @@ plot.simaerep <- function(x,
   )
 
   if (is.null(study)) {
-    study <- unique(x$df_eval$study_id)[[1]]
+
+    studies <- x$df_eval %>%
+      distinct(.data$study_id) %>%
+      pull(.data$study_id) %>%
+      sort()
+
+    study <- studies[1]
+
     message(paste0("study = NULL, defaulting to study:", study))
   }
 
@@ -259,7 +498,7 @@ print.simaerep <- function(x, ...) {
     paste(
       c(
         "simaerep object:",
-        "Check aerep$df_eval prob_low_prob_ur column for AE under-reporting probabilites.",
+        "Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.",
         "Plot results using plot() generic."
       ),
       collapse = "\n"
diff --git a/R/inframe.R b/R/inframe.R
new file mode 100644
index 0000000..0778505
--- /dev/null
+++ b/R/inframe.R
@@ -0,0 +1,283 @@
+
+
+
+#' prune visits to visit_med75 using table operations
+#'@inheritParams simaerep
+#'@param df_site dataframe, as returned by [site_aggr()]
+#'@keywords internal
+prune_to_visit_med75_inframe <- function(df_visit, df_site) {
+  df_pat_aggr <- pat_aggr(df_visit)
+
+  # drop patients that did not reach visit_med75
+  df_pat <- df_pat_aggr %>%
+    left_join(
+      df_site,
+      by = c("study_id", "site_number")
+    ) %>%
+    filter(.data$max_visit_per_pat >= .data$visit_med75) %>%
+    select(c("study_id", "site_number", "patnum", "visit_med75"))
+
+  # filter patients and drop excess visits
+  df_visit <- df_visit %>%
+    inner_join(
+      df_pat,
+      by = c("study_id", "site_number", "patnum")
+    ) %>%
+    filter(.data$visit <= .data$visit_med75) %>%
+    select(- c("visit_med75"))
+}
+
+
+#' Calculate prob_lower for study sites using table operations
+#'@export
+#'@inheritParams simaerep
+#'@param df_site, dataframe as returned be [site_aggr()], Will switch to visit_med75.
+#'Default: NULL
+#'@examples
+#' df_visit <- sim_test_data_study(
+#'   n_pat = 100,
+#'   n_sites = 5,
+#'   frac_site_with_ur = 0.4,
+#'   ur_rate = 0.6
+#' )
+#' df_visit$study_id <- "A"
+#'
+#' df_sim <- sim_inframe(df_visit)
+#' df_eval <- eval_sites(df_sim)
+#' df_eval
+sim_inframe <- function(df_visit, r = 1000, df_site = NULL) {
+
+  # db back-end, to not form ratios from integers
+  df_visit <- df_visit %>%
+    mutate(
+      n_ae = as.double(.data$n_ae),
+      visit = as.double(.data$visit)
+    )
+
+  if (! inherits(r, "tbl")) {
+    df_r <- tibble(rep = seq(1, r))
+  } else {
+    df_r <- r %>%
+      rename(rep = 1)
+  }
+
+  # aggregate per patient to get max visits
+  df_pat_aggr_pool <- pat_aggr(df_visit)
+
+  # this implements visit_med75
+  if (! is.null(df_site)) {
+    df_visit_prune <- prune_to_visit_med75_inframe(df_visit, df_site)
+
+    df_calc_ori <- df_visit_prune %>%
+      filter(visit == max(.data$visit, na.rm = TRUE), .by = c("patnum", "study_id")) %>%
+      summarise(
+        events = sum(.data$n_ae),
+        visits = sum(.data$visit),
+        n_pat = n_distinct(.data$patnum),
+        events_per_visit_site_ori = sum(.data$n_ae, na.rm = TRUE) / sum(.data$visit, na.rm = TRUE),
+        .by = c("study_id", "site_number")
+      )
+
+    df_pat_aggr_site <- df_visit_prune %>%
+      prune_to_visit_med75_inframe(df_site) %>%
+      pat_aggr()
+
+    remove(df_visit_prune)
+
+  } else {
+    df_pat_aggr_site <- df_pat_aggr_pool
+
+    df_calc_ori <- df_visit %>%
+      filter(visit == max(.data$visit, na.rm = TRUE), .by = c("patnum", "study_id")) %>%
+      summarise(
+        events = sum(.data$n_ae),
+        visits = sum(.data$visit),
+        n_pat = n_distinct(.data$patnum),
+        events_per_visit_site_ori = sum(.data$n_ae, na.rm = TRUE) / sum(.data$visit, na.rm = TRUE),
+        .by = c("study_id", "site_number")
+      )
+  }
+
+  # for every max visit in the data add all eligible patients
+  # assign a number to each patient
+  df_visit_pat_pool <- df_pat_aggr_pool %>%
+    distinct(.data$study_id, visit = .data$max_visit_per_pat) %>%
+    left_join(
+      df_pat_aggr_pool,
+      by = join_by(
+        "visit" <= "max_visit_per_pat",
+        "study_id" == "study_id"
+      )
+    ) %>%
+    mutate(
+      rwn = row_number(),
+      .by = c("study_id", "visit")
+    ) %>%
+    mutate(
+      max_rwn = max(.data$rwn, na.rm = TRUE),
+      .by = c("study_id", "visit")
+    )
+
+  # for each site create repetitions using cross join
+  # add patients with maximum visit back to each site
+  df_sim_prep <- df_pat_aggr_site %>%
+    distinct(.data$study_id, .data$site_number) %>%
+    cross_join(df_r) %>%
+    left_join(
+      df_pat_aggr_site,
+      by = c("study_id", "site_number"),
+      relationship = "many-to-many"
+    ) %>%
+  # add number of eligible patients from pool
+    left_join(
+      df_visit_pat_pool %>%
+        distinct(.data$study_id, .data$visit, .data$max_rwn),
+      by = c("study_id", max_visit_per_pat = "visit")
+    ) %>%
+    mutate(
+      # we generate a random number between 1 and the maximum number
+      # of eligible patients
+      rnd = runif(n()),
+      # transform to values between 1 and max number of patients
+      rnd_rwn = floor(.data$rnd * .data$max_rwn) + 1
+    )
+
+  df_sim <- df_sim_prep %>%
+    left_join(
+      df_visit_pat_pool %>%
+        select(c("study_id", "visit", patnum_new = "patnum", "rwn")),
+      by = c(study_id = "study_id", max_visit_per_pat = "visit", rnd_rwn = "rwn")
+    ) %>%
+    select(c("study_id", "site_number", "rep", patnum = "patnum_new", visit = "max_visit_per_pat"))
+
+
+  # add appropriate visit with cumulative event and visit count for every new patient
+  df_calc <- df_sim %>%
+    left_join(
+      df_visit %>%
+        select(c("study_id", "patnum", "visit", "n_ae")),
+      by = c("study_id", "patnum", "visit")
+    ) %>%
+    # calculate site level event rates for every repetition
+    summarise(
+      events_per_visit_site_rep = sum(.data$n_ae, na.rm = TRUE) / sum(.data$visit, na.rm = TRUE),
+      .by = c("study_id", "rep", "site_number")
+    )
+
+  # join original with simulations
+  df_calc_aggr <- df_calc %>%
+    left_join(
+      df_calc_ori,
+      by = c("study_id", "site_number")
+    ) %>%
+    summarise(
+      # calculate probability by comparing original stats with simulated stats
+      # how many times simulated value below original value
+      prob_low = sum(
+        ifelse(
+          .data$events_per_visit_site_rep <= .data$events_per_visit_site_ori,
+          1, 0
+          ),
+        na.rm = TRUE
+      ) / n(),
+      events_per_visit_study = mean(.data$events_per_visit_site_rep, na.rm = TRUE),
+      .by = c("study_id", "site_number", "events_per_visit_site_ori", "events",
+              "visits", "n_pat")
+    ) %>%
+    rename(events_per_visit_site = "events_per_visit_site_ori")
+
+  return(df_calc_aggr)
+}
+
+#' benjamini hochberg p value correction using table operations
+#'@keywords internal
+p_adjust_bh_inframe <- function(df_eval, col, suffix) {
+
+  any_probx <- any(str_detect(colnames(df_eval), "probx_"))
+
+  stopifnot("probx_ prefix in colnames(df_eval) not allowed" = ! any_probx)
+
+  if (inherits(df_eval, "data.frame")) {
+    fun_arrange <- arrange
+  } else {
+    fun_arrange <- window_order
+  }
+
+  col_adj <- paste0(col, "_adj")
+  col_suffix <- paste0(col, suffix)
+
+  df_out <- df_eval %>%
+    mutate(probx = .data[[col]]) %>%
+    fun_arrange(.data$study_id, .data$probx) %>%
+    max_rank("probx", "probx_n_detected") %>%
+    mutate(
+      probx_min = min(ifelse(.data$probx == 0, NA, .data$probx), na.rm = TRUE),
+      .by = "study_id"
+    ) %>%
+    mutate(
+      probx_fp = .data$probx * n(),
+      probx_fp = ifelse(.data$probx_fp == 0, .data$probx_min / 10, .data$probx_fp)
+    ) %>%
+    mutate(
+      probx_p_vs_fp_ratio = .data$probx_n_detected / .data$probx_fp,
+      probx_p_vs_fp_ratio = ifelse(is.na(.data$probx_p_vs_fp_ratio),
+                                      0, .data$probx_p_vs_fp_ratio),
+      # it is possible to get ratios lower than one if p < expected fp
+      # this can happen by chance and is meaningless
+      probx_p_vs_fp_ratio = ifelse(.data$probx_p_vs_fp_ratio < 1, 1, .data$probx_p_vs_fp_ratio)
+    ) %>%
+    mutate(
+      !! as.name(col_adj) := 1 / .data$probx_p_vs_fp_ratio,
+      !! as.name(col_suffix) := 1 - .data[[col_adj]]
+    ) %>%
+    select(- starts_with("probx"))
+
+  return(df_out)
+}
+
+
+#' Calculate Max Rank
+#' @description
+#' like rank() with ties.method = "max", works on tbl objects
+#' @param df dataframe
+#' @param col character column name to rank y
+#' @param col_new character column name for rankings
+#' @details
+#' this is needed for hochberg p value adjustment. We need to assign higher
+#' rank when multiple sites have same p value
+#'
+#' @export
+#' @examples
+#'
+#'df <- tibble::tibble(s = c(1, 2, 2, 2, 5, 10)) %>%
+#'  dplyr::mutate(
+#'    rank = rank(s, ties.method = "max")
+#'  )
+#'
+#'df %>%
+#'  max_rank("s", "max_rank")
+#'\donttest{
+#'# Database
+#'con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+#'
+#'dplyr::copy_to(con, df, "df")
+#'max_rank(dplyr::tbl(con, "df"), "s", "max_rank")
+#'
+#'DBI::dbDisconnect(con)
+#'}
+max_rank <- function(df, col, col_new) {
+
+  any_na <- get_any_na(df, col)
+
+  stopifnot("NA in max_rank col" = ! any_na)
+
+  df %>%
+    mutate(
+      rwn = row_number(),
+    ) %>%
+    mutate(
+      !! as.name(col_new) := max(.data$rwn, na.rm = TRUE),
+      .by = all_of(col)
+    ) %>%
+    select(- "rwn")
+}
diff --git a/R/simaerep.R b/R/simaerep.R
index 80d051c..e0d12af 100644
--- a/R/simaerep.R
+++ b/R/simaerep.R
@@ -38,38 +38,24 @@ check_df_visit <- function(df_visit) {
   df_visit <- ungroup(df_visit)
 
   stopifnot(
-    all(c("study_id", "site_number", "patnum", "n_ae", "visit") %in% names(df_visit))
+    all(c("study_id", "site_number", "patnum", "n_ae", "visit") %in% colnames(df_visit))
   )
 
-  cols_na <- df_visit %>%
-    summarise_at(
-        vars(c(
-          "study_id",
-          "site_number",
-          "patnum",
-          "n_ae",
-          "visit"
-        )),
-        anyNA
-      ) %>%
+  no_na_cols <- c(
+    "study_id",
+    "site_number",
+    "patnum",
+    "n_ae",
+    "visit"
+  )
+
+  cols_na <- purrr::map(no_na_cols, ~ get_any_na(df_visit, .)) %>%
     unlist()
 
   if (any(cols_na)) {
-    stop(paste("NA detected in columns:", paste(names(cols_na)[cols_na], collapse = ",")))
+    stop(paste("NA detected in columns:", paste(no_na_cols[cols_na], collapse = ",")))
   }
 
-    df_visit %>%
-      summarise_at(
-        vars(c(
-          "n_ae",
-          "visit"
-        )),
-        ~ is.numeric(.)
-      ) %>%
-      unlist() %>%
-      all() %>%
-      stopifnot("n_ae and vist columns must be numeric" = .)
-
   df_visit %>%
     group_by(.data$study_id, .data$patnum) %>%
     summarise(n_sites = n_distinct(.data$site_number), .groups = "drop") %>%
@@ -86,9 +72,22 @@ check_df_visit <- function(df_visit) {
     all() %>%
     stopifnot("visit numbering should start at 1" = .)
 
-  df_visit <- exp_implicit_missing_visits(df_visit)
+  if (inherits(df_visit, "data.frame")) {
+    df_visit %>%
+      summarise_at(
+        vars(c(
+          "n_ae",
+          "visit"
+        )),
+        ~ is.numeric(.)
+      ) %>%
+      unlist() %>%
+      all() %>%
+      stopifnot("n_ae and visit columns must be numeric" = .)
 
-  df_visit <- aggr_duplicated_visits(df_visit)
+    df_visit <- exp_implicit_missing_visits(df_visit)
+    df_visit <- aggr_duplicated_visits(df_visit)
+  }
 
   return(df_visit)
 }
@@ -245,19 +244,39 @@ get_visit_med75 <- function(df_pat,
                             method = "med75_adj",
                             min_pat_pool = 0.2) {
 
+  if (inherits(df_pat, "data.frame")) {
+    fun_arrange <- arrange
+  } else {
+    fun_arrange <- window_order
+  }
+
+  # we have to separate the aggregation steps into two steps
+  # we need to reference visit_med75 for counting patients with
+  # visit_med75 not all db backends may support this
+
+  df_visit_med75 <- df_pat %>%
+    summarise(
+      visit_med75 = ceiling(median(.data$max_visit_per_pat) * 0.75),
+      .by = c("study_id", "site_number")
+    )
+
   df_site <- df_pat %>%
-    group_by(.data$study_id, .data$site_number) %>%
+    left_join(
+      df_visit_med75,
+      by = c("study_id", "site_number")
+    ) %>%
     summarise(
       n_pat = n_distinct(.data$patnum),
-      visit_med75 = ceiling(median(.data$max_visit_per_pat) * 0.75),
-      n_pat_with_med75 = n_distinct(
-        .data$patnum[.data$max_visit_per_pat >= .data$visit_med75]
+      n_pat_with_med75 = sum(ifelse(
+        .data$max_visit_per_pat >= .data$visit_med75,
+        1, 0)
       ),
-      .groups = "drop"
+      .by = c("study_id", "site_number", "visit_med75")
     )
 
 
   if (method == "med75_adj") {
+
     df_site <- df_site %>%
       right_join(
         df_pat,
@@ -265,26 +284,49 @@ get_visit_med75 <- function(df_pat,
       ) %>%
       mutate(
         pat_has_visit_med75 = ifelse(.data$max_visit_per_pat >= .data$visit_med75, 1, 0)
-      ) %>%
-      group_by(.data$study_id) %>%
-      mutate(
-        study_qup8_max_visit = quantile(.data$max_visit_per_pat, probs = c(1 - min_pat_pool)),
-        study_qup8_max_visit = round(.data$study_qup8_max_visit, 0)
-      ) %>%
-      group_by(
-        .data$study_id,
-        .data$site_number,
-        .data$n_pat,
-        .data$n_pat_with_med75,
-        .data$study_qup8_max_visit,
+      )
+
+    if (inherits(df_pat, "data.frame")) {
+      # this cannot be exactly replicated, we maintain this method so that results
+      # do not change compared to previous versions
+      df_qup8 <- df_site %>%
+        summarise(
+          study_qup8_max_visit = quantile(.data$max_visit_per_pat, probs = c(1 - min_pat_pool)),
+          study_qup8_max_visit = round(.data$study_qup8_max_visit, 0),
+          .by = "study_id"
         ) %>%
+        select(c("study_id", "study_qup8_max_visit"))
+
+    } else {
+      # calculate max_visit that covers at least min_map_pool
+      # wer are not using quantile for db backend compatibility
+      df_qup8 <- df_site %>%
+        mutate(
+          rnk = percent_rank(.data$max_visit_per_pat),
+          .by = "study_id"
+        ) %>%
+        filter(.data$rnk <= 1 - .env$min_pat_pool) %>%
+        fun_arrange(.data$study_id, desc(.data$max_visit_per_pat)) %>%
+        filter(row_number() == 1, .by = "study_id") %>%
+        select(c("study_id", study_qup8_max_visit = "max_visit_per_pat"))
+    }
+
+    df_site <- df_site %>%
+      left_join(
+        df_qup8,
+        by = c("study_id")
+      ) %>%
       summarise(
+        # from all patients that have a visit_med75 we take the smallest maximum
         visit_med75 = min(
-          .data$max_visit_per_pat[.data$pat_has_visit_med75 == 1]
+          ifelse(.data$pat_has_visit_med75 == 1, .data$max_visit_per_pat, NA),
+          na.rm = TRUE
         ),
-        .groups = "drop"
+        .by = c("study_id", "site_number", "n_pat", "n_pat_with_med75", "study_qup8_max_visit")
       ) %>%
       mutate(
+        # we correct visit_med75 so that it cannot exceed a visit with less than
+        # the minimum ratio of patients
         visit_med75 = ifelse(
           .data$visit_med75 > .data$study_qup8_max_visit,
           .data$study_qup8_max_visit,
@@ -360,77 +402,118 @@ eval_sites <- function(df_sim_sites,
 
   df_out <- df_sim_sites
 
-  if ("pval" %in% names(df_out)) {
-    # nolint start
-    if (anyNA(df_out$pval)) {
-      warning_messages <- df_out %>%
-        filter(is.na(.data$pval)) %>%
-        mutate(
-          warning = paste0("\nstudy_id: ", .data$study_id, ", site_number: ", .data$site_number),
-          warning = paste0(.data$warning, ". pval == NA")
-        ) %>%
-        pull(.data$warning)
+  if ("pval" %in% colnames(df_out)) {
 
-      warning(warning_messages)
-    }
-    # nolint end
+    warning_na(df_out, "pval")
 
     df_out <- df_out %>%
-      group_by(.data$study_id) %>%
-      arrange(.data$study_id, .data$pval) %>%
-      mutate(
-        pval_adj = p.adjust(.data$pval, method = method),
-        pval_prob_ur = 1 - .data$pval_adj
-      )
+      p_adjust("pval", "_prob_ur", method = method)
   }
 
-  if ("prob_low" %in% names(df_out)) {
-    # nolint start
-    if (anyNA(df_out$prob_low)) {
-      warning_messages <- df_out %>%
-        filter(is.na(.data$prob_low)) %>%
-        mutate(
-          warning = paste0("\nstudy_id: ", .data$study_id, ", site_number: ", .data$site_number),
-          warning = paste0(.data$warning, ", prob_low == NA")
-        ) %>%
-        distinct() %>%
-        pull(.data$warning) %>%
-        paste(collapse = "\n")
+  if ("prob_low" %in% colnames(df_out)) {
 
-      warning(warning_messages)
-    }
-    # nolint end
+    warning_na(df_out, "prob_low")
 
     df_out <- df_out %>%
-      group_by(.data$study_id) %>%
-      arrange(.data$study_id, .data$prob_low) %>%
-      mutate(
-        prob_low_adj = p.adjust(.data$prob_low, method = method),
-        prob_low_prob_ur = 1 - .data$prob_low_adj
-      )
+      p_adjust("prob_low", "_prob_ur", method = method)
+
 
     if (! under_only) {
+      if (any(str_detect(colnames(df_out), "med75"))) {
+        df_out <- df_out %>%
+          mutate(study_site_ae_equal = .data$mean_ae_site_med75 == .data$mean_ae_study_med75)
+      } else {
+        df_out <- df_out %>%
+          mutate(study_site_ae_equal = .data$events_per_visit_site == .data$events_per_visit_study)
+      }
+
       df_out <- df_out %>%
         mutate(
           prob_high = 1 - .data$prob_low,
+          # when study and site values are equl e.g. both zero, no over-reporting possible
           prob_high = ifelse(
-            .data$mean_ae_site_med75 == .data$mean_ae_study_med75,
+            .data$study_site_ae_equal,
             1,
             .data$prob_high
           )
         ) %>%
-        arrange(.data$study_id, .data$prob_high) %>%
-        mutate(
-          prob_high_adj = p.adjust(.data$prob_high, method = method),
-          prob_high_prob_or = 1 - .data$prob_high_adj
-        )
+        select(- "study_site_ae_equal") %>%
+        p_adjust("prob_high", "_prob_or", method = method)
     }
 
   }
 
-  return(ungroup(df_out))
+  if (inherits(df_out, "data.frame")) {
+    fun_arrange <- arrange
+  } else {
+    fun_arrange <- window_order
+  }
+
+  df_out <- df_out %>%
+    fun_arrange(.data$study_id, .data$site_number)
+
+  return(df_out)
+}
+
+#'@keywords internal
+p_adjust <- function(df, col, suffix, method = "BH") {
+
+  if (inherits(df, "data.frame")) {
+
+  col_adj <- paste0(col, "_adj")
+  col_suffix <- paste0(col, suffix)
+
+  df_out <- df %>%
+    mutate(
+      !! as.name(col_adj) := p.adjust(.data[[col]], method = method),
+      !! as.name(col_suffix) := 1 - .data[[col_adj]],
+      .by = "study_id"
+    )
+
+  } else {
+    df_out <- p_adjust_bh_inframe(df, col, suffix)
+  }
+
+  return(df_out)
+
 }
 
+#'@keywords internal
+warning_na <- function(df, col) {
+
+  any_na <- get_any_na(df, col)
+
+  if (any_na) {
+    warning_messages <- df %>%
+      filter(is.na(.data[[col]])) %>%
+      mutate(
+        warning = paste0("\nstudy_id: ", .data$study_id, ", site_number: ", .data$site_number),
+        warning = paste0(.data$warning, ", ", col, "== NA")
+      ) %>%
+      distinct() %>%
+      pull(.data$warning) %>%
+      paste(collapse = "\n")
+
+    warning(warning_messages)
+  }
+}
+
+get_any_na <- function(df, col) {
+  # dbplyr throws a warning for not using na.rm = TRUE
+  suppressWarnings({
+    df %>%
+      mutate(
+        any_na = ifelse(is.na(.data[[col]]), 1, 0)
+      ) %>%
+      summarise(
+        any_na = sum(.data$any_na, na.rm = TRUE)
+      ) %>%
+      mutate(
+        any_na = .data$any_na > 0
+      ) %>%
+      pull(.data$any_na)
+  })
+}
 
 #' @title Evaluate sites.
 #' @description Correct under-reporting probabilities by the expected number of
@@ -538,6 +621,8 @@ eval_sites_deprecated <- function(df_sim_sites,
   return(ungroup(df_out))
 }
 
+
+
 #' @title Get empirical cumulative distribution values of pval or prob_lower
 #' @description Test function, test applicability of poisson test, by calculating
 #' - the bootstrapped probability of obtaining a specific p-value or lower, use
@@ -686,6 +771,11 @@ prob_lower_site_ae_vs_study_ae <- function(site_ae, study_ae, r = 1000, parallel
   mean_ae_site <- mean(site_ae, na.rm = TRUE)
   mean_ae_study <- mean(study_ae, na.rm = TRUE)
 
+  # this can happen when no patients with site visit_med75 were found in study
+  if (is.na(mean_ae_study)) {
+    return(NA)
+  }
+
   if (under_only) {
     # we are not interested in cases where site AE is greater study AE
     if (mean_ae_site > mean_ae_study) {
@@ -1229,8 +1319,26 @@ site_aggr <- function(df_visit,
 
   # Checks ----------------------------------------------------------
   stopifnot(
-    method %in% c("med75", "med75_adj")
+    method %in% c("med75", "med75_adj", "max")
   )
+
+  if (method == "max") {
+
+    df_site <- df_visit %>%
+      mutate(
+        max_visit = max(.data$visit, na.rm = TRUE),
+        pat_has_max_visit = ifelse(visit == .data$max_visit, patnum, NA),
+        .by = c("study_id", "site_number")
+      ) %>%
+      summarise(
+        n_pat = n_distinct(.data$patnum),
+        n_pat_with_max_visit = n_distinct(.data$pat_has_max_visit),
+        .by = c("study_id", "site_number", "max_visit")
+      )
+
+    return(df_site)
+  }
+
   if (check) {
     df_visit <- check_df_visit(df_visit)
   }
@@ -1301,6 +1409,11 @@ poiss_test_site_ae_vs_study_ae <- function(site_ae,
   mean_ae_site <- mean(site_ae, na.rm = TRUE)
   mean_ae_study <- mean(study_ae, na.rm = TRUE)
 
+  # this can happen when no patients with site visit_med75 were found in study
+  if (is.na(mean_ae_study)) {
+    return(NA)
+  }
+
   # we are not interested in cases where site AE is greater study AE
   if (mean_ae_site > mean_ae_study) {
     pval <- 1
diff --git a/R/simaerep_plot.R b/R/simaerep_plot.R
index ceb5ea9..9b8da05 100644
--- a/R/simaerep_plot.R
+++ b/R/simaerep_plot.R
@@ -446,11 +446,29 @@ plot_study <- function(df_visit,
 
   # TODO: parametrize scores, fix legend
 
+  studies <- df_visit %>%
+    distinct(.data$study_id) %>%
+    pull(.data$study_id)
+
+  stopifnot(study %in% studies)
+  stopifnot(study %in% studies)
+  stopifnot(study %in% studies)
+
+  # filter studies -----------------------------------------------------------
+
+  df_visit <- df_visit %>%
+    filter(.data$study_id %in% study) %>%
+    collect()
+
   df_visit <- check_df_visit(df_visit)
 
-  stopifnot(study %in% unique(df_visit$study_id))
-  stopifnot(study %in% unique(df_site$study_id))
-  stopifnot(study %in% unique(df_eval$study_id))
+  df_site <- df_site %>%
+    filter(.data$study_id %in% study) %>%
+    collect()
+
+  df_eval <- df_eval %>%
+    filter(.data$study_id %in% study) %>%
+    collect()
 
   # alert level -------------------------------------------------------------
 
@@ -467,6 +485,7 @@ plot_study <- function(df_visit,
                        "alert_level_study")))
   }
 
+
   # fill in pvalues when missing --------------------------------------------
 
   if (! "pval_prob_ur" %in% colnames(df_eval)) {
@@ -485,16 +504,38 @@ plot_study <- function(df_visit,
   df_site <- df_site %>%
     mutate_at(vars(c("study_id", "site_number")), as.character)
 
-  # filter studies -----------------------------------------------------------
 
-  df_visit <- df_visit %>%
-    filter(.data$study_id %in% study)
+  # adjust to visit_med75 or alternative ---------------------------------------
 
-  df_site <- df_site %>%
-    filter(.data$study_id %in% study)
+  if (all(c("events_per_visit_study", "events_per_visit_site") %in% colnames(df_eval))) {
+    col_mean_site <- "events_per_visit_site"
+  } else {
+    col_mean_site <- "mean_ae_site_med75"
+  }
 
-  df_eval <- df_eval %>%
-    filter(.data$study_id %in% study)
+  if ("visit_med75" %in% colnames(df_site)) {
+    col_visit <- "visit_med75"
+
+    df_pat <- pat_aggr(df_visit)
+
+    df_visit_med75 <- df_visit %>%
+      left_join(
+        df_site %>%
+          select(c("study_id", "site_number", "visit_med75")),
+        by = c("study_id", "site_number")
+      ) %>%
+      left_join(
+        df_pat %>%
+          select(c("study_id", "site_number", "patnum", "max_visit_per_pat")),
+        by = c("study_id", "site_number", "patnum")
+      ) %>%
+      filter(.data$visit <= .data$visit_med75, .data$max_visit_per_pat >= .data$visit_med75) %>%
+      select(- c("visit_med75", "max_visit_per_pat"))
+
+  } else {
+    col_visit <- "max_visit"
+    df_visit_med75 <- df_visit
+  }
 
   # ordered sites -------------------------------------------------------------
 
@@ -504,28 +545,24 @@ plot_study <- function(df_visit,
 
   if (n_site_ur_gr_0p5 > 0) {
     sites_ordered <- df_eval %>%
-      arrange(.data$study_id, desc(.data[[prob_col]]), .data$mean_ae_site_med75) %>%
+      arrange(.data$study_id, desc(.data[[prob_col]]), .data[[col_mean_site]]) %>%
       filter(.data[[prob_col]] > 0.5) %>%
       head(n_sites) %>%
       .$site_number
   } else {
     sites_ordered <- df_eval %>%
-      arrange(.data$study_id, desc(.data[[prob_col]]), .data$mean_ae_site_med75) %>%
+      arrange(.data$study_id, desc(.data[[prob_col]]), .data[[col_mean_site]]) %>%
       head(6) %>%
       .$site_number
   }
 
   # mean AE development ------------------------------------------------------
 
-  df_mean_ae_dev_site <- df_visit %>%
-    group_by(.data$study_id, .data$site_number, .data$patnum) %>%
-    mutate(max_visit_per_pat = max(.data$visit)) %>%
-    ungroup() %>%
+  df_mean_ae_dev_site <- df_visit_med75 %>%
     left_join(df_site, by = c("study_id", "site_number")) %>%
-    filter(.data$visit <= .data$visit_med75, .data$max_visit_per_pat >= .data$visit_med75) %>%
     group_by(.data$study_id,
              .data$site_number,
-             .data$visit_med75,
+             .data[[col_visit]],
              .data$n_pat,
              .data$visit,
              .data$alert_level_site) %>%
@@ -533,17 +570,17 @@ plot_study <- function(df_visit,
     ungroup()
 
   df_mean_ae_dev_study <- df_visit %>%
-    group_by(.data$study_id,
-             .data$site_number,
-             .data$patnum) %>%
-    mutate(max_visit_per_pat = max(.data$visit)) %>%
+    left_join(
+      df_site,
+      by = c("study_id", "site_number")
+    ) %>%
     group_by(.data$study_id) %>%
     mutate(
-      visit_med75 = ceiling(median(.data$max_visit_per_pat) * 0.75),
+      visit_max = median(.data[[col_visit]]),
       n_pat = n_distinct(.data$patnum)
     ) %>%
+    filter(.data$visit <= .data$visit_max) %>%
     ungroup() %>%
-    filter(.data$visit <= .data$visit_med75, .data$max_visit_per_pat >= .data$visit_med75) %>%
     group_by(.data$study_id) %>%
     mutate(n_pat_with_med75 = n_distinct(.data$patnum)) %>%
     group_by(.data$study_id,
@@ -581,8 +618,11 @@ plot_study <- function(df_visit,
     )
 
   df_mean_ae_dev_site <- df_mean_ae_dev_site %>%
-    select(- "visit_med75") %>%
-    left_join(df_eval, by = c("study_id", "site_number"))
+    left_join(
+      df_eval %>%
+        select(- any_of(col_visit)),
+      by = c("study_id", "site_number")
+    )
 
   # we have to split site ae dev up because alert sites get plotted
   # over if there are many sites
@@ -600,8 +640,12 @@ plot_study <- function(df_visit,
            "alert_level_study")) %>%
     distinct()
 
+  if (! "n_pat_with_med75" %in% colnames(df_site)) {
+    df_site$n_pat_with_med75 <- df_site$n_pat
+  }
+
   df_label <- df_mean_ae_dev_site %>%
-    filter(.data$visit == .data$visit_med75, .data$site_number %in% sites_ordered) %>%
+    filter(.data$visit == .data[[col_visit]], .data$site_number %in% sites_ordered) %>%
     select(c("study_id",
            "site_number",
            "visit",
@@ -614,9 +658,9 @@ plot_study <- function(df_visit,
            "n_pat",
            "n_pat_with_med75")) %>%
     left_join(
-      select(df_eval, - c(
+      select(df_eval, - any_of(c(
               "n_pat",
-              "n_pat_with_med75"))
+              "n_pat_with_med75")))
       , by = c("study_id", "site_number")
     ) %>%
     left_join(df_alert, by = c("study_id", "site_number")) %>%
@@ -680,12 +724,6 @@ plot_study <- function(df_visit,
       data = df_label,
       color = "grey"
     ) +
-    annotate("text",
-      x = 0.2 * max_visit_study,
-      y = 0.9 * max_ae_study,
-      label = paste0(n_pat_with_med75, "/", n_pat),
-      na.rm = TRUE
-    ) +
     annotate("label",
       x = 0.5 * max_visit_study,
       y = 0.9 * max_ae_study,
@@ -869,6 +907,9 @@ plot_visit_med75 <- function(df_visit,
     ungroup()
 
   df_label <- df_plot %>%
+    mutate(
+      n_pat_with_med75 = ifelse(is.na(.data$n_pat_with_med75), .data$n_pat, .data)
+    ) %>%
     select(c(
       "study_id",
       "site_number",
diff --git a/R/simulate_test_data.R b/R/simulate_test_data.R
index 8006828..db22c20 100644
--- a/R/simulate_test_data.R
+++ b/R/simulate_test_data.R
@@ -303,7 +303,8 @@ sim_ur_scenarios <- function(df_portf,
                           parallel = FALSE,
                           progress = TRUE,
                           site_aggr_args = list(),
-                          eval_sites_args = list()) {
+                          eval_sites_args = list(),
+                          check = TRUE) {
   # checks
 
   stopifnot("all site_aggr_args list items must be named" = all(names(site_aggr_args) != ""))
@@ -312,19 +313,25 @@ sim_ur_scenarios <- function(df_portf,
   stopifnot(length(extra_ur_sites) == 1)
   extra_ur_sites <- as.integer(extra_ur_sites)
 
-
   if (progress) {
     message("aggregating site level")
   }
 
-  df_visit <- check_df_visit(df_portf)
+  if (check) {
+    df_visit <- check_df_visit(df_portf)
+  } else {
+    df_visit <- df_portf
+  }
 
+  # get visit_med75 and number elibible patients
   df_site <- do.call(site_aggr, c(list(df_visit = df_visit), site_aggr_args))
 
   if (progress) {
     message("prepping for simulation")
   }
 
+  # for every patient at site add AE count at visit_med75 to site integer vector
+  # same for study
   df_sim_prep <- prep_for_sim(df_site = df_site, df_visit = df_visit)
 
   if (progress) {
@@ -343,6 +350,11 @@ sim_ur_scenarios <- function(df_portf,
               n_sites = n_distinct(.data$site_number),
               .groups = "drop")
 
+  # free up RAM
+  remove(df_portf)
+  remove(df_visit)
+  gc()
+
   ur_rate <- ur_rate[ur_rate > 0]
 
   df_grid_gr0 <- df_site %>%
@@ -373,11 +385,12 @@ sim_ur_scenarios <- function(df_portf,
 
   df_grid <- bind_rows(df_grid_0, df_grid_gr0)
 
+  # we join the parameter grid with site and study ae count vectors
   df_scen_prep <- df_sim_prep %>%
     left_join(df_grid, by = c("study_id", "site_number"))
 
   # generating scenarios
-
+  # manipulate site and study ae count vectors according to scenario parameter
   df_scen <- df_scen_prep %>%
     mutate(
       scenarios = purrr::pmap(
@@ -410,6 +423,8 @@ sim_ur_scenarios <- function(df_portf,
     ungroup() %>%
     select(- c("study_id_gr", "site_number_gr"))
 
+
+  # generate prob_low for every scenario parameter
   with_progress_cnd(
     ls_df_sim_sites <- purrr_bar(
       df_sim_sites$data,
@@ -432,17 +447,78 @@ sim_ur_scenarios <- function(df_portf,
     message("evaluating stats")
   }
 
+  # every row is one scenario in order to apply multiplicity correction
+  # we need to join each site-level scenario back into the study context
+  # with regular under-reporting score
+
   df_sim_sites <- bind_rows(ls_df_sim_sites)
 
-  df_eval <- do.call(eval_sites, c(list(df_sim_sites = df_sim_sites), eval_sites_args)) %>%
+  df_sim_sites_ur0 <- df_sim_sites %>% #nolint
+    filter(.data$extra_ur_sites == 0,
+           .data$frac_pat_with_ur == 0,
+           .data$ur_rate == 0) %>%
+    select(- c("extra_ur_sites", "frac_pat_with_ur", "ur_rate"))
+
+  df_eval_prep <- df_sim_sites %>%
+    mutate(
+      study_id_gr = .data$study_id,
+      site_number_gr = .data$site_number
+    ) %>%
+    group_by(
+      .data$study_id_gr,
+      .data$site_number_gr,
+      .data$extra_ur_sites,
+      .data$frac_pat_with_ur,
+      .data$ur_rate
+    ) %>%
+    nest() %>%
+    ungroup() %>%
+    mutate(
+      # add site scores to study score w/o same site
+      eval = map2(
+        .data$study_id_gr, .data$site_number_gr,
+        ~ filter(df_sim_sites_ur0, study_id == .x, site_number != .y)
+      ),
+      eval = map2(
+        .data$data, .data$eval,
+        bind_rows
+      )
+    ) %>%
+    select(- "data")
+
+  # apply eval sites for every scenario
+  df_eval <- df_eval_prep %>%
+    mutate(
+      eval = map(
+        .data$eval,
+        ~ do.call(eval_sites, c(list(df_sim_sites = .), eval_sites_args)),
+        .progess = progress
+      ),
+      # filter back to site level
+      eval = map2(.data$eval, .data$site_number_gr, ~ filter(.x, site_number == .y))
+    ) %>%
+    select(- c("study_id_gr", "site_number_gr")) %>%
+    unnest(eval) %>%
     arrange(
       .data$study_id,
       .data$site_number,
       .data$extra_ur_sites,
       .data$frac_pat_with_ur,
       .data$ur_rate
+    ) %>%
+    select(
+      c(
+        "study_id",
+        "site_number",
+        "extra_ur_sites",
+        "frac_pat_with_ur",
+        "ur_rate"
+      ),
+      everything()
     )
 
+  stopifnot(nrow(df_eval) == nrow(df_grid))
+
   return(df_eval)
 
 }
@@ -862,3 +938,62 @@ get_portf_perf <- function(df_scen, stat = "prob_low_prob_ur", fpr = c(0.001, 0.
   bind_rows(df_prep_0, df_prep_gr0) %>%
     arrange(.data$fpr, .data$ur_rate)
 }
+#' simulate under-reporting
+#'@param df_visit, dataframe
+#'@param study_id, character
+#'@param site_number, character
+#'@param ur_rate, double
+#'@description we remove a fraction of AEs from a specific site
+#'@details we determine the absolute number of AEs per patient for removal.
+#'Then them remove them at the first visit.
+#'We intentionally allow fractions
+#'@export
+#'@examples
+#' df_visit <- sim_test_data_study(n_pat = 100, n_sites = 10,
+#'                                  frac_site_with_ur = 0.4, ur_rate = 0.6)
+#'
+#' df_visit$study_id <- "A"
+#'
+#' df_ur <- sim_ur(df_visit, "A", site_number = "S0001", ur_rate = 0.35)
+#'
+#' # Example cumulated AE for first patient with 35% under-reporting
+#' df_ur[df_ur$site_number == "S0001" & df_ur$patnum == "P000001",]$n_ae
+#'
+#' # Example cumulated AE for first patient with no under-reporting
+#' df_visit[df_visit$site_number == "S0001" & df_visit$patnum == "P000001",]$n_ae
+#'
+sim_ur <- function(df_visit, study_id, site_number, ur_rate) {
+
+  df_visit <- df_visit %>%
+    mutate(n_ae = as.numeric(.data$n_ae))
+
+  df_visit_study <- df_visit %>%
+    filter(study_id == .env$study_id, site_number != .env$site_number)
+
+  df_visit_site <- df_visit %>%
+    filter(study_id == .env$study_id, site_number == .env$site_number)
+
+  # determine total AE per patient
+  # convert cumulative counts to single increments
+  # first value needs to be AE start value
+  # from start value substract ae count * ur_rate
+  # convert back to cumulative count
+  df_visit_site_rem <- df_visit_site %>%
+    mutate(
+      n_ae_pat = max(ifelse(visit == max(visit), n_ae, 0)),
+      n_ae_rem = .data$n_ae - lag(.data$n_ae),
+      n_ae_rem = ifelse(
+        .data$visit == 1,
+        .data$n_ae - (.data$n_ae_pat * .env$ur_rate),
+        .data$n_ae_rem),
+      n_ae = cumsum(.data$n_ae_rem),
+      .by = "patnum"
+    ) %>%
+    mutate(
+      n_ae = ifelse(n_ae < 0, 0, n_ae)
+    ) %>%
+    select(- "n_ae_rem", - "n_ae_pat")
+
+  bind_rows(df_visit_study, df_visit_site_rem)
+
+}
diff --git a/README.Rmd b/README.Rmd
index acf0942..ac7736f 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -54,21 +54,16 @@ devtools::install_github("openpharma/simaerep")
 
 [![IMPALA logo](https://impala-consortium.org/wp-content/uploads/IMPALA-logo-x2.png)](https://impala-consortium.org/)
 
-## Publication
+## Publications
 
-Koneswarakantha, B., Barmaz, Y., Ménard, T. et al. Follow-up on the Use of Advanced Analytics for Clinical Quality Assurance: Bootstrap Resampling to Enhance Detection of Adverse Event Under-Reporting. Drug Saf (2020). [https://doi.org/10.1007/s40264-020-01011-5](https://doi.org/10.1007/s40264-020-01011-5)
+Koneswarakantha, B., Adyanthaya, R., Emerson, J. et al. An Open-Source R Package for Detection of Adverse Events Under-Reporting in Clinical Trials: Implementation and Validation by the IMPALA (Inter coMPany quALity Analytics) Consortium. Ther Innov Regul Sci 58, 591–599 (2024). [https://doi.org/10.1007/s43441-024-00631-8](https://doi.org/10.1007/s43441-024-00631-8)
 
-## Vignettes/ Articles/ Tutorials
+Koneswarakantha, B., Barmaz, Y., Ménard, T. et al. Follow-up on the Use of Advanced Analytics for Clinical Quality Assurance: Bootstrap Resampling to Enhance Detection of Adverse Event Under-Reporting. Drug Saf (2020). [https://doi.org/10.1007/s40264-020-01011-5](https://doi.org/10.1007/s40264-020-01011-5)
 
-[video presentation 15 min](https://vimeo.com/776275791?embedded=true&source=vimeo_logo&owner=189858368)
+## Tutorials
 
-- [Introduction](https://openpharma.github.io/simaerep/articles/intro.html)
-- [Usability Limits](https://openpharma.github.io/simaerep/articles/usability_limits.html)
-- [Check Poisson Test Applicability](https://openpharma.github.io/simaerep/articles/check_poisson.html)
-- [SAS Files](https://openpharma.github.io/simaerep/articles/sas_files.html)
-- [Adjusted Evaluation Point visit_med75](https://openpharma.github.io/simaerep/articles/visit_med75.html)
-- [Aggregate AEs by Days or Visit?](https://openpharma.github.io/simaerep/articles/visits_or_days.html)
-- [Portfolio Performance](https://openpharma.github.io/simaerep/articles/portfolio_perf.html)
+- [video presentation 15 min](https://vimeo.com/776275791?embedded=true&source=vimeo_logo&owner=189858368)
+- [Documentation with Vignettes](https://openpharma.github.io/simaerep)
 
 ## Validation Report
 
diff --git a/README.md b/README.md
index d3a2eed..b419a18 100644
--- a/README.md
+++ b/README.md
@@ -59,31 +59,24 @@ testimonials](https://impala-consortium.org/clinical-safety-reporting-work-produ
 [![IMPALA
 logo](https://impala-consortium.org/wp-content/uploads/IMPALA-logo-x2.png)](https://impala-consortium.org/)
 
-## Publication
+## Publications
+
+Koneswarakantha, B., Adyanthaya, R., Emerson, J. et al. An Open-Source R
+Package for Detection of Adverse Events Under-Reporting in Clinical
+Trials: Implementation and Validation by the IMPALA (Inter coMPany
+quALity Analytics) Consortium. Ther Innov Regul Sci 58, 591–599 (2024).
+<https://doi.org/10.1007/s43441-024-00631-8>
 
 Koneswarakantha, B., Barmaz, Y., Ménard, T. et al. Follow-up on the Use
 of Advanced Analytics for Clinical Quality Assurance: Bootstrap
 Resampling to Enhance Detection of Adverse Event Under-Reporting. Drug
 Saf (2020). <https://doi.org/10.1007/s40264-020-01011-5>
 
-## Vignettes/ Articles/ Tutorials
-
-[video presentation 15
-min](https://vimeo.com/776275791?embedded=true&source=vimeo_logo&owner=189858368)
-
-- [Introduction](https://openpharma.github.io/simaerep/articles/intro.html)
-- [Usability
-  Limits](https://openpharma.github.io/simaerep/articles/usability_limits.html)
-- [Check Poisson Test
-  Applicability](https://openpharma.github.io/simaerep/articles/check_poisson.html)
-- [SAS
-  Files](https://openpharma.github.io/simaerep/articles/sas_files.html)
-- [Adjusted Evaluation Point
-  visit_med75](https://openpharma.github.io/simaerep/articles/visit_med75.html)
-- [Aggregate AEs by Days or
-  Visit?](https://openpharma.github.io/simaerep/articles/visits_or_days.html)
-- [Portfolio
-  Performance](https://openpharma.github.io/simaerep/articles/portfolio_perf.html)
+## Tutorials
+
+- [video presentation 15
+  min](https://vimeo.com/776275791?embedded=true&source=vimeo_logo&owner=189858368)
+- [Documentation with Vignettes](https://openpharma.github.io/simaerep)
 
 ## Validation Report
 
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 6fd5d48..2ee10f3 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -20,6 +20,7 @@ navbar:
       href: reference/index.html
 
 template:
+  bootstrap: 5
   params:
     ganalytics: UA-123997499-2
 
@@ -30,14 +31,16 @@ articles:
   navbar: ~
   contents:
   - intro
+  - inframe
+  - over
+  - performance
+  - funnel_perf
   - sas_files
   - portfolio_perf
   - visit_med75
   - usability_limits
   - check_poisson
   - visits_or_days
-  - gsm_perf
-  - over
 
 reference:
 - title: S3 Interface
@@ -50,7 +53,9 @@ reference:
   contents:
   - site_aggr
   - sim_sites
+  - sim_inframe
   - eval_sites
+  - prune_to_visit_med75_inframe
   - plot_study
   - check_df_visit
 - title: Simulate Data
@@ -64,6 +69,7 @@ reference:
   contents:
   - sim_studies
   - sim_ur_scenarios
+  - sim_ur
   - get_portf_perf
 - title: Helper Functions
   desc: These functions are intended to be called by other functions.
@@ -87,6 +93,7 @@ reference:
   - orivisit
   - is_simaerep
   - is_orivisit
+  - max_rank
 - title: Deprecated
   contents:
   - eval_sites_deprecated
diff --git a/docs/404.html b/docs/404.html
index c942fa5..e474e67 100644
--- a/docs/404.html
+++ b/docs/404.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Page not found (404) • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="https://openpharma.github.io/simaerep/favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="https://openpharma.github.io/simaerep/favicon-32x32.png">
@@ -12,17 +12,13 @@
 <link rel="apple-touch-icon" type="image/png" sizes="120x120" href="https://openpharma.github.io/simaerep/apple-touch-icon-120x120.png">
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="https://openpharma.github.io/simaerep/apple-touch-icon-76x76.png">
 <link rel="apple-touch-icon" type="image/png" sizes="60x60" href="https://openpharma.github.io/simaerep/apple-touch-icon-60x60.png">
-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="https://openpharma.github.io/simaerep/bootstrap-toc.css">
-<script src="https://openpharma.github.io/simaerep/bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="https://openpharma.github.io/simaerep/pkgdown.css" rel="stylesheet">
-<script src="https://openpharma.github.io/simaerep/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<script src="https://openpharma.github.io/simaerep/deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="https://openpharma.github.io/simaerep/deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="https://openpharma.github.io/simaerep/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://openpharma.github.io/simaerep/deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="https://openpharma.github.io/simaerep/deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="https://openpharma.github.io/simaerep/deps/headroom-0.11.0/headroom.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/search-1.0.0/fuse.min.js"></script><script src="https://openpharma.github.io/simaerep/deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="https://openpharma.github.io/simaerep/pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script src="https://openpharma.github.io/simaerep/NA">
+<!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script src="https://openpharma.github.io/simaerep/NA">
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
@@ -30,132 +26,78 @@
   gtag('config', 'UA-123997499-2');
 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
-    
-
-    <div class="container template-title-body">
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-    <div class="navbar-header">
-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="https://openpharma.github.io/simaerep/index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
-
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-<li>
-  <a href="https://openpharma.github.io/simaerep/index.html">
-    <span class="fas fa-home fa-lg"></span>
-     
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-  <a href="https://openpharma.github.io/simaerep/articles/intro.html">Get Started</a>
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-  <a href="https://openpharma.github.io/simaerep/#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
-    Articles
-     
-    <span class="caret"></span>
-  </a>
-  <ul class="dropdown-menu" role="menu">
-<li>
-      <a href="https://openpharma.github.io/simaerep/articles/intro.html">Introduction</a>
-    </li>
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-      <a href="https://openpharma.github.io/simaerep/articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="https://openpharma.github.io/simaerep/articles/over.html">Over-Reporting Probability</a>
-    </li>
+<body>
+    <a href="https://openpharma.github.io/simaerep/#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="https://openpharma.github.io/simaerep/index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto">
+<li class="nav-item"><a class="nav-link" href="https://openpharma.github.io/simaerep/index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="https://openpharma.github.io/simaerep/articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="https://openpharma.github.io/simaerep/reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="https://openpharma.github.io/simaerep/articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="https://openpharma.github.io/simaerep/news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="https://openpharma.github.io/simaerep/news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
-<!--/.nav-collapse -->
-  </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
 
-      
 
-      </header><div class="row">
-  <div class="contents col-md-9">
-    <div class="page-header">
-      <h1>Page not found (404)</h1>
+  </div>
+</nav><div class="container template-title-body">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="https://openpharma.github.io/simaerep/logo.png" class="logo" alt=""><h1>Page not found (404)</h1>
+
     </div>
 
 Content not found. Please use links in the navbar.
 
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-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav>
-</div>
-
+  </main>
 </div>
 
 
-
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index de9f7cd..5040402 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -1,128 +1,76 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>License • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="bootstrap-toc.css"><script src="bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="pkgdown.css" rel="stylesheet"><script src="pkgdown.js"></script><meta property="og:title" content="License"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
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-  <a href="reference/index.html">Reference</a>
-</li>
-<li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
-    Articles
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-  </a>
-  <ul class="dropdown-menu" role="menu"><li>
-      <a href="articles/intro.html">Introduction</a>
-    </li>
-    <li>
-      <a href="articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
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-      <a href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
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-      <a href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="articles/over.html">Over-Reporting Probability</a>
-    </li>
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="contents col-md-9">
-    <div class="page-header">
-      <h1>License</h1>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-title-body">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="logo.png" class="logo" alt=""><h1>License</h1>
+
     </div>
 
 <pre>YEAR: 2020
 COPYRIGHT HOLDER: F. Hoffmann-La Roche Ltd and simaerep authors
 </pre>
 
-  </div>
+  </main></div>
 
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
 
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-
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-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
-</div>
+    </footer></div>
 
-      </footer></div>
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/LICENSE.html b/docs/LICENSE.html
index 8bbd87b..27ddb70 100644
--- a/docs/LICENSE.html
+++ b/docs/LICENSE.html
@@ -1,98 +1,54 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>MIT License • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="bootstrap-toc.css"><script src="bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="pkgdown.css" rel="stylesheet"><script src="pkgdown.js"></script><meta property="og:title" content="MIT License"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>MIT License • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="apple-touch-icon-60x60.png"><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="MIT License"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    
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-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
-
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav"><li>
-  <a href="index.html">
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-      <a href="articles/intro.html">Introduction</a>
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-      <a href="articles/sas_files.html">SAS Files as a Data Source</a>
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-      <a href="articles/portfolio_perf.html">simaerep Portfolio Performance</a>
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-      <a href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
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-      <a href="articles/check_poisson.html">Check Poisson Test Applicability</a>
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-      <a href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="articles/over.html">Over-Reporting Probability</a>
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+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="contents col-md-9">
-    <div class="page-header">
-      <h1>MIT License</h1>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-title-body">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="logo.png" class="logo" alt=""><h1>MIT License</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/LICENSE.md" class="external-link"><code>LICENSE.md</code></a></small>
     </div>
 
 <div id="mit-license" class="section level1">
@@ -103,30 +59,22 @@ <h1>MIT License</h1>
 <p>THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</p>
 </div>
 
-  </div>
+  </main></div>
 
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
 
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-
-
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
-</div>
+    </footer></div>
 
-      </footer></div>
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/articles/check_poisson.html b/docs/articles/check_poisson.html
index 0c5864e..d7078d5 100644
--- a/docs/articles/check_poisson.html
+++ b/docs/articles/check_poisson.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Check Poisson Test Applicability • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -12,18 +12,12 @@
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css">
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-      <h1 data-toc-skip>Check Poisson Test Applicability</h1>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Check Poisson Test Applicability</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/check_poisson.Rmd" class="external-link"><code>vignettes/check_poisson.Rmd</code></a></small>
-      <div class="hidden name"><code>check_poisson.Rmd</code></div>
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+      <div class="d-none name"><code>check_poisson.Rmd</code></div>
     </div>
 
     
@@ -204,7 +156,7 @@ <h3 id="test-data-and-standard-processing">Test Data and Standard Processing<a c
 <span><span class="va">df_sim_sites</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_sites.html">sim_sites</a></span><span class="op">(</span><span class="va">df_site</span>, <span class="va">df_visit</span><span class="op">)</span></span>
 <span></span>
 <span><span class="va">df_visit</span></span></code></pre></div>
-<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 58,314 × 9</span></span></span>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 58,505 × 9</span></span></span>
 <span><span class="co">##    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 1</span> P000001 S0001       TRUE              20            4              0.25     1</span></span>
@@ -217,39 +169,39 @@ <h3 id="test-data-and-standard-processing">Test Data and Standard Processing<a c
 <span><span class="co">## <span style="color: #BCBCBC;"> 8</span> P000001 S0001       TRUE              20            4              0.25     8</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 9</span> P000001 S0001       TRUE              20            4              0.25     9</span></span>
 <span><span class="co">## <span style="color: #BCBCBC;">10</span> P000001 S0001       TRUE              20            4              0.25    10</span></span>
-<span><span class="co">## <span style="color: #949494;"># ℹ 58,304 more rows</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 58,495 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 2 more variables: n_ae &lt;int&gt;, study_id &lt;chr&gt;</span></span></span></code></pre>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">df_site</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 300 × 6</span></span></span>
 <span><span class="co">##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                7          15              0.429</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                9          16              0.222</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          14              0.6  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10               10          17              0.5  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10               10          16              0.7  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10               10          14              0.4  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10                9          16              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10                8          18              0.625</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                9          15              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                8          17              0.375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10                9          18              0.222</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10                9          16              0.556</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10                9          17              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          16              0.333</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10               10          14              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10               10          17              0.2  </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 290 more rows</span></span></span></code></pre>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="va">df_sim_sites</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 300 × 10</span></span></span>
 <span><span class="co">##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                7          15              0.429</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                9          16              0.222</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          14              0.6  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10               10          17              0.5  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10               10          16              0.7  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10               10          14              0.4  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10                9          16              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10                8          18              0.625</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                9          15              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                8          17              0.375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10                9          18              0.222</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10                9          16              0.556</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10                9          17              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          16              0.333</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10               10          14              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10               10          17              0.2  </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 290 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 4 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   pval &lt;dbl&gt;, prob_low &lt;dbl&gt;</span></span></span></code></pre>
@@ -275,17 +227,17 @@ <h3 id="simulate-studies">Simulate Studies<a class="anchor" aria-label="anchor"
 <span><span class="va">df_sim_studies</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 30,000 × 8</span></span></span>
 <span><span class="co">##        r study_id     site_number visit_med75 n_pat_with_med75 n_pat_study  pval</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span>     1 ae_per_visi… S0001                15                9         893 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span>     1 ae_per_visi… S0002                15                7         895 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span>     1 ae_per_visi… S0003                16                9         840 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span>     1 ae_per_visi… S0004                14               10         930 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span>     1 ae_per_visi… S0005                17               10         751 0.731</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span>     1 ae_per_visi… S0006                16               10         839 0.372</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span>     1 ae_per_visi… S0007                14               10         930 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span>     1 ae_per_visi… S0008                15                9         893 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span>     1 ae_per_visi… S0009                16                9         840 1    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span>     1 ae_per_visi… S0010                18                8         668 1    </span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span>     1 ae_per_visi… S0001                15               10         905 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span>     1 ae_per_visi… S0002                15                9         906 0.673</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span>     1 ae_per_visi… S0003                17                8         760 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span>     1 ae_per_visi… S0004                15               10         905 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span>     1 ae_per_visi… S0005                18                9         678 0.850</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span>     1 ae_per_visi… S0006                16                9         828 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span>     1 ae_per_visi… S0007                17                9         759 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span>     1 ae_per_visi… S0008                16                9         828 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span>     1 ae_per_visi… S0009                14               10         942 1    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span>     1 ae_per_visi… S0010                17               10         758 0.714</span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 29,990 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 1 more variable: prob_low &lt;dbl&gt;</span></span></span></code></pre>
 </div>
@@ -306,17 +258,17 @@ <h3 id="check-p-value-probabilities">Check p-value Probabilities<a class="anchor
 <span><span class="va">df_check_pval</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 300 × 11</span></span></span>
 <span><span class="co">##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                7          15              0.429</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                9          16              0.222</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          14              0.6  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10               10          17              0.5  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10               10          16              0.7  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10               10          14              0.4  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10                9          16              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10                8          18              0.625</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                9          15              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                8          17              0.375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10                9          18              0.222</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10                9          16              0.556</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10                9          17              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          16              0.333</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10               10          14              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10               10          17              0.2  </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 290 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 5 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   pval &lt;dbl&gt;, prob_low &lt;dbl&gt;, pval_ecd &lt;dbl&gt;</span></span></span></code></pre>
@@ -345,17 +297,17 @@ <h3 id="perform-same-check-on-bootstrapped-probabilities">Perform Same Check on
 <span><span class="va">df_check_prob</span></span></code></pre></div>
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 300 × 11</span></span></span>
 <span><span class="co">##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span></span>
-<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                7          15              0.429</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                9          16              0.222</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          14              0.6  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10               10          17              0.5  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10               10          16              0.7  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10               10          14              0.4  </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          15              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10                9          16              0.444</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10                8          18              0.625</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> ae_per_vis… S0001          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> ae_per_vis… S0002          10                9          15              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> ae_per_vis… S0003          10                8          17              0.375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> ae_per_vis… S0004          10               10          15              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> ae_per_vis… S0005          10                9          18              0.222</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> ae_per_vis… S0006          10                9          16              0.556</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> ae_per_vis… S0007          10                9          17              0.667</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> ae_per_vis… S0008          10                9          16              0.333</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> ae_per_vis… S0009          10               10          14              0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> ae_per_vis… S0010          10               10          17              0.2  </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 290 more rows</span></span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 5 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span></span>
 <span><span class="co">## <span style="color: #949494;">#   pval &lt;dbl&gt;, prob_low &lt;dbl&gt;, prob_low_ecd &lt;dbl&gt;</span></span></span></code></pre>
@@ -387,35 +339,26 @@ <h3 id="conclusion">Conclusion<a class="anchor" aria-label="anchor" href="#concl
 <code class="sourceCode R"><span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">sequential</span><span class="op">)</span></span></code></pre></div>
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diff --git a/docs/articles/check_poisson_files/figure-html/unnamed-chunk-4-1.png b/docs/articles/check_poisson_files/figure-html/unnamed-chunk-4-1.png
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+<div class="section level2">
+<h2 id="load">Load<a class="anchor" aria-label="anchor" href="#load"></a>
+</h2>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyverse.tidyverse.org" class="external-link">tidyverse</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://yihui.org/knitr/" class="external-link">knitr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/DavisVaughan/furrr" class="external-link">furrr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://future.futureverse.org" class="external-link">future</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://openpharma.github.io/simaerep/">simaerep</a></span><span class="op">)</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">multisession</span>, workers <span class="op">=</span> <span class="fl">6</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="install-gsm">Install {gsm}<a class="anchor" aria-label="anchor" href="#install-gsm"></a>
+</h2>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu">devtools</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"Gilead-BioStats/gsm@v1.9.2"</span>, ref <span class="op">=</span> <span class="st">"main"</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
+</h2>
+<p>The <a href="https://github.com/Gilead-BioStats/gsm/" class="external-link">{gsm}</a> R
+package provides a standardized Risk Based Quality Monitoring (RBQM)
+framework for clinical trials that pairs a flexible data pipeline with
+robust reports. It also uses Funnel Plots to flag outliers which provide
+broader tolerance limits for sites with low exposure and narrower limits
+for sites with higher exposure. This method is different to the event
+rate based limits we have used in previous heuristics to measure
+{simaerep} performance. Funnel plots are discussed in greater detail by
+<a href="https://doi.org/10.1177/2168479017738981" class="external-link">Zink et
+al. 2018</a></p>
+<p>One of the draw backs of using funnel plots for flagging is that they
+assume that the AE rate remains constant over the course of the
+study.</p>
+</div>
+<div class="section level2">
+<h2 id="prepare-data">Prepare Data<a class="anchor" aria-label="anchor" href="#prepare-data"></a>
+</h2>
+<div class="section level3">
+<h3 id="load-portfolio-configurations">Load Portfolio Configurations<a class="anchor" aria-label="anchor" href="#load-portfolio-configurations"></a>
+</h3>
+<p>We have prepared a snapshot of the AE reporting configuration of our
+current portfolio. For each study we have also measured a visit-specific
+AE rate which allows us to generate a synthetic portfolio with flexible
+AE rates across a study.</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_config</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"ae_conf_20240220.csv"</span><span class="op">)</span></span>
+<span><span class="va">df_ae_rates</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"ae_rates_20240220.csv"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_config</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<table style="width:100%;" class="table">
+<colgroup>
+<col width="12%">
+<col width="24%">
+<col width="16%">
+<col width="17%">
+<col width="20%">
+<col width="8%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">study_id</th>
+<th align="right">ae_per_visit_mean</th>
+<th align="left">site_number</th>
+<th align="right">max_visit_sd</th>
+<th align="right">max_visit_mean</th>
+<th align="right">n_pat</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.5355339</td>
+<td align="right">16.50000</td>
+<td align="right">2</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4747</td>
+<td align="right">0.7071068</td>
+<td align="right">27.50000</td>
+<td align="right">2</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4750</td>
+<td align="right">0.5000000</td>
+<td align="right">19.25000</td>
+<td align="right">4</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4815</td>
+<td align="right">8.3765546</td>
+<td align="right">22.16667</td>
+<td align="right">6</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4816</td>
+<td align="right">0.0000000</td>
+<td align="right">27.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4817</td>
+<td align="right">0.0000000</td>
+<td align="right">31.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4818</td>
+<td align="right">0.0000000</td>
+<td align="right">30.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4891</td>
+<td align="right">2.3804761</td>
+<td align="right">22.00000</td>
+<td align="right">7</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4893</td>
+<td align="right">0.0000000</td>
+<td align="right">20.00000</td>
+<td align="right">2</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4932</td>
+<td align="right">1.0954451</td>
+<td align="right">26.80000</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4941</td>
+<td align="right">1.7320508</td>
+<td align="right">27.00000</td>
+<td align="right">3</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4942</td>
+<td align="right">1.4142136</td>
+<td align="right">25.00000</td>
+<td align="right">2</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4943</td>
+<td align="right">0.0000000</td>
+<td align="right">25.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4966</td>
+<td align="right">0.0000000</td>
+<td align="right">18.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4967</td>
+<td align="right">0.8164966</td>
+<td align="right">18.00000</td>
+<td align="right">4</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4968</td>
+<td align="right">0.0000000</td>
+<td align="right">24.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4969</td>
+<td align="right">1.5275252</td>
+<td align="right">21.33333</td>
+<td align="right">3</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4984</td>
+<td align="right">1.7078251</td>
+<td align="right">30.75000</td>
+<td align="right">4</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4985</td>
+<td align="right">8.9087972</td>
+<td align="right">21.16667</td>
+<td align="right">6</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4986</td>
+<td align="right">0.5773503</td>
+<td align="right">20.33333</td>
+<td align="right">3</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4988</td>
+<td align="right">1.4142136</td>
+<td align="right">19.00000</td>
+<td align="right">2</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">5079</td>
+<td align="right">2.1602469</td>
+<td align="right">23.00000</td>
+<td align="right">4</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">5080</td>
+<td align="right">0.0000000</td>
+<td align="right">23.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">5081</td>
+<td align="right">0.0000000</td>
+<td align="right">23.00000</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">5082</td>
+<td align="right">1.4142136</td>
+<td align="right">22.00000</td>
+<td align="right">2</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_ae_rates</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<table class="table">
+<thead><tr class="header">
+<th align="left">study_id</th>
+<th align="right">cum_visit</th>
+<th align="right">ae_rate</th>
+<th align="right">n_pat</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.017699</td>
+<td align="right">113</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">2</td>
+<td align="right">0.088496</td>
+<td align="right">113</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.230088</td>
+<td align="right">113</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">0.223214</td>
+<td align="right">112</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">5</td>
+<td align="right">0.187500</td>
+<td align="right">112</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">6</td>
+<td align="right">0.196429</td>
+<td align="right">112</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">7</td>
+<td align="right">0.396396</td>
+<td align="right">111</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">8</td>
+<td align="right">0.207207</td>
+<td align="right">111</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">9</td>
+<td align="right">0.216216</td>
+<td align="right">111</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">10</td>
+<td align="right">0.315315</td>
+<td align="right">111</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">11</td>
+<td align="right">0.263636</td>
+<td align="right">110</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">12</td>
+<td align="right">0.318182</td>
+<td align="right">110</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">13</td>
+<td align="right">0.345455</td>
+<td align="right">110</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">14</td>
+<td align="right">0.379630</td>
+<td align="right">108</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">15</td>
+<td align="right">0.401869</td>
+<td align="right">107</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">16</td>
+<td align="right">0.485981</td>
+<td align="right">107</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">17</td>
+<td align="right">0.383178</td>
+<td align="right">107</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">18</td>
+<td align="right">0.396226</td>
+<td align="right">106</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">19</td>
+<td align="right">0.370000</td>
+<td align="right">100</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">20</td>
+<td align="right">0.439560</td>
+<td align="right">91</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">21</td>
+<td align="right">0.369863</td>
+<td align="right">73</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">22</td>
+<td align="right">0.370968</td>
+<td align="right">62</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">23</td>
+<td align="right">0.345455</td>
+<td align="right">55</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">24</td>
+<td align="right">0.446809</td>
+<td align="right">47</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">25</td>
+<td align="right">0.292683</td>
+<td align="right">41</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level3">
+<h3 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anchor" href="#simulate-portfolio"></a>
+</h3>
+<p>We generate two synthetic portfolios with no AE under-reporting
+sites. One portfolio with a fixed AE rate for all visits and another one
+with a flexible visit-specific AE rate.</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_portf_fix</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_test_data_portfolio.html">sim_test_data_portfolio</a></span><span class="op">(</span><span class="va">df_config</span>, parallel <span class="op">=</span> <span class="cn">TRUE</span>, progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_portf_fix</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<table class="table">
+<colgroup>
+<col width="10%">
+<col width="21%">
+<col width="14%">
+<col width="15%">
+<col width="17%">
+<col width="8%">
+<col width="7%">
+<col width="5%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">study_id</th>
+<th align="right">ae_per_visit_mean</th>
+<th align="left">site_number</th>
+<th align="right">max_visit_sd</th>
+<th align="right">max_visit_mean</th>
+<th align="left">patnum</th>
+<th align="right">visit</th>
+<th align="right">n_ae</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">2</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">2</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">3</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">5</td>
+<td align="right">4</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">6</td>
+<td align="right">4</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">7</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">8</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">9</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">10</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">11</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">12</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">13</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">14</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">15</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0001</td>
+<td align="right">16</td>
+<td align="right">5</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">1</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">2</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">3</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">4</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">5</td>
+<td align="right">1</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">6</td>
+<td align="right">1</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">7</td>
+<td align="right">2</td>
+</tr>
+<tr class="even">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">8</td>
+<td align="right">2</td>
+</tr>
+<tr class="odd">
+<td align="left">0001</td>
+<td align="right">0.2973806</td>
+<td align="left">4746</td>
+<td align="right">3.535534</td>
+<td align="right">16.5</td>
+<td align="left">0002</td>
+<td align="right">9</td>
+<td align="right">3</td>
+</tr>
+</tbody>
+</table>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_portf_flex</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_test_data_portfolio.html">sim_test_data_portfolio</a></span><span class="op">(</span><span class="va">df_config</span>, df_ae_rates <span class="op">=</span> <span class="va">df_ae_rates</span>, parallel <span class="op">=</span> <span class="cn">TRUE</span>, progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="compare-ae-rates">Compare AE rates<a class="anchor" aria-label="anchor" href="#compare-ae-rates"></a>
+</h3>
+<p>Next we confirm the different AE rates in our two synthetic
+portfolios.</p>
+<div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_rate_fix</span> <span class="op">&lt;-</span> <span class="va">df_portf_fix</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ae_rate <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/coalesce.html" class="external-link">coalesce</a></span><span class="op">(</span><span class="va">n_ae</span> <span class="op">-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/lead-lag.html" class="external-link">lag</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span>, <span class="va">n_ae</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"study_id"</span>, <span class="st">"patnum"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span>ae_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">ae_rate</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"study_id"</span>, <span class="st">"visit"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>rate <span class="op">=</span> <span class="st">"fix"</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">df_rate_flex</span> <span class="op">&lt;-</span> <span class="va">df_portf_flex</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ae_rate <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/coalesce.html" class="external-link">coalesce</a></span><span class="op">(</span><span class="va">n_ae</span> <span class="op">-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/lead-lag.html" class="external-link">lag</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span>, <span class="va">n_ae</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"study_id"</span>, <span class="st">"patnum"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span>ae_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">ae_rate</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"study_id"</span>, <span class="st">"visit"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>rate <span class="op">=</span> <span class="st">"flex"</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_rate_flex</span>, <span class="va">df_rate_fix</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">visit</span>, <span class="va">ae_rate</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>group <span class="op">=</span> <span class="va">study_id</span><span class="op">)</span>, alpha <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_smooth.html" class="external-link">geom_smooth</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">facet_wrap</a></span><span class="op">(</span><span class="op">~</span> <span class="va">rate</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Average AE rates per Study"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="funnel_perf_files/figure-html/unnamed-chunk-3-1.png" width="960"></p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_rate_flex</span>, <span class="va">df_rate_fix</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/row_number.html" class="external-link">dense_rank</a></span><span class="op">(</span><span class="va">study_id</span><span class="op">)</span> <span class="op">&lt;=</span> <span class="fl">16</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">visit</span>, <span class="va">ae_rate</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_path.html" class="external-link">geom_line</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>group <span class="op">=</span> <span class="va">rate</span>, color <span class="op">=</span> <span class="va">rate</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">facet_wrap</a></span><span class="op">(</span><span class="op">~</span> <span class="va">study_id</span>, scales <span class="op">=</span> <span class="st">"free"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>title <span class="op">=</span> <span class="st">"Average AE rates for Selected Studies"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="funnel_perf_files/figure-html/unnamed-chunk-4-1.png" width="960"></p>
+<p>We can confirm that the AE rates in the “flexible” portfolio are not
+constant. Moreover we see that the AE rate profile is very unique for
+each study.</p>
+</div>
+</div>
+<div class="section level2">
+<h2 id="funnel-plots-gsm">Funnel Plots {gsm}<a class="anchor" aria-label="anchor" href="#funnel-plots-gsm"></a>
+</h2>
+<div class="section level3">
+<h3 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></a>
+</h3>
+<p>Here we demonstrate how to use the {gsm} package on our simulated
+portfolios so that we can get a good visualisation of the funnel
+plot.</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">get_SUBJ</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_portf</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df_portf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">study_id</span>, siteid <span class="op">=</span> <span class="va">site_number</span>, subjid <span class="op">=</span> <span class="va">patnum</span>, timeonstudy <span class="op">=</span> <span class="va">visit</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span>timeonstudy <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">timeonstudy</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">siteid</span>, <span class="va">subjid</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">study_id</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span></span>
+<span><span class="va">get_AE</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_portf</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df_portf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">study_id</span>, subjid <span class="op">=</span> <span class="va">patnum</span>, <span class="va">n_ae</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span>n_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span>, .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">subjid</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">n_ae</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>n_ae <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map</a></span><span class="op">(</span><span class="va">n_ae</span>, <span class="op">~</span> <span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="va">.</span><span class="op">)</span><span class="op">)</span>, .progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html" class="external-link">unnest</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="op">-</span> <span class="va">n</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">study_id</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">dfSUBJ_fix</span> <span class="op">&lt;-</span> <span class="fu">get_SUBJ</span><span class="op">(</span><span class="va">df_portf_fix</span><span class="op">)</span></span>
+<span><span class="va">dfAE_fix</span> <span class="op">&lt;-</span> <span class="fu">get_AE</span><span class="op">(</span><span class="va">df_portf_fix</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfInput</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/AE_Map_Raw.html" class="external-link">AE_Map_Raw</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>dfSUBJ <span class="op">=</span> <span class="va">dfSUBJ_fix</span><span class="op">$</span><span class="va">data</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span>, dfAE <span class="op">=</span> <span class="va">dfAE_fix</span><span class="op">$</span><span class="va">data</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">dfInput</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 113 × 5</span></span></span>
+<span><span class="co">##    SubjectID SiteID Exposure Count  Rate</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 0001      4746         16     5 0.312</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 0002      4746         14     3 0.214</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 0003      4747         26     6 0.231</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 0004      4747         26    11 0.423</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 0005      4750         19     5 0.263</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 0006      4750         19     5 0.263</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 0007      4750         20     6 0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 0008      4750         18     3 0.167</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 0009      4815         25     3 0.12 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 0010      4815         28     8 0.286</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 103 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfTransformed</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Transform_Rate.html" class="external-link">Transform_Rate</a></span><span class="op">(</span></span>
+<span>  <span class="va">dfInput</span>,</span>
+<span>  strNumeratorCol <span class="op">=</span> <span class="st">"Count"</span>,</span>
+<span>  strDenominatorCol <span class="op">=</span> <span class="st">"Exposure"</span></span>
+<span>  <span class="op">)</span></span>
+<span><span class="va">dfTransformed</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 44 × 4</span></span></span>
+<span><span class="co">##    GroupID Numerator Denominator Metric</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 4746            8          30  0.267</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 4747           17          52  0.327</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 4750           19          76  0.25 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 4815           40         153  0.261</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 4816            9          27  0.333</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 4817            5          31  0.161</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 4818            9          30  0.3  </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 4891           48         151  0.318</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 4893           15          40  0.375</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 4932           33         137  0.241</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 34 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfAnalyzed</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Analyze_NormalApprox.html" class="external-link">Analyze_NormalApprox</a></span><span class="op">(</span><span class="va">dfTransformed</span><span class="op">)</span></span>
+<span><span class="va">dfAnalyzed</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 44 × 7</span></span></span>
+<span><span class="co">##    GroupID Numerator Denominator Metric OverallMetric Factor  Score</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 4942            6          47  0.128         0.288   1.08 -<span style="color: #BB0000;">2.34</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 5166           17          95  0.179         0.288   1.08 -<span style="color: #BB0000;">2.27</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 4817            5          31  0.161         0.288   1.08 -<span style="color: #BB0000;">1.51</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 5229           12          58  0.207         0.288   1.08 -<span style="color: #BB0000;">1.32</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 4932           33         137  0.241         0.288   1.08 -<span style="color: #BB0000;">1.18</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 4986           13          58  0.224         0.288   1.08 -<span style="color: #BB0000;">1.04</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 4985           28         114  0.246         0.288   1.08 -<span style="color: #BB0000;">0.972</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 5084            4          21  0.190         0.288   1.08 -<span style="color: #BB0000;">0.954</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 5082            9          41  0.220         0.288   1.08 -<span style="color: #BB0000;">0.938</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 4969           14          60  0.233         0.288   1.08 -<span style="color: #BB0000;">0.907</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 34 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfFlagged</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Flag_NormalApprox.html" class="external-link">Flag_NormalApprox</a></span><span class="op">(</span><span class="va">dfAnalyzed</span>, vThreshold <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="op">-</span><span class="fl">3</span>, <span class="op">-</span><span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">3</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">dfFlagged</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 44 × 8</span></span></span>
+<span><span class="co">##    GroupID Numerator Denominator Metric OverallMetric Factor  Score  Flag</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 5194           66         182  0.363         0.288   1.08  2.13      1</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 4942            6          47  0.128         0.288   1.08 -<span style="color: #BB0000;">2.34</span>     -<span style="color: #BB0000;">1</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 5166           17          95  0.179         0.288   1.08 -<span style="color: #BB0000;">2.27</span>     -<span style="color: #BB0000;">1</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 4817            5          31  0.161         0.288   1.08 -<span style="color: #BB0000;">1.51</span>      0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 5229           12          58  0.207         0.288   1.08 -<span style="color: #BB0000;">1.32</span>      0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 4932           33         137  0.241         0.288   1.08 -<span style="color: #BB0000;">1.18</span>      0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 4986           13          58  0.224         0.288   1.08 -<span style="color: #BB0000;">1.04</span>      0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 4985           28         114  0.246         0.288   1.08 -<span style="color: #BB0000;">0.972</span>     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 5084            4          21  0.190         0.288   1.08 -<span style="color: #BB0000;">0.954</span>     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 5082            9          41  0.220         0.288   1.08 -<span style="color: #BB0000;">0.938</span>     0</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 34 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfSummary</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Summarize.html" class="external-link">Summarize</a></span><span class="op">(</span><span class="va">dfFlagged</span><span class="op">)</span></span>
+<span><span class="va">dfSummary</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 44 × 6</span></span></span>
+<span><span class="co">##    GroupID Numerator Denominator Metric Score  Flag</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 5194           66         182  0.363  2.13     1</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 5166           17          95  0.179 -<span style="color: #BB0000;">2.27</span>    -<span style="color: #BB0000;">1</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 4942            6          47  0.128 -<span style="color: #BB0000;">2.34</span>    -<span style="color: #BB0000;">1</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 4968           10          24  0.417  1.34     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 4988           16          39  0.410  1.62     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 5168           11          27  0.407  1.31     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 5311            8          20  0.4    1.06     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 5273           16          40  0.4    1.50     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 4893           15          40  0.375  1.16     0</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 5083           16          44  0.364  1.06     0</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 34 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">dfBounds</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Analyze_NormalApprox_PredictBounds.html" class="external-link">Analyze_NormalApprox_PredictBounds</a></span><span class="op">(</span><span class="va">dfTransformed</span>, vThreshold <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="op">-</span><span class="fl">3</span>, <span class="op">-</span><span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">3</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">dfBounds</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 1,254 × 5</span></span></span>
+<span><span class="co">##    Threshold Denominator LogDenominator Numerator  Metric</span></span>
+<span><span class="co">##        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span>        -<span style="color: #BB0000;">3</span>        24.6           3.20    0.092<span style="text-decoration: underline;">7</span> 0.003<span style="text-decoration: underline;">77</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span>        -<span style="color: #BB0000;">3</span>        25.2           3.23    0.189  0.007<span style="text-decoration: underline;">50</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span>        -<span style="color: #BB0000;">3</span>        25.9           3.25    0.287  0.011<span style="text-decoration: underline;">1</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span>        -<span style="color: #BB0000;">3</span>        26.5           3.28    0.386  0.014<span style="text-decoration: underline;">5</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span>        -<span style="color: #BB0000;">3</span>        27.2           3.30    0.485  0.017<span style="text-decoration: underline;">9</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span>        -<span style="color: #BB0000;">3</span>        27.8           3.33    0.586  0.021<span style="text-decoration: underline;">1</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span>        -<span style="color: #BB0000;">3</span>        28.5           3.35    0.688  0.024<span style="text-decoration: underline;">2</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span>        -<span style="color: #BB0000;">3</span>        29.2           3.37    0.792  0.027<span style="text-decoration: underline;">2</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span>        -<span style="color: #BB0000;">3</span>        29.8           3.39    0.895  0.030<span style="text-decoration: underline;">0</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span>        -<span style="color: #BB0000;">3</span>        30.5           3.42    1.00   0.032<span style="text-decoration: underline;">8</span> </span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 1,244 more rows</span></span></span></code></pre>
+<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">chart</span> <span class="op">&lt;-</span> <span class="fu">gsm</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/gsm/man/Visualize_Scatter.html" class="external-link">Visualize_Scatter</a></span><span class="op">(</span><span class="va">dfFlagged</span>, <span class="va">dfBounds</span><span class="op">)</span></span>
+<span><span class="va">chart</span></span></code></pre></div>
+<p><img src="funnel_perf_files/figure-html/unnamed-chunk-6-1.png" width="700"></p>
+</div>
+<div class="section level3">
+<h3 id="simulate-ur">Simulate UR<a class="anchor" aria-label="anchor" href="#simulate-ur"></a>
+</h3>
+</div>
+</div>
+<div class="section level2">
+<h2 id="ur-funnel">UR Funnel<a class="anchor" aria-label="anchor" href="#ur-funnel"></a>
+</h2>
+<p>We write out own funnel function as adapted from {gsm}</p>
+<div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">funnel_ur</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df</span>, <span class="va">site</span>, <span class="va">ur_rate</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">visit</span> <span class="op">==</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span>, .by <span class="op">=</span> <span class="va">patnum</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>      Metric <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">n_ae</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>      n_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span>,</span>
+<span>      visit <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>      .by <span class="op">=</span> <span class="st">"site_number"</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      n_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">site</span>, <span class="va">n_ae</span> <span class="op">*</span> <span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">ur_rate</span><span class="op">)</span>, <span class="va">n_ae</span><span class="op">)</span>,</span>
+<span>      Metric <span class="op">=</span> <span class="va">n_ae</span> <span class="op">/</span> <span class="va">visit</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>          vMu <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">n_ae</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>          z_0 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">==</span> <span class="fl">0</span>,</span>
+<span>            <span class="fl">0</span>,</span>
+<span>            <span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">Metric</span> <span class="op">-</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span><span class="op">)</span> <span class="op">/</span></span>
+<span>              <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">/</span> <span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span></span>
+<span>          <span class="op">)</span>,</span>
+<span>          phi <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">z_0</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span>,</span>
+<span>          z_i <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">==</span> <span class="fl">0</span> <span class="op">|</span> <span class="va">.data</span><span class="op">$</span><span class="va">phi</span> <span class="op">==</span> <span class="fl">0</span>,</span>
+<span>            <span class="fl">0</span>,</span>
+<span>            <span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">Metric</span> <span class="op">-</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span><span class="op">)</span> <span class="op">/</span></span>
+<span>              <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">phi</span> <span class="op">*</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">/</span> <span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span></span>
+<span>          <span class="op">)</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">site</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">z_i</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">sim_ur_funnel</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">study_id</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">ungroup</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      sites <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map</a></span><span class="op">(</span><span class="va">data</span>, <span class="op">~</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/distinct.html" class="external-link">distinct</a></span><span class="op">(</span><span class="va">.</span>, <span class="va">site_number</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html" class="external-link">unnest</a></span><span class="op">(</span><span class="va">sites</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ur <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0.1</span>, <span class="fl">0.25</span>, <span class="fl">0.5</span>, <span class="fl">0.75</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html" class="external-link">unnest</a></span><span class="op">(</span><span class="va">ur</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      score <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/pmap.html" class="external-link">pmap_dbl</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">data</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span>, <span class="va">funnel_ur</span>, .progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>    <span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">df_sim_ur_funnel_flex</span> <span class="op">&lt;-</span> <span class="fu">sim_ur_funnel</span><span class="op">(</span><span class="va">df_portf_flex</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_sim_ur_funnel_fix</span> <span class="op">&lt;-</span> <span class="fu">sim_ur_funnel</span><span class="op">(</span><span class="va">df_portf_fix</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="ur-simaerep">UR {simaerep}<a class="anchor" aria-label="anchor" href="#ur-simaerep"></a>
+</h2>
+<p>We simulate under-reporting for both portfolios using {simaerep}
+using <code><a href="../reference/sim_ur_scenarios.html">sim_ur_scenarios()</a></code>.</p>
+<div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_sim_simaerep_fix</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_ur_scenarios.html">sim_ur_scenarios</a></span><span class="op">(</span></span>
+<span>   <span class="va">df_portf_fix</span>,</span>
+<span>   extra_ur_sites <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>   ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0.1</span>, <span class="fl">0.25</span>, <span class="fl">0.5</span>, <span class="fl">0.75</span>, <span class="fl">1</span><span class="op">)</span>,</span>
+<span>   parallel <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   poisson <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   prob_lower <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   progress <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_sim_simaerep_flex</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_ur_scenarios.html">sim_ur_scenarios</a></span><span class="op">(</span></span>
+<span>   <span class="va">df_portf_flex</span>,</span>
+<span>   extra_ur_sites <span class="op">=</span> <span class="fl">0</span>,</span>
+<span>   ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0.1</span>, <span class="fl">0.25</span>, <span class="fl">0.5</span>, <span class="fl">0.75</span>, <span class="fl">1</span><span class="op">)</span>,</span>
+<span>   parallel <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   poisson <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   prob_lower <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>   progress <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="evaluate">Evaluate<a class="anchor" aria-label="anchor" href="#evaluate"></a>
+</h2>
+<div class="section level3">
+<h3 id="combine-results">Combine Results<a class="anchor" aria-label="anchor" href="#combine-results"></a>
+</h3>
+<p>As the funnel plot score does not use multiplicity correction, we
+also compare the funnel plot score against the {simaerep} score w/o
+multiplicity correction.</p>
+<div class="sourceCode" id="cb28"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_sim_simaerep_fix</span><span class="op">$</span><span class="va">ae_rate</span> <span class="op">&lt;-</span> <span class="st">"AE rate: fix"</span></span>
+<span><span class="va">df_sim_simaerep_flex</span><span class="op">$</span><span class="va">ae_rate</span> <span class="op">&lt;-</span> <span class="st">"AE rate: flexible"</span></span>
+<span><span class="va">df_sim_ur_funnel_fix</span><span class="op">$</span><span class="va">ae_rate</span> <span class="op">&lt;-</span> <span class="st">"AE rate: fix"</span></span>
+<span><span class="va">df_sim_ur_funnel_flex</span><span class="op">$</span><span class="va">ae_rate</span> <span class="op">&lt;-</span> <span class="st">"AE rate: flexible"</span></span>
+<span></span>
+<span></span>
+<span></span>
+<span><span class="va">df_sim_fun_thresh2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_sim_ur_funnel_fix</span>, <span class="va">df_sim_ur_funnel_flex</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    type <span class="op">=</span> <span class="st">"funnel"</span>,</span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ae_rate</span>, <span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span>, <span class="va">score</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">df_sim_simaerep_threshp95</span> <span class="op">&lt;-</span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_sim_simaerep_fix</span>, <span class="va">df_sim_simaerep_flex</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    type <span class="op">=</span> <span class="st">"{simaerep}"</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ae_rate</span>, <span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span>, score <span class="op">=</span> <span class="va">prob_low_prob_ur</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_sim_simaerep_threshp95_no_mult</span> <span class="op">&lt;-</span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_sim_simaerep_fix</span>, <span class="va">df_sim_simaerep_flex</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    type <span class="op">=</span> <span class="st">"{simaerep} no mult"</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    score <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">prob_low</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ae_rate</span>, <span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span>, <span class="va">score</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">df_eval</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span></span>
+<span>  <span class="va">df_sim_simaerep_threshp95</span>,</span>
+<span>  <span class="va">df_sim_simaerep_threshp95_no_mult</span>,</span>
+<span>  <span class="va">df_sim_fun_thresh2</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="auc">AUC<a class="anchor" aria-label="anchor" href="#auc"></a>
+</h3>
+<p>We continue by comparing the ROC-AUC.</p>
+<div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">get_roc</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_ur</span>, <span class="va">df_nr</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/bind_rows.html" class="external-link">bind_rows</a></span><span class="op">(</span><span class="va">df_ur</span>, <span class="va">df_nr</span><span class="op">)</span> </span>
+<span>  <span class="fu">pROC</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/pROC/man/roc.html" class="external-link">roc</a></span><span class="op">(</span><span class="va">df</span>, response <span class="op">=</span> <span class="st">"is_ur"</span>, predictor <span class="op">=</span> <span class="st">"score"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># use 0 scenario to mix with ur scenario and calculate auc from scores</span></span>
+<span><span class="va">df_nr</span> <span class="op">&lt;-</span> <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>is_ur <span class="op">=</span> <span class="st">"no"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="op">-</span> <span class="va">ur_rate</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">study_id</span>, <span class="va">ae_rate</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">ungroup</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/rename.html" class="external-link">rename</a></span><span class="op">(</span>data_nr <span class="op">=</span> <span class="va">data</span><span class="op">)</span></span>
+<span>  </span>
+<span></span>
+<span><span class="va">df_ur</span> <span class="op">&lt;-</span> <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>is_ur <span class="op">=</span> <span class="st">"yes"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">study_id</span>, <span class="va">ur_rate</span>, <span class="va">ae_rate</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">ungroup</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/rename.html" class="external-link">rename</a></span><span class="op">(</span>data_ur <span class="op">=</span> <span class="va">data</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">df_auc</span> <span class="op">&lt;-</span> <span class="va">df_ur</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate-joins.html" class="external-link">left_join</a></span><span class="op">(</span></span>
+<span>    <span class="va">df_nr</span>,</span>
+<span>    by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"type"</span>, <span class="st">"study_id"</span>, <span class="st">"ae_rate"</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    roc <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map2.html" class="external-link">map2</a></span><span class="op">(</span><span class="va">data_ur</span>, <span class="va">data_nr</span>, <span class="va">get_roc</span>, .progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span>
+<span>    auc <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map_dbl</a></span><span class="op">(</span><span class="va">roc</span>, <span class="fu">pROC</span><span class="fu">::</span><span class="va"><a href="https://rdrr.io/pkg/pROC/man/auc.html" class="external-link">auc</a></span>, .progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">study_id</span>, <span class="va">ur_rate</span>, <span class="va">ae_rate</span>, <span class="va">roc</span>, <span class="va">auc</span><span class="op">)</span></span></code></pre></div>
+<div class="section level4">
+<h4 id="table">Table<a class="anchor" aria-label="anchor" href="#table"></a>
+</h4>
+<div class="sourceCode" id="cb30"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_auc</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>    sd_auc <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/sd.html" class="external-link">sd</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">auc</span><span class="op">)</span>,</span>
+<span>    auc <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">auc</span><span class="op">)</span>,</span>
+<span>    .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ur_rate</span>, <span class="va">ae_rate</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span>digit <span class="op">=</span> <span class="fl">3</span><span class="op">)</span></span></code></pre></div>
+<table class="table">
+<thead><tr class="header">
+<th align="left">type</th>
+<th align="right">ur_rate</th>
+<th align="left">ae_rate</th>
+<th align="right">sd_auc</th>
+<th align="right">auc</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.108</td>
+<td align="right">0.630</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.163</td>
+<td align="right">0.754</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.161</td>
+<td align="right">0.863</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.130</td>
+<td align="right">0.920</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.111</td>
+<td align="right">0.938</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.114</td>
+<td align="right">0.627</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.167</td>
+<td align="right">0.752</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.161</td>
+<td align="right">0.860</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.127</td>
+<td align="right">0.923</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.108</td>
+<td align="right">0.943</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.062</td>
+<td align="right">0.662</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.090</td>
+<td align="right">0.814</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.071</td>
+<td align="right">0.930</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.043</td>
+<td align="right">0.973</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.040</td>
+<td align="right">0.980</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.068</td>
+<td align="right">0.666</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.096</td>
+<td align="right">0.819</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.074</td>
+<td align="right">0.932</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.046</td>
+<td align="right">0.972</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.042</td>
+<td align="right">0.978</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.082</td>
+<td align="right">0.672</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.097</td>
+<td align="right">0.827</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.069</td>
+<td align="right">0.937</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.042</td>
+<td align="right">0.975</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.028</td>
+<td align="right">0.988</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="right">0.10</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.058</td>
+<td align="right">0.631</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="right">0.25</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.084</td>
+<td align="right">0.775</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="right">0.50</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.072</td>
+<td align="right">0.908</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="right">0.75</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.044</td>
+<td align="right">0.962</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="right">1.00</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.029</td>
+<td align="right">0.983</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="plot">Plot<a class="anchor" aria-label="anchor" href="#plot"></a>
+</h4>
+<div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_auc</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">auc</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_boxplot.html" class="external-link">geom_boxplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>fill <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_grid.html" class="external-link">facet_grid</a></span><span class="op">(</span><span class="va">ae_rate</span> <span class="op">~</span> <span class="va">ur_rate</span><span class="op">)</span>  <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_brewer.html" class="external-link">scale_fill_brewer</a></span><span class="op">(</span>palette <span class="op">=</span> <span class="st">"Dark2"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>axis.text.x <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_blank</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><img src="funnel_perf_files/figure-html/unnamed-chunk-14-1.png" width="700"></p>
+</div>
+</div>
+<div class="section level3">
+<h3 id="metrics">Metrics<a class="anchor" aria-label="anchor" href="#metrics"></a>
+</h3>
+<div class="section level4">
+<h4 id="thresholds">Thresholds<a class="anchor" aria-label="anchor" href="#thresholds"></a>
+</h4>
+<p>We set the thresholds for funnel and simaerep w/o multiplicity
+correction so that we get the same fpr as for simaerep with multiplicity
+correction and the established threshold of 0.95</p>
+<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">thresh_default</span> <span class="op">&lt;-</span> <span class="fl">0.95</span></span>
+<span></span>
+<span><span class="va">target_fpr</span> <span class="op">&lt;-</span> <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span>, <span class="va">type</span> <span class="op">==</span> <span class="st">"{simaerep}"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span>fpr <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">score</span> <span class="op">&gt;=</span> <span class="va">thresh_default</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/context.html" class="external-link">n</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">fpr</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">thresh_no_mult</span> <span class="op">&lt;-</span>  <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span>, <span class="va">type</span> <span class="op">==</span> <span class="st">"{simaerep} no mult"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">score</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile</a></span><span class="op">(</span><span class="fl">1</span> <span class="op">-</span> <span class="va">target_fpr</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">thresh_funnel</span> <span class="op">&lt;-</span> <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span>, <span class="va">type</span> <span class="op">==</span> <span class="st">"funnel"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">score</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile</a></span><span class="op">(</span><span class="va">target_fpr</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">target_fpr</span></span></code></pre></div>
+<pre><code><span><span class="co">## [1] 0.0005309081</span></span></code></pre>
+<div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">thresh_no_mult</span></span></code></pre></div>
+<pre><code><span><span class="co">## 99.94691% </span></span>
+<span><span class="co">##     0.999</span></span></code></pre>
+<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">thresh_funnel</span></span></code></pre></div>
+<pre><code><span><span class="co">## 0.05309081% </span></span>
+<span><span class="co">##   -2.979981</span></span></code></pre>
+</div>
+<div class="section level4">
+<h4 id="aggregate">Aggregate<a class="anchor" aria-label="anchor" href="#aggregate"></a>
+</h4>
+<div class="sourceCode" id="cb38"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">get_prop_test_ci95</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">...</span>, <span class="va">ix</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  </span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/stopifnot.html" class="external-link">stopifnot</a></span><span class="op">(</span><span class="va">ix</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="kw"><a href="https://rdrr.io/r/base/conditions.html" class="external-link">tryCatch</a></span><span class="op">(</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/stats/prop.test.html" class="external-link">prop.test</a></span><span class="op">(</span><span class="va">...</span><span class="op">)</span><span class="op">$</span><span class="va">conf.int</span><span class="op">[</span><span class="va">ix</span><span class="op">]</span>,</span>
+<span>    error <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">cnd</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span><span class="op">[</span><span class="va">ix</span><span class="op">]</span></span>
+<span>  <span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">aggr_results</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_eval</span><span class="op">)</span> <span class="op">{</span></span>
+<span></span>
+<span>  <span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      is_ur <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/case_when.html" class="external-link">case_when</a></span><span class="op">(</span></span>
+<span>        <span class="va">type</span> <span class="op">==</span> <span class="st">"{simaerep}"</span> <span class="op">~</span> <span class="va">score</span> <span class="op">&gt;=</span> <span class="va">thresh_default</span>,</span>
+<span>        <span class="va">type</span> <span class="op">==</span> <span class="st">"{simaerep} no mult"</span> <span class="op">~</span> <span class="va">score</span> <span class="op">&gt;=</span> <span class="va">thresh_no_mult</span>,</span>
+<span>        <span class="va">type</span> <span class="op">==</span> <span class="st">"funnel"</span> <span class="op">~</span> <span class="va">score</span> <span class="op">&lt;=</span> <span class="va">thresh_funnel</span></span>
+<span>      <span class="op">)</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>      n <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/context.html" class="external-link">n</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>      .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ae_rate</span>, <span class="va">ur_rate</span>, <span class="va">is_ur</span><span class="op">)</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://tidyr.tidyverse.org/reference/pivot_wider.html" class="external-link">pivot_wider</a></span><span class="op">(</span></span>
+<span>      names_from <span class="op">=</span> <span class="va">is_ur</span>,</span>
+<span>      values_from <span class="op">=</span> <span class="va">n</span>,</span>
+<span>      names_prefix <span class="op">=</span> <span class="st">"is_ur_"</span>,</span>
+<span>      values_fill <span class="op">=</span> <span class="fl">0</span></span>
+<span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      n_sites <span class="op">=</span> <span class="va">is_ur_TRUE</span> <span class="op">+</span> <span class="va">is_ur_FALSE</span>,</span>
+<span>      ratio <span class="op">=</span> <span class="va">is_ur_TRUE</span> <span class="op">/</span> <span class="va">n_sites</span>,</span>
+<span>      ratio_type <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span>, <span class="st">"fpr"</span>, <span class="st">"tpr"</span><span class="op">)</span>,</span>
+<span>      ci95_low <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map2.html" class="external-link">map2_dbl</a></span><span class="op">(</span><span class="va">is_ur_TRUE</span>, <span class="va">n_sites</span>, <span class="op">~</span> <span class="fu">get_prop_test_ci95</span><span class="op">(</span><span class="va">.x</span>, <span class="va">.y</span>, ix <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>      ci95_high <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map2.html" class="external-link">map2_dbl</a></span><span class="op">(</span><span class="va">is_ur_TRUE</span>, <span class="va">n_sites</span>, <span class="op">~</span> <span class="fu">get_prop_test_ci95</span><span class="op">(</span><span class="va">.x</span>, <span class="va">.y</span>, ix <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span>
+<span>    <span class="op">)</span></span>
+<span>  <span class="op">}</span></span>
+<span></span>
+<span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu">aggr_results</span><span class="op">(</span><span class="va">df_eval</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level4">
+<h4 id="table-1">Table<a class="anchor" aria-label="anchor" href="#table-1"></a>
+</h4>
+<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_perf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span>digits <span class="op">=</span> <span class="fl">4</span><span class="op">)</span></span></code></pre></div>
+<table class="table">
+<colgroup>
+<col width="16%">
+<col width="15%">
+<col width="7%">
+<col width="10%">
+<col width="9%">
+<col width="7%">
+<col width="6%">
+<col width="9%">
+<col width="7%">
+<col width="8%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">type</th>
+<th align="left">ae_rate</th>
+<th align="right">ur_rate</th>
+<th align="right">is_ur_FALSE</th>
+<th align="right">is_ur_TRUE</th>
+<th align="right">n_sites</th>
+<th align="right">ratio</th>
+<th align="left">ratio_type</th>
+<th align="right">ci95_low</th>
+<th align="right">ci95_high</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.00</td>
+<td align="right">21651</td>
+<td align="right">10</td>
+<td align="right">21661</td>
+<td align="right">0.0005</td>
+<td align="left">fpr</td>
+<td align="right">0.0002</td>
+<td align="right">0.0009</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.10</td>
+<td align="right">21584</td>
+<td align="right">77</td>
+<td align="right">21661</td>
+<td align="right">0.0036</td>
+<td align="left">tpr</td>
+<td align="right">0.0028</td>
+<td align="right">0.0045</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.25</td>
+<td align="right">20581</td>
+<td align="right">1080</td>
+<td align="right">21661</td>
+<td align="right">0.0499</td>
+<td align="left">tpr</td>
+<td align="right">0.0470</td>
+<td align="right">0.0529</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.50</td>
+<td align="right">15956</td>
+<td align="right">5705</td>
+<td align="right">21661</td>
+<td align="right">0.2634</td>
+<td align="left">tpr</td>
+<td align="right">0.2575</td>
+<td align="right">0.2693</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.75</td>
+<td align="right">11018</td>
+<td align="right">10643</td>
+<td align="right">21661</td>
+<td align="right">0.4913</td>
+<td align="left">tpr</td>
+<td align="right">0.4847</td>
+<td align="right">0.4980</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: fix</td>
+<td align="right">1.00</td>
+<td align="right">8492</td>
+<td align="right">13169</td>
+<td align="right">21661</td>
+<td align="right">0.6080</td>
+<td align="left">tpr</td>
+<td align="right">0.6014</td>
+<td align="right">0.6145</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.00</td>
+<td align="right">21648</td>
+<td align="right">13</td>
+<td align="right">21661</td>
+<td align="right">0.0006</td>
+<td align="left">fpr</td>
+<td align="right">0.0003</td>
+<td align="right">0.0011</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.10</td>
+<td align="right">21535</td>
+<td align="right">126</td>
+<td align="right">21661</td>
+<td align="right">0.0058</td>
+<td align="left">tpr</td>
+<td align="right">0.0049</td>
+<td align="right">0.0069</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.25</td>
+<td align="right">20348</td>
+<td align="right">1313</td>
+<td align="right">21661</td>
+<td align="right">0.0606</td>
+<td align="left">tpr</td>
+<td align="right">0.0575</td>
+<td align="right">0.0639</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.50</td>
+<td align="right">15435</td>
+<td align="right">6226</td>
+<td align="right">21661</td>
+<td align="right">0.2874</td>
+<td align="left">tpr</td>
+<td align="right">0.2814</td>
+<td align="right">0.2935</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.75</td>
+<td align="right">10511</td>
+<td align="right">11150</td>
+<td align="right">21661</td>
+<td align="right">0.5148</td>
+<td align="left">tpr</td>
+<td align="right">0.5081</td>
+<td align="right">0.5214</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep}</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">1.00</td>
+<td align="right">8085</td>
+<td align="right">13576</td>
+<td align="right">21661</td>
+<td align="right">0.6267</td>
+<td align="left">tpr</td>
+<td align="right">0.6203</td>
+<td align="right">0.6332</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.00</td>
+<td align="right">21641</td>
+<td align="right">20</td>
+<td align="right">21661</td>
+<td align="right">0.0009</td>
+<td align="left">fpr</td>
+<td align="right">0.0006</td>
+<td align="right">0.0015</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.10</td>
+<td align="right">21531</td>
+<td align="right">130</td>
+<td align="right">21661</td>
+<td align="right">0.0060</td>
+<td align="left">tpr</td>
+<td align="right">0.0050</td>
+<td align="right">0.0071</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.25</td>
+<td align="right">20255</td>
+<td align="right">1406</td>
+<td align="right">21661</td>
+<td align="right">0.0649</td>
+<td align="left">tpr</td>
+<td align="right">0.0617</td>
+<td align="right">0.0683</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.50</td>
+<td align="right">15130</td>
+<td align="right">6531</td>
+<td align="right">21661</td>
+<td align="right">0.3015</td>
+<td align="left">tpr</td>
+<td align="right">0.2954</td>
+<td align="right">0.3077</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.75</td>
+<td align="right">9923</td>
+<td align="right">11738</td>
+<td align="right">21661</td>
+<td align="right">0.5419</td>
+<td align="left">tpr</td>
+<td align="right">0.5352</td>
+<td align="right">0.5485</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: fix</td>
+<td align="right">1.00</td>
+<td align="right">7471</td>
+<td align="right">14190</td>
+<td align="right">21661</td>
+<td align="right">0.6551</td>
+<td align="left">tpr</td>
+<td align="right">0.6487</td>
+<td align="right">0.6614</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.00</td>
+<td align="right">21635</td>
+<td align="right">26</td>
+<td align="right">21661</td>
+<td align="right">0.0012</td>
+<td align="left">fpr</td>
+<td align="right">0.0008</td>
+<td align="right">0.0018</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.10</td>
+<td align="right">21479</td>
+<td align="right">182</td>
+<td align="right">21661</td>
+<td align="right">0.0084</td>
+<td align="left">tpr</td>
+<td align="right">0.0072</td>
+<td align="right">0.0097</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.25</td>
+<td align="right">20015</td>
+<td align="right">1646</td>
+<td align="right">21661</td>
+<td align="right">0.0760</td>
+<td align="left">tpr</td>
+<td align="right">0.0725</td>
+<td align="right">0.0796</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.50</td>
+<td align="right">14490</td>
+<td align="right">7171</td>
+<td align="right">21661</td>
+<td align="right">0.3311</td>
+<td align="left">tpr</td>
+<td align="right">0.3248</td>
+<td align="right">0.3374</td>
+</tr>
+<tr class="odd">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.75</td>
+<td align="right">9488</td>
+<td align="right">12173</td>
+<td align="right">21661</td>
+<td align="right">0.5620</td>
+<td align="left">tpr</td>
+<td align="right">0.5553</td>
+<td align="right">0.5686</td>
+</tr>
+<tr class="even">
+<td align="left">{simaerep} no mult</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">1.00</td>
+<td align="right">7123</td>
+<td align="right">14538</td>
+<td align="right">21661</td>
+<td align="right">0.6712</td>
+<td align="left">tpr</td>
+<td align="right">0.6649</td>
+<td align="right">0.6774</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.00</td>
+<td align="right">21654</td>
+<td align="right">7</td>
+<td align="right">21661</td>
+<td align="right">0.0003</td>
+<td align="left">fpr</td>
+<td align="right">0.0001</td>
+<td align="right">0.0007</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.10</td>
+<td align="right">21561</td>
+<td align="right">100</td>
+<td align="right">21661</td>
+<td align="right">0.0046</td>
+<td align="left">tpr</td>
+<td align="right">0.0038</td>
+<td align="right">0.0056</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.25</td>
+<td align="right">19908</td>
+<td align="right">1753</td>
+<td align="right">21661</td>
+<td align="right">0.0809</td>
+<td align="left">tpr</td>
+<td align="right">0.0773</td>
+<td align="right">0.0847</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.50</td>
+<td align="right">14432</td>
+<td align="right">7229</td>
+<td align="right">21661</td>
+<td align="right">0.3337</td>
+<td align="left">tpr</td>
+<td align="right">0.3275</td>
+<td align="right">0.3401</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">0.75</td>
+<td align="right">9742</td>
+<td align="right">11919</td>
+<td align="right">21661</td>
+<td align="right">0.5503</td>
+<td align="left">tpr</td>
+<td align="right">0.5436</td>
+<td align="right">0.5569</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: fix</td>
+<td align="right">1.00</td>
+<td align="right">6598</td>
+<td align="right">15063</td>
+<td align="right">21661</td>
+<td align="right">0.6954</td>
+<td align="left">tpr</td>
+<td align="right">0.6892</td>
+<td align="right">0.7015</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.00</td>
+<td align="right">21645</td>
+<td align="right">16</td>
+<td align="right">21661</td>
+<td align="right">0.0007</td>
+<td align="left">fpr</td>
+<td align="right">0.0004</td>
+<td align="right">0.0012</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.10</td>
+<td align="right">21592</td>
+<td align="right">69</td>
+<td align="right">21661</td>
+<td align="right">0.0032</td>
+<td align="left">tpr</td>
+<td align="right">0.0025</td>
+<td align="right">0.0041</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.25</td>
+<td align="right">21076</td>
+<td align="right">585</td>
+<td align="right">21661</td>
+<td align="right">0.0270</td>
+<td align="left">tpr</td>
+<td align="right">0.0249</td>
+<td align="right">0.0293</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.50</td>
+<td align="right">17908</td>
+<td align="right">3753</td>
+<td align="right">21661</td>
+<td align="right">0.1733</td>
+<td align="left">tpr</td>
+<td align="right">0.1683</td>
+<td align="right">0.1784</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">0.75</td>
+<td align="right">13506</td>
+<td align="right">8155</td>
+<td align="right">21661</td>
+<td align="right">0.3765</td>
+<td align="left">tpr</td>
+<td align="right">0.3700</td>
+<td align="right">0.3830</td>
+</tr>
+<tr class="even">
+<td align="left">funnel</td>
+<td align="left">AE rate: flexible</td>
+<td align="right">1.00</td>
+<td align="right">9665</td>
+<td align="right">11996</td>
+<td align="right">21661</td>
+<td align="right">0.5538</td>
+<td align="left">tpr</td>
+<td align="right">0.5472</td>
+<td align="right">0.5604</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="plot-1">Plot<a class="anchor" aria-label="anchor" href="#plot-1"></a>
+</h4>
+<div class="sourceCode" id="cb40"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">plot_perf</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_perf</span><span class="op">)</span> <span class="op">{</span></span>
+<span></span>
+<span>  <span class="va">df_perf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"under-reporting rate: "</span>,  <span class="va">ur_rate</span>, <span class="st">" - "</span>, <span class="va">ratio_type</span><span class="op">)</span>,</span>
+<span>           ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://stringr.tidyverse.org/reference/str_detect.html" class="external-link">str_detect</a></span><span class="op">(</span><span class="va">ur_rate</span>, <span class="st">"fpr"</span><span class="op">)</span>, <span class="st">"fpr"</span>, <span class="va">ur_rate</span><span class="op">)</span>,</span>
+<span>           ae_rate <span class="op">=</span> <span class="fu">forcats</span><span class="fu">::</span><span class="fu"><a href="https://forcats.tidyverse.org/reference/fct_rev.html" class="external-link">fct_rev</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="va">ae_rate</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">ur_rate</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ratio</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_linerange.html" class="external-link">geom_errorbar</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>ymin <span class="op">=</span> <span class="va">ci95_low</span>, ymax <span class="op">=</span> <span class="va">ci95_high</span>, color <span class="op">=</span> <span class="va">type</span>, linetype <span class="op">=</span> <span class="va">ae_rate</span><span class="op">)</span>, linewidth <span class="op">=</span> <span class="fl">1</span><span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">facet_wrap</a></span><span class="op">(</span><span class="op">~</span> <span class="va">ur_rate</span>, ncol <span class="op">=</span> <span class="fl">1</span><span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html" class="external-link">coord_flip</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span></span>
+<span>        x <span class="op">=</span> <span class="st">""</span>,</span>
+<span>        y <span class="op">=</span> <span class="st">"CI95 Performance Ratio"</span>, </span>
+<span>        title <span class="op">=</span> <span class="st">"{simaerep} vs Funnel-Plot Performance"</span></span>
+<span>      <span class="op">)</span> <span class="op">+</span></span>
+<span>      <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_brewer.html" class="external-link">scale_color_brewer</a></span><span class="op">(</span>palette <span class="op">=</span> <span class="st">"Dark2"</span><span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="fu">plot_perf</span><span class="op">(</span><span class="va">df_perf</span><span class="op">)</span></span></code></pre></div>
+<p><img src="funnel_perf_files/figure-html/plot-1.png" width="960"></p>
+</div>
+</div>
+</div>
+<div class="section level2">
+<h2 id="summary">Summary<a class="anchor" aria-label="anchor" href="#summary"></a>
+</h2>
+<ul>
+<li>Funnel plot expects constant event rates over time. Performance
+decrease when event rates are flexible.</li>
+<li>{simaerep} performance is uneffected by flexible event rates.</li>
+<li>{simaerep} detection rates with comparable false positive rates are
+greater than funnel plot detection rates when event rates are
+flexible.</li>
+</ul>
+<div class="sourceCode" id="cb41"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">sequential</span><span class="op">)</span></span></code></pre></div>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+</div>
+
+    </footer>
+</div>
+
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+  </body>
+</html>
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index a1aa34f..37b54ec 100644
--- a/docs/articles/index.html
+++ b/docs/articles/index.html
@@ -1,109 +1,72 @@
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-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Articles • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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       <dl><dt><a href="intro.html">Introduction</a></dt>
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+        </dd><dt><a href="inframe.html">Inframe Simulation Using Table Operations</a></dt>
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+        </dd><dt><a href="over.html">Over-Reporting Probability</a></dt>
+        <dd>
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         <dd>
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+      </ul>
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+
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+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Inframe Simulation Using Table Operations</h1>
+            
+      
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/inframe.Rmd" class="external-link"><code>vignettes/inframe.Rmd</code></a></small>
+      <div class="d-none name"><code>inframe.Rmd</code></div>
+    </div>
+
+    
+    
+<div class="section level2">
+<h2 id="load">Load<a class="anchor" aria-label="anchor" href="#load"></a>
+</h2>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tibble.tidyverse.org/" class="external-link">tibble</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyr.tidyverse.org" class="external-link">tidyr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://openpharma.github.io/simaerep/">simaerep</a></span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
+</h2>
+<p>With the latest <code>0.6.0</code> release we have added an
+alternative version of the {simaerep} algorithm that was coded using
+solely <code>dbplyr</code> compatible table operations.</p>
+<ul>
+<li>expand the patients for each site <code>r</code> times</li>
+<li>join each patient with a random eligible patient from same
+study</li>
+<li>for each replicate calculate event per visit rate per site</li>
+<li>calculate the ratio of having a lower event per visit rate than
+actually observed</li>
+</ul>
+<p>This comes with the following advantages and disadvantages:</p>
+<ul>
+<li>Patients are individually matched with patients that have reached
+the same visit in the study. No need to pick visit_med75 as an
+evaluation point.</li>
+<li>
+<code>dbplyr</code> compatibility means that code execution can be
+done in a database back-end as opposed to in-memory.</li>
+<li>Matching patients individually is more costly, this increases
+in-memory computation time</li>
+<li>Limited patient sample pool for patients that have more visits than
+other patients in study.</li>
+</ul>
+</div>
+<div class="section level2">
+<h2 id="sample-data">Sample Data<a class="anchor" aria-label="anchor" href="#sample-data"></a>
+</h2>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span>
+<span>  n_pat <span class="op">=</span> <span class="fl">1000</span>, <span class="co"># number of patients in study</span></span>
+<span>  n_sites <span class="op">=</span> <span class="fl">100</span>, <span class="co"># number of sites in study</span></span>
+<span>  frac_site_with_ur <span class="op">=</span> <span class="fl">0.05</span>, <span class="co"># fraction of sites under-reporting</span></span>
+<span>  ur_rate <span class="op">=</span> <span class="fl">0.4</span>, <span class="co"># rate of under-reporting</span></span>
+<span>  ae_per_visit_mean <span class="op">=</span> <span class="fl">0.5</span> <span class="co"># mean AE per patient visit</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_visit</span><span class="op">$</span><span class="va">study_id</span> <span class="op">&lt;-</span> <span class="st">"A"</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="patient-level-matching">Patient-Level Matching<a class="anchor" aria-label="anchor" href="#patient-level-matching"></a>
+</h2>
+<p>Here we use the standard version of the algorithm.</p>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">aerep_trad</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">aerep_trad</span><span class="op">)</span></span></code></pre></div>
+<p><img src="inframe_files/figure-html/unnamed-chunk-2-1.png" width="700"></p>
+<p>To use the patient-level matching algorithm we set
+<code>inframe=TRUE</code> and <code>visit_med75=FALSE</code>.</p>
+<p>The original algorithm uses fixed seeds before sampling while the
+inframe method does not. In order to obtain consistent results we need
+to manually set a seed.</p>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">aerep_inframe</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span></span>
+<span>  <span class="va">df_visit</span>,</span>
+<span>  inframe <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  visit_med75 <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+<p>The plot shows that for all sites 10/10 patients were used and none
+were excluded. We also observe that the site average has become more
+noisy as less patients are used to calculate the averages for the higher
+visit numbers.</p>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">aerep_inframe</span><span class="op">)</span></span></code></pre></div>
+<p><img src="inframe_files/figure-html/unnamed-chunk-4-1.png" width="700"></p>
+<p>The inframe method includes this noisier data but does not compare
+average event counts but event per visit rates. We can find
+<code>events_per_visit_site</code> and
+<code>events_per_visit_study</code> in <code>df_eval</code>. The latter
+is the average event rate obtained in the simulation in which each
+patient has been resampled according to its maximum visit.</p>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">aerep_inframe</span><span class="op">$</span><span class="va">df_eval</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 100 × 10</span></span></span>
+<span><span class="co">##    study_id site_number events_per_visit_site events visits n_pat prob_low</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> A        S0001                       0.279     50    179    10    0    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> A        S0002                       0.281     59    210    10    0    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> A        S0003                       0.291     55    189    10    0    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> A        S0004                       0.312     59    189    10    0    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> A        S0005                       0.297     58    195    10    0    </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> A        S0006                       0.493    100    203    10    0.569</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> A        S0007                       0.408     89    218    10    0.044</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> A        S0008                       0.559     95    170    10    0.922</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> A        S0009                       0.518    101    195    10    0.761</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> A        S0010                       0.470     87    185    10    0.385</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 90 more rows</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 3 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span></span></code></pre>
+<p>We can also force the inframe method to use the visit_med75 this will
+prefilter <code>df_visit</code>, which adds an extra step and decreases
+performance.</p>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">aerep_inframe_visit_med75</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span></span>
+<span>  <span class="va">df_visit</span>,</span>
+<span>  inframe <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  visit_med75 <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">aerep_inframe_visit_med75</span><span class="op">)</span></span></code></pre></div>
+<p><img src="inframe_files/figure-html/unnamed-chunk-6-1.png" width="700"></p>
+</div>
+<div class="section level2">
+<h2 id="db">DB<a class="anchor" aria-label="anchor" href="#db"></a>
+</h2>
+<p>We can demonstrate the database-backend compatibility by using a
+connection to a in memory <code>duckdb</code> database. In order to set
+the number of replications we need to create a new table in our back-end
+that has one column with as many rows as the desired replications.</p>
+<p>A lazy reference to this table can then be passed to the
+<code>r</code> parameter.</p>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">con</span> <span class="op">&lt;-</span> <span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbConnect.html" class="external-link">dbConnect</a></span><span class="op">(</span><span class="fu">duckdb</span><span class="fu">::</span><span class="fu"><a href="https://r.duckdb.org/reference/duckdb.html" class="external-link">duckdb</a></span><span class="op">(</span><span class="op">)</span>, dbdir <span class="op">=</span> <span class="st">":memory:"</span><span class="op">)</span></span>
+<span><span class="va">df_r</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>rep <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_visit</span>, <span class="st">"visit"</span><span class="op">)</span></span>
+<span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_r</span>, <span class="st">"r"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">tbl_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"visit"</span><span class="op">)</span></span>
+<span><span class="va">tbl_r</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"r"</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">aerep</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">tbl_visit</span>, r <span class="op">=</span> <span class="va">tbl_r</span>, visit_med75 <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<p>When inspecting <code>df_eval</code> we see that it is still a lazy
+table object.</p>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">aerep</span><span class="op">$</span><span class="va">df_eval</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># Source:     SQL [?? x 10]</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># Ordered by: study_id, site_number</span></span></span>
+<span><span class="co">##    study_id site_number events_per_visit_site events visits n_pat prob_low</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> A        S0040                       0.477     95    199    10    0.43 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> A        S0082                       0.470     87    185    10    0.382</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> A        S0084                       0.513    101    197    10    0.698</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> A        S0030                       0.538    106    197    10    0.828</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> A        S0037                       0.429     85    198    10    0.143</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> A        S0034                       0.432     79    183    10    0.148</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> A        S0095                       0.452     80    177    10    0.255</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> A        S0089                       0.481     91    189    10    0.467</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> A        S0031                       0.49      98    200    10    0.527</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> A        S0069                       0.503     88    175    10    0.644</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ more rows</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 3 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span></span></code></pre>
+<p>We can convert it to sql code. The <code>cte</code> option makes the
+sql code more readable.</p>
+<div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sql_eval</span> <span class="op">&lt;-</span> <span class="fu">dbplyr</span><span class="fu">::</span><span class="fu"><a href="https://dbplyr.tidyverse.org/reference/sql_build.html" class="external-link">sql_render</a></span><span class="op">(</span><span class="va">aerep</span><span class="op">$</span><span class="va">df_eval</span>, sql_options <span class="op">=</span> <span class="fu">dbplyr</span><span class="fu">::</span><span class="fu"><a href="https://dbplyr.tidyverse.org/reference/sql_options.html" class="external-link">sql_options</a></span><span class="op">(</span>cte <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu">stringr</span><span class="fu">::</span><span class="fu"><a href="https://stringr.tidyverse.org/reference/str_trunc.html" class="external-link">str_trunc</a></span><span class="op">(</span><span class="va">sql_eval</span>, <span class="fl">500</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## &lt;SQL&gt; WITH q01 AS (</span></span>
+<span><span class="co">##   SELECT</span></span>
+<span><span class="co">##     patnum,</span></span>
+<span><span class="co">##     site_number,</span></span>
+<span><span class="co">##     is_ur,</span></span>
+<span><span class="co">##     max_visit_mean,</span></span>
+<span><span class="co">##     max_visit_sd,</span></span>
+<span><span class="co">##     ae_per_visit_mean,</span></span>
+<span><span class="co">##     CAST(visit AS NUMERIC) AS visit,</span></span>
+<span><span class="co">##     CAST(n_ae AS NUMERIC) AS n_ae,</span></span>
+<span><span class="co">##     study_id</span></span>
+<span><span class="co">##   FROM visit</span></span>
+<span><span class="co">## ),</span></span>
+<span><span class="co">## q02 AS (</span></span>
+<span><span class="co">##   SELECT DISTINCT study_id, site_number</span></span>
+<span><span class="co">##   FROM q01</span></span>
+<span><span class="co">##   GROUP BY study_id, site_number, patnum</span></span>
+<span><span class="co">## ),</span></span>
+<span><span class="co">## q03 AS (</span></span>
+<span><span class="co">##   SELECT study_id, site_number, patnum, MAX(visit) AS max_visit_per_pat</span></span>
+<span><span class="co">##   FROM q01</span></span>
+<span><span class="co">##   GROUP BY study_id, site_number, patnum</span></span>
+<span><span class="co">## ),</span></span>
+<span><span class="co">## q04 AS (</span></span>
+<span><span class="co">##   SELECT DISTINCT study...</span></span></code></pre>
+<p>We can take that code and wrap it in a <code>CREATE TABLE</code>
+statement</p>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sql_create</span> <span class="op">&lt;-</span> <span class="fu">glue</span><span class="fu">::</span><span class="fu"><a href="https://glue.tidyverse.org/reference/glue.html" class="external-link">glue</a></span><span class="op">(</span><span class="st">"CREATE TABLE eval AS ({sql_eval})"</span><span class="op">)</span></span>
+<span><span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbExecute.html" class="external-link">dbExecute</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">sql_create</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## [1] 100</span></span></code></pre>
+<p>Retrieve the new table from the database.</p>
+<div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">tbl_eval</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"eval"</span><span class="op">)</span></span>
+<span><span class="va">tbl_eval</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># Source:   table&lt;eval&gt; [?? x 10]</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># Database: DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span></span>
+<span><span class="co">##    study_id site_number events_per_visit_site events visits n_pat prob_low</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> A        S0039                       0.472     92    195    10    0.389</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> A        S0010                       0.470     87    185    10    0.385</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> A        S0024                       0.495     91    184    10    0.579</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> A        S0014                       0.505    103    204    10    0.629</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> A        S0043                       0.503     91    181    10    0.629</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> A        S0036                       0.506     89    176    10    0.666</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> A        S0067                       0.428     83    194    10    0.127</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> A        S0019                       0.448     74    165    10    0.256</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> A        S0042                       0.470     85    181    10    0.379</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> A        S0094                       0.469     99    211    10    0.379</span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ more rows</span></span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 3 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span></span>
+<span><span class="co">## <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span></span></code></pre>
+<p>We plot the results from the {simaerep} object.</p>
+<div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">aerep</span><span class="op">)</span></span></code></pre></div>
+<p><img src="inframe_files/figure-html/unnamed-chunk-12-1.png" width="700"></p>
+<p>Or more efficiently by using <code><a href="../reference/plot_study.html">plot_study()</a></code> when we have
+already written the <code>simaerep</code> results into the database.
+Here we avoid that the results are being recalculated just for the sake
+of creating a plot. However this requires that we save
+<code>df_site</code> to the database as well.</p>
+<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">sql_site</span> <span class="op">&lt;-</span> <span class="fu">dbplyr</span><span class="fu">::</span><span class="fu"><a href="https://dbplyr.tidyverse.org/reference/sql_build.html" class="external-link">sql_render</a></span><span class="op">(</span><span class="va">aerep</span><span class="op">$</span><span class="va">df_site</span><span class="op">)</span></span>
+<span><span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbExecute.html" class="external-link">dbExecute</a></span><span class="op">(</span><span class="va">con</span>, <span class="fu">glue</span><span class="fu">::</span><span class="fu"><a href="https://glue.tidyverse.org/reference/glue.html" class="external-link">glue</a></span><span class="op">(</span><span class="st">"CREATE TABLE site AS ({sql_site})"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## [1] 100</span></span></code></pre>
+<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">tbl_site</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"site"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="../reference/plot_study.html">plot_study</a></span><span class="op">(</span><span class="va">tbl_visit</span>, <span class="va">tbl_site</span>, <span class="va">tbl_eval</span>, study <span class="op">=</span> <span class="st">"A"</span><span class="op">)</span></span></code></pre></div>
+<p><img src="inframe_files/figure-html/unnamed-chunk-13-1.png" width="700"></p>
+<div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbDisconnect.html" class="external-link">dbDisconnect</a></span><span class="op">(</span><span class="va">con</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="in-memory-calculation-times">In Memory Calculation Times<a class="anchor" aria-label="anchor" href="#in-memory-calculation-times"></a>
+</h2>
+<p>Here we perform some examplary tests to illustrate the increase
+in-memory calculation time of the inframe calculation method.</p>
+<p>This is the calculation time for the default settings</p>
+<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="op">{</span><span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span>, inframe <span class="op">=</span> <span class="cn">FALSE</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span>, progress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">}</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">##    user  system elapsed </span></span>
+<span><span class="co">##   0.793   0.010   0.802</span></span></code></pre>
+<p>inframe calculation time is higher</p>
+<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="op">{</span><span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span>, inframe <span class="op">=</span> <span class="cn">TRUE</span>, visit_med75 <span class="op">=</span> <span class="cn">FALSE</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">}</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">##    user  system elapsed </span></span>
+<span><span class="co">##   1.968   0.044   2.013</span></span></code></pre>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+</div>
+
+    </footer>
+</div>
+
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+
+
+
+  </body>
+</html>
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diff --git a/docs/articles/intro.html b/docs/articles/intro.html
index 3b18283..89b2bba 100644
--- a/docs/articles/intro.html
+++ b/docs/articles/intro.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Introduction • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -12,18 +12,12 @@
 <link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png">
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png">
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script><meta property="og:title" content="Introduction">
-<meta property="og:description" content="simaerep">
-<meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Introduction">
+<!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
@@ -31,105 +25,63 @@
   gtag('config', 'UA-123997499-2');
 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
-    
+<body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
-    <div class="container template-article">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
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-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
 
-    <div id="navbar" class="navbar-collapse collapse">
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-<li>
-      <a href="../articles/intro.html">Introduction</a>
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-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
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-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
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-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
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-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
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-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
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-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
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-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto">
+<li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="active nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
-<!--/.nav-collapse -->
+
+
   </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
+</nav><div class="container template-article">
+
+
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>Introduction</h1>
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Introduction</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/intro.Rmd" class="external-link"><code>vignettes/intro.Rmd</code></a></small>
-      <div class="hidden name"><code>intro.Rmd</code></div>
-
+      <div class="d-none name"><code>intro.Rmd</code></div>
     </div>
 
     
@@ -433,7 +385,7 @@ <h4 id="s3-interface">S3 interface<a class="anchor" aria-label="anchor" href="#s
 <code class="sourceCode R"><span><span class="va">aerep</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span>
 <span><span class="va">aerep</span></span></code></pre></div>
 <pre><code><span><span class="co">## simaerep object:</span></span>
-<span><span class="co">## Check aerep$df_eval prob_low_prob_ur column for AE under-reporting probabilites.</span></span>
+<span><span class="co">## Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.</span></span>
 <span><span class="co">## Plot results using plot() generic.</span></span></code></pre>
 </div>
 <div class="section level4">
@@ -907,11 +859,11 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <code class="sourceCode R"><span><span class="va">aerep</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span>
 <span><span class="va">aerep</span></span></code></pre></div>
 <pre><code><span><span class="co">## simaerep object:</span></span>
-<span><span class="co">## Check aerep$df_eval prob_low_prob_ur column for AE under-reporting probabilites.</span></span>
+<span><span class="co">## Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.</span></span>
 <span><span class="co">## Plot results using plot() generic.</span></span></code></pre>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">aerep</span><span class="op">)</span></span></code></pre></div>
-<pre><code><span><span class="co">## List of 7</span></span>
+<pre><code><span><span class="co">## List of 11</span></span>
 <span><span class="co">##  $ visit           :List of 3</span></span>
 <span><span class="co">##   ..$ dim       : int [1:2] 2336 9</span></span>
 <span><span class="co">##   ..$ df_summary: tibble [1 × 5] (S3: tbl_df/tbl/data.frame)</span></span>
@@ -926,7 +878,7 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <span><span class="co">##   ..$ study_id          : chr [1:6] "A" "A" "A" "A" ...</span></span>
 <span><span class="co">##   ..$ site_number       : chr [1:6] "S0001" "S0002" "S0003" "S0004" ...</span></span>
 <span><span class="co">##   ..$ n_pat             : int [1:6] 20 20 20 20 20 20</span></span>
-<span><span class="co">##   ..$ n_pat_with_med75  : int [1:6] 17 17 16 17 18 20</span></span>
+<span><span class="co">##   ..$ n_pat_with_med75  : num [1:6] 17 17 16 17 18 20</span></span>
 <span><span class="co">##   ..$ visit_med75       : Named num [1:6] 15 14 17 16 16 15</span></span>
 <span><span class="co">##   .. ..- attr(*, "names")= chr [1:6] "80%" "80%" "80%" "80%" ...</span></span>
 <span><span class="co">##   ..$ mean_ae_site_med75: num [1:6] 3 3.35 8.5 8.06 7.56 ...</span></span>
@@ -934,7 +886,7 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <span><span class="co">##   ..$ study_id              : chr [1:6] "A" "A" "A" "A" ...</span></span>
 <span><span class="co">##   ..$ site_number           : chr [1:6] "S0001" "S0002" "S0003" "S0004" ...</span></span>
 <span><span class="co">##   ..$ n_pat                 : int [1:6] 20 20 20 20 20 20</span></span>
-<span><span class="co">##   ..$ n_pat_with_med75      : int [1:6] 17 17 16 17 18 20</span></span>
+<span><span class="co">##   ..$ n_pat_with_med75      : num [1:6] 17 17 16 17 18 20</span></span>
 <span><span class="co">##   ..$ visit_med75           : Named num [1:6] 15 14 17 16 16 15</span></span>
 <span><span class="co">##   .. ..- attr(*, "names")= chr [1:6] "80%" "80%" "80%" "80%" ...</span></span>
 <span><span class="co">##   ..$ mean_ae_site_med75    : num [1:6] 3 3.35 8.5 8.06 7.56 ...</span></span>
@@ -945,7 +897,7 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <span><span class="co">##   ..$ study_id              : chr [1:6] "A" "A" "A" "A" ...</span></span>
 <span><span class="co">##   ..$ site_number           : chr [1:6] "S0001" "S0002" "S0003" "S0004" ...</span></span>
 <span><span class="co">##   ..$ n_pat                 : int [1:6] 20 20 20 20 20 20</span></span>
-<span><span class="co">##   ..$ n_pat_with_med75      : int [1:6] 17 17 16 17 18 20</span></span>
+<span><span class="co">##   ..$ n_pat_with_med75      : num [1:6] 17 17 16 17 18 20</span></span>
 <span><span class="co">##   ..$ visit_med75           : Named num [1:6] 15 14 17 16 16 15</span></span>
 <span><span class="co">##   .. ..- attr(*, "names")= chr [1:6] "80%" "80%" "80%" "80%" ...</span></span>
 <span><span class="co">##   ..$ mean_ae_site_med75    : num [1:6] 3 3.35 8.5 8.06 7.56 ...</span></span>
@@ -954,6 +906,10 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <span><span class="co">##   ..$ prob_low              : num [1:6] 0 0 1 1 1 1</span></span>
 <span><span class="co">##   ..$ prob_low_adj          : num [1:6] 0 0 1 1 1 1</span></span>
 <span><span class="co">##   ..$ prob_low_prob_ur      : num [1:6] 1 1 0 0 0 0</span></span>
+<span><span class="co">##  $ r               : num 1000</span></span>
+<span><span class="co">##  $ visit_med75     : logi TRUE</span></span>
+<span><span class="co">##  $ inframe         : logi FALSE</span></span>
+<span><span class="co">##  $ under_only      : logi TRUE</span></span>
 <span><span class="co">##  $ param_site_aggr :List of 2</span></span>
 <span><span class="co">##   ..$ method      : chr "med75_adj"</span></span>
 <span><span class="co">##   ..$ min_pat_pool: num 0.2</span></span>
@@ -973,35 +929,26 @@ <h2 id="applying-simaerep">Applying {simaerep}<a class="anchor" aria-label="anch
 <p>For modifying the default parameters please check out the
 <code><a href="../reference/simaerep.html">simaerep()</a></code> documentation.</p>
 </div>
-  </div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-
-        <nav id="toc" data-toggle="toc"><h2 data-toc-skip>Contents</h2>
-    </nav>
-</div>
-
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
 </div>
 
 
 
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
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diff --git a/docs/articles/over.html b/docs/articles/over.html
index b1500b9..702f561 100644
--- a/docs/articles/over.html
+++ b/docs/articles/over.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Over-Reporting Probability">
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-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>Over-Reporting Probability</h1>
+
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Over-Reporting Probability</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/over.Rmd" class="external-link"><code>vignettes/over.Rmd</code></a></small>
-      <div class="hidden name"><code>over.Rmd</code></div>
-
+      <div class="d-none name"><code>over.Rmd</code></div>
     </div>
 
     
@@ -185,7 +137,7 @@ <h2 id="run-simaerep">Run {simaerep}<a class="anchor" aria-label="anchor" href="
 <span>  <span class="va">aerep_def</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##    user  system elapsed </span></span>
-<span><span class="co">##  19.987   1.284  21.564</span></span></code></pre>
+<span><span class="co">##  19.149   1.116  20.268</span></span></code></pre>
 <p>The original setting skips the simulation for all sites that do have
 more AEs than the study average.</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
@@ -193,7 +145,7 @@ <h2 id="run-simaerep">Run {simaerep}<a class="anchor" aria-label="anchor" href="
 <span>  <span class="va">aerep_ovr</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span><span class="va">df_visit</span>, under_only <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
 <pre><code><span><span class="co">##    user  system elapsed </span></span>
-<span><span class="co">##  25.384   1.602  27.323</span></span></code></pre>
+<span><span class="co">##  23.329   1.100  24.481</span></span></code></pre>
 <p>The new parameter calculates the probability of a site getting
 <code>a lower or equal</code> average AE count for the site visit_med75
 for every site, regardless of how its initial value compares to the
@@ -226,11 +178,11 @@ <h3 id="probability-getting-a-lower-ae-count">Probability getting a lower AE cou
 <span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"default"</span><span class="op">)</span></span>
 <span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
-<span>  <span class="fu">ggplot</span><span class="op">(</span><span class="fu">aes</span><span class="op">(</span>x <span class="op">=</span> <span class="va">mean_ae_site_med75</span> <span class="op">-</span> <span class="va">mean_ae_study_med75</span>, y <span class="op">=</span> <span class="va">prob_low</span>, color <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">geom_point</span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">theme</span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">scale_color_manual</span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"gold"</span>, <span class="st">"blue"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">labs</span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Probability of getting a lower or equal mean site AE in a 1000x simulation"</span><span class="op">)</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">mean_ae_site_med75</span> <span class="op">-</span> <span class="va">mean_ae_study_med75</span>, y <span class="op">=</span> <span class="va">prob_low</span>, color <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_point.html" class="external-link">geom_point</a></span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.5</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_color_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"gold"</span>, <span class="st">"blue"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Probability of getting a lower or equal mean site AE in a 1000x simulation"</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">ggExtra</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/ggExtra/man/ggMarginal.html" class="external-link">ggMarginal</a></span><span class="op">(</span><span class="va">p</span>, groupColour <span class="op">=</span> <span class="cn">TRUE</span>, type <span class="op">=</span> <span class="st">"density"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="over_files/figure-html/unnamed-chunk-6-1.png" width="960"></p>
@@ -269,11 +221,11 @@ <h3 id="over-reporting">Over-Reporting<a class="anchor" aria-label="anchor" href
 <span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"default under-reporting"</span><span class="op">)</span></span>
 <span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
-<span>  <span class="fu">ggplot</span><span class="op">(</span><span class="fu">aes</span><span class="op">(</span>x <span class="op">=</span> <span class="va">mean_ae_site_med75</span> <span class="op">-</span> <span class="va">mean_ae_study_med75</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">geom_point</span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.25</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">theme</span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">scale_color_manual</span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"gold"</span>, <span class="st">"purple"</span>, <span class="st">"blue"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">labs</span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Probability of getting a lower or equal mean site AE in a 1000x simulation"</span><span class="op">)</span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>x <span class="op">=</span> <span class="va">mean_ae_site_med75</span> <span class="op">-</span> <span class="va">mean_ae_study_med75</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_point.html" class="external-link">geom_point</a></span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.25</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_color_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"gold"</span>, <span class="st">"purple"</span>, <span class="st">"blue"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Probability of getting a lower or equal mean site AE in a 1000x simulation"</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">ggExtra</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/ggExtra/man/ggMarginal.html" class="external-link">ggMarginal</a></span><span class="op">(</span><span class="va">p</span>, groupColour <span class="op">=</span> <span class="cn">TRUE</span>, type <span class="op">=</span> <span class="st">"density"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="over_files/figure-html/unnamed-chunk-7-1.png" width="960"></p>
@@ -307,11 +259,11 @@ <h3 id="multiplicity-correction">Multiplicity Correction<a class="anchor" aria-l
 <span>    <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>type <span class="op">=</span> <span class="st">"default under-reporting"</span><span class="op">)</span></span>
 <span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
-<span>  <span class="fu">ggplot</span><span class="op">(</span><span class="fu">aes</span><span class="op">(</span>x <span class="op">=</span> <span class="va">mean_ae_site_med75</span> <span class="op">-</span> <span class="va">mean_ae_study_med75</span>, y <span class="op">=</span> <span class="va">value</span>, color <span class="op">=</span> <span class="va">type</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">geom_point</span><span class="op">(</span>alpha <span class="op">=</span> <span class="fl">0.25</span><span class="op">)</span> <span class="op">+</span></span>
-<span>    <span class="fu">theme</span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
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+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span>legend.position <span class="op">=</span> <span class="st">"bottom"</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_color_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"gold"</span>, <span class="st">"purple"</span>, <span class="st">"blue"</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span>y <span class="op">=</span> <span class="st">"Probability of getting a lower or equal mean site AE in a 1000x simulation"</span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">ggExtra</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/ggExtra/man/ggMarginal.html" class="external-link">ggMarginal</a></span><span class="op">(</span><span class="va">p</span>, groupColour <span class="op">=</span> <span class="cn">TRUE</span>, type <span class="op">=</span> <span class="st">"density"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="over_files/figure-html/unnamed-chunk-8-1.png" width="960"></p>
@@ -366,25 +318,25 @@ <h2 id="simulating-over-reporting">Simulating Over-Reporting<a class="anchor" ar
 <span><span class="co">##    site_number mean_ae_site_med75 mean_ae_study_med75 prob_low_prob_ur</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>               <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 1</span> S0001                    11.7                 7.48            0    </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> S0006                     8.67                8.22            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> S0013                     7.6                 7.19            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> S0005                     7.98                7.66            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> S0015                     7.98                7.66            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> S0018                     7.91                7.67            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> S0012                     7.9                 7.67            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> S0009                     7.78                7.67            0.118</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> S0010                     7.59                7.68            0.248</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> S0007                     7.58                7.68            0.276</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">11</span> S0019                     7.46                7.69            0.364</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">12</span> S0004                     7.40                7.69            0.364</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">13</span> S0017                     7.36                7.69            0.445</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">14</span> S0002                     7.72                8.27            0.58 </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">15</span> S0011                     7.17                7.71            0.587</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">16</span> S0014                     7.05                7.71            0.644</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">17</span> S0020                     7.09                7.71            0.644</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">18</span> S0003                     6.93                7.72            0.687</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">19</span> S0016                     6.96                7.72            0.687</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">20</span> S0008                     6.85                7.72            0.687</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> S0002                     7.72                8.27            0.58 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> S0003                     6.93                7.72            0.687</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> S0004                     7.40                7.69            0.364</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> S0005                     7.98                7.66            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> S0006                     8.67                8.22            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> S0007                     7.58                7.68            0.276</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> S0008                     6.85                7.72            0.687</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> S0009                     7.78                7.67            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> S0010                     7.59                7.68            0.248</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">11</span> S0011                     7.17                7.71            0.587</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">12</span> S0012                     7.9                 7.67            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">13</span> S0013                     7.6                 7.19            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">14</span> S0014                     7.05                7.71            0.644</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">15</span> S0015                     7.98                7.66            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">16</span> S0016                     6.96                7.72            0.687</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">17</span> S0017                     7.36                7.69            0.445</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">18</span> S0018                     7.91                7.67            0.118</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">19</span> S0019                     7.46                7.69            0.364</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">20</span> S0020                     7.09                7.71            0.644</span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 1 more variable: prob_high_prob_or &lt;dbl&gt;</span></span></span></code></pre>
 <p>We can plot over-reporting by changing setting
 <code>prob_col = "prob_high_prob_or"</code>.</p>
@@ -397,35 +349,26 @@ <h2 id="simulating-over-reporting">Simulating Over-Reporting<a class="anchor" ar
 <pre><code><span><span class="co">## study = NULL, defaulting to study:A</span></span></code></pre>
 <p><img src="over_files/figure-html/unnamed-chunk-12-2.png" width="960"></p>
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new file mode 100644
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+</h2>
+<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tibble.tidyverse.org/" class="external-link">tibble</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://tidyr.tidyverse.org" class="external-link">tidyr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://openpharma.github.io/simaerep/">simaerep</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://purrr.tidyverse.org/" class="external-link">purrr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://stringr.tidyverse.org" class="external-link">stringr</a></span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level2">
+<h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
+</h2>
+</div>
+<div class="section level2">
+<h2 id="performance-statistical">Performance (Statistical)<a class="anchor" aria-label="anchor" href="#performance-statistical"></a>
+</h2>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/DavisVaughan/furrr" class="external-link">furrr</a></span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">suppressPackageStartupMessages</a></span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://future.futureverse.org" class="external-link">future</a></span><span class="op">)</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">multisession</span>, workers <span class="op">=</span> <span class="fl">6</span><span class="op">)</span></span></code></pre></div>
+<div class="section level3">
+<h3 id="load-portfolio">Load Portfolio<a class="anchor" aria-label="anchor" href="#load-portfolio"></a>
+</h3>
+<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_config</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"ae_conf_20240220.csv"</span><span class="op">)</span></span>
+<span><span class="va">df_ae_rates</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"ae_rates_20240220.csv"</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_portf_flex</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/sim_test_data_portfolio.html">sim_test_data_portfolio</a></span><span class="op">(</span><span class="va">df_config</span>, df_ae_rates <span class="op">=</span> <span class="va">df_ae_rates</span>, parallel <span class="op">=</span> <span class="cn">TRUE</span>, progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_portf_flex</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/write_delim.html" class="external-link">write_csv</a></span><span class="op">(</span><span class="st">"portf.csv"</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_portf_flex</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"portf.csv"</span><span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="simulating-under-reporting">Simulating Under Reporting<a class="anchor" aria-label="anchor" href="#simulating-under-reporting"></a>
+</h3>
+<p>Here we reanalyze performance of {simaerep} integrating the learnings
+from previous versions. We will apply the following.</p>
+<ul>
+<li>generate portfolio using flexible AE rates</li>
+<li>remove AEs directly from the data set and not from an aggregated
+metric using <code><a href="../reference/sim_ur.html">sim_ur()</a></code>
+</li>
+<li>set threshold for confusion matrix so that all methods have similar
+fpr</li>
+<li>test the following {simaerep} parameters <strong>with and without
+correcting for multiplicity</strong>:
+<ul>
+<li>default algorithm</li>
+<li>default algorithm with active over-reporting scoring</li>
+<li>inframe algorithm with visit_med75</li>
+<li>inframe algorithm</li>
+</ul>
+</li>
+<li>test the following outlier detection methods
+<ul>
+<li>box-plot</li>
+<li>funnel-plot</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="section level3">
+<h3 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a>
+</h3>
+<div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">funnel</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">visit</span> <span class="op">==</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span>, .by <span class="op">=</span> <span class="va">patnum</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>    Metric <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">n_ae</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>    n_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">n_ae</span><span class="op">)</span>,</span>
+<span>    visit <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>    .by <span class="op">=</span> <span class="st">"site_number"</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>        vMu <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">n_ae</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>        z_0 <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">==</span> <span class="fl">0</span>,</span>
+<span>          <span class="fl">0</span>,</span>
+<span>          <span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">Metric</span> <span class="op">-</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span><span class="op">)</span> <span class="op">/</span></span>
+<span>            <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">/</span> <span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span></span>
+<span>        <span class="op">)</span>,</span>
+<span>        phi <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/mean.html" class="external-link">mean</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">z_0</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span>,</span>
+<span>        z_i <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">==</span> <span class="fl">0</span> <span class="op">|</span> <span class="va">.data</span><span class="op">$</span><span class="va">phi</span> <span class="op">==</span> <span class="fl">0</span>,</span>
+<span>          <span class="fl">0</span>,</span>
+<span>          <span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">Metric</span> <span class="op">-</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span><span class="op">)</span> <span class="op">/</span></span>
+<span>            <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">phi</span> <span class="op">*</span> <span class="va">.data</span><span class="op">$</span><span class="va">vMu</span> <span class="op">/</span> <span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span></span>
+<span>        <span class="op">)</span></span>
+<span>  <span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">box</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df</span> <span class="op">&lt;-</span> <span class="va">df</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">visit</span> <span class="op">==</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span>, .by <span class="op">=</span> <span class="va">patnum</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>      event_per_visit <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">n_ae</span><span class="op">)</span> <span class="op">/</span> <span class="fu"><a href="https://rdrr.io/r/base/sum.html" class="external-link">sum</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">visit</span><span class="op">)</span>,</span>
+<span>      .by <span class="op">=</span> <span class="st">"site_number"</span></span>
+<span>    <span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">bx</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/grDevices/boxplot.stats.html" class="external-link">boxplot.stats</a></span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">event_per_visit</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">df</span> <span class="op">&lt;-</span> <span class="va">df</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      box_out <span class="op">=</span> <span class="va">event_per_visit</span> <span class="op">&lt;</span> <span class="va">bx</span><span class="op">$</span><span class="va">stats</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span></span>
+<span>    <span class="op">)</span></span>
+<span>  </span>
+<span><span class="op">}</span></span>
+<span></span>
+<span></span>
+<span><span class="va">perf</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">df_vs_study</span> <span class="op">&lt;-</span> <span class="va">df_visit</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/sim_ur.html">sim_ur</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">df_visit_med75</span> <span class="op">&lt;-</span> <span class="va">df_vs_study</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span>under_only <span class="op">=</span> <span class="cn">TRUE</span>, progress <span class="op">=</span> <span class="cn">FALSE</span>, check <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="va">.</span><span class="op">$</span><span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">df_visit_med75_over</span> <span class="op">&lt;-</span> <span class="va">df_vs_study</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span>under_only <span class="op">=</span> <span class="cn">FALSE</span>, progress <span class="op">=</span> <span class="cn">FALSE</span>, check <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="va">.</span><span class="op">$</span><span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span></span>
+<span></span>
+<span>  <span class="va">df_inframe</span> <span class="op">&lt;-</span> <span class="va">df_vs_study</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span>inframe <span class="op">=</span> <span class="cn">TRUE</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span>, check <span class="op">=</span> <span class="cn">FALSE</span>, visit_med75 <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="va">.</span><span class="op">$</span><span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">df_inframe_visit_med75</span> <span class="op">&lt;-</span> <span class="va">df_vs_study</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="../reference/simaerep.html">simaerep</a></span><span class="op">(</span>inframe <span class="op">=</span> <span class="cn">TRUE</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span>, check <span class="op">=</span> <span class="cn">FALSE</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="va">.</span><span class="op">$</span><span class="va">df_eval</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">funnel_zi</span> <span class="op">&lt;-</span> <span class="fu">funnel</span><span class="op">(</span><span class="va">df_vs_study</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">z_i</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="va">box_out</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/graphics/box.html" class="external-link">box</a></span><span class="op">(</span><span class="va">df_vs_study</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.data</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="va">.env</span><span class="op">$</span><span class="va">site_number</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">box_out</span><span class="op">)</span></span>
+<span></span>
+<span>  <span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span></span>
+<span>    score_visit_med75 <span class="op">=</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">prob_low_prob_ur</span>,</span>
+<span>    score_visit_med75_no_mult <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">prob_low</span>,</span>
+<span>    score_visit_med75_over <span class="op">=</span> <span class="va">df_visit_med75_over</span><span class="op">$</span><span class="va">prob_low_prob_ur</span>,</span>
+<span>    score_visit_med75_over_no_mult <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">df_visit_med75_over</span><span class="op">$</span><span class="va">prob_low</span>,</span>
+<span>    score_inframe <span class="op">=</span> <span class="va">df_inframe</span><span class="op">$</span><span class="va">prob_low_prob_ur</span>,</span>
+<span>    score_inframe_no_mult <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">df_inframe</span><span class="op">$</span><span class="va">prob_low</span>,</span>
+<span>    score_inframe_visit_med75 <span class="op">=</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">prob_low_prob_ur</span>,</span>
+<span>    score_inframe_visit_med75_no_mult <span class="op">=</span> <span class="fl">1</span> <span class="op">-</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">prob_low</span>,</span>
+<span>    score_funnel_zi <span class="op">=</span> <span class="va">funnel_zi</span>,</span>
+<span>    score_box_out <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/integer.html" class="external-link">as.integer</a></span><span class="op">(</span><span class="va">box_out</span><span class="op">)</span>,</span>
+<span>    stat_visit_med75_visit_med75 <span class="op">=</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">visit_med75</span>,</span>
+<span>    stat_visit_med75_n_pat_with_med75 <span class="op">=</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">n_pat_with_med75</span>,</span>
+<span>    stat_visit_med75_mean_ae_site_med75 <span class="op">=</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">mean_ae_site_med75</span>,</span>
+<span>    stat_visit_med75_mean_ae_study_med75 <span class="op">=</span> <span class="va">df_visit_med75</span><span class="op">$</span><span class="va">mean_ae_study_med75</span>,</span>
+<span>    stat_inframe_visit_med75 <span class="op">=</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">visit_med75</span>,</span>
+<span>    stat_inframe_visit_med75_n_pat_with_med75 <span class="op">=</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">n_pat_with_med75</span>,</span>
+<span>    stat_inframe_visit_med75_events_per_visit_site <span class="op">=</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">events_per_visit_site</span>,</span>
+<span>    stat_inframe_visit_med75_events_per_visit_study <span class="op">=</span> <span class="va">df_inframe_visit_med75</span><span class="op">$</span><span class="va">events_per_visit_study</span>,</span>
+<span>    stat_inframe_n_pat <span class="op">=</span> <span class="va">df_inframe</span><span class="op">$</span><span class="va">n_pat</span>,</span>
+<span>    stat_inframe_events_per_visit_site <span class="op">=</span> <span class="va">df_inframe</span><span class="op">$</span><span class="va">events_per_visit_site</span>,</span>
+<span>    stat_inframe_events_per_visit_study <span class="op">=</span> <span class="va">df_inframe</span><span class="op">$</span><span class="va">events_per_visit_study</span>,</span>
+<span>  <span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="co"># perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0) %&gt;% unlist()</span></span>
+<span><span class="co"># perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0.5) %&gt;% unlist()</span></span>
+<span><span class="co"># perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0.75) %&gt;% unlist()</span></span>
+<span><span class="co"># perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 1) %&gt;% unlist()</span></span></code></pre></div>
+</div>
+<div class="section level3">
+<h3 id="grid">Grid<a class="anchor" aria-label="anchor" href="#grid"></a>
+</h3>
+<div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_grid</span> <span class="op">&lt;-</span> <span class="va">df_portf_flex</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/distinct.html" class="external-link">distinct</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">site_number</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="co"># to reduce calculation time we only take every xth study</span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/row_number.html" class="external-link">dense_rank</a></span><span class="op">(</span><span class="va">study_id</span><span class="op">)</span><span class="op"><a href="https://rdrr.io/r/base/Arithmetic.html" class="external-link">%%</a></span><span class="fl">5</span> <span class="op">==</span> <span class="fl">0</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0.1</span>, <span class="fl">0.25</span>, <span class="fl">0.5</span>, <span class="fl">0.75</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html" class="external-link">unnest</a></span><span class="op">(</span><span class="va">ur_rate</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_grid</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 27,120 × 3</span></span></span>
+<span><span class="co">##    study_id site_number ur_rate</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>         <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 0005     4480           0   </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 0005     4480           0.1 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 0005     4480           0.25</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 0005     4480           0.5 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 0005     4480           0.75</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 0005     4480           1   </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 0005     4481           0   </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 0005     4481           0.1 </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 0005     4481           0.25</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 0005     4481           0.5 </span></span>
+<span><span class="co">## <span style="color: #949494;"># ℹ 27,110 more rows</span></span></span></code></pre>
+</div>
+<div class="section level3">
+<h3 id="apply">Apply<a class="anchor" aria-label="anchor" href="#apply"></a>
+</h3>
+<div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/with_progress_cnd.html">with_progress_cnd</a></span><span class="op">(</span></span>
+<span>  <span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="va">df_grid</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>      perf <span class="op">=</span> <span class="fu"><a href="../reference/purrr_bar.html">purrr_bar</a></span><span class="op">(</span></span>
+<span>        <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span>,</span>
+<span>        .purrr <span class="op">=</span> <span class="fu">furrr</span><span class="fu">::</span><span class="va"><a href="https://furrr.futureverse.org/reference/future_map2.html" class="external-link">future_pmap</a></span>,</span>
+<span>        .f <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span>, <span class="va">y</span>, <span class="va">z</span><span class="op">)</span> <span class="fu">perf</span><span class="op">(</span><span class="va">df_portf_flex</span>, <span class="va">x</span>, <span class="va">y</span>, <span class="va">z</span><span class="op">)</span>,</span>
+<span>        .purrr_args <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>.options <span class="op">=</span> <span class="fu"><a href="https://furrr.futureverse.org/reference/furrr_options.html" class="external-link">furrr_options</a></span><span class="op">(</span>seed <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>        .steps <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">nrow</a></span><span class="op">(</span><span class="va">.</span><span class="op">)</span></span>
+<span>      <span class="op">)</span></span>
+<span>    <span class="op">)</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">df_perf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/unnest.html" class="external-link">unnest</a></span><span class="op">(</span><span class="va">perf</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/write_delim.html" class="external-link">write_csv</a></span><span class="op">(</span><span class="st">"perf.csv"</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu">readr</span><span class="fu">::</span><span class="fu"><a href="https://readr.tidyverse.org/reference/read_delim.html" class="external-link">read_csv</a></span><span class="op">(</span><span class="st">"perf.csv"</span>, show_col_types <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_perf_long</span> <span class="op">&lt;-</span> <span class="va">df_perf</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/pivot_longer.html" class="external-link">pivot_longer</a></span><span class="op">(</span>cols <span class="op">=</span> <span class="op">-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span>, names_to <span class="op">=</span> <span class="st">"type"</span>, values_to <span class="op">=</span> <span class="st">"score"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/startsWith.html" class="external-link">startsWith</a></span><span class="op">(</span><span class="va">type</span>, <span class="st">"score_"</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>type <span class="op">=</span> <span class="fu">stringr</span><span class="fu">::</span><span class="fu"><a href="https://stringr.tidyverse.org/reference/str_replace.html" class="external-link">str_replace</a></span><span class="op">(</span><span class="va">type</span>, <span class="st">"score_"</span>, <span class="st">""</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+</div>
+</div>
+<div class="section level2">
+<h2 id="evaluation">Evaluation<a class="anchor" aria-label="anchor" href="#evaluation"></a>
+</h2>
+<div class="section level4">
+<h4 id="thresholds">Thresholds<a class="anchor" aria-label="anchor" href="#thresholds"></a>
+</h4>
+<p>We set the thresholds so that we get a fpr of 0.01.</p>
+<p>Note that this results in probability thresholds ~ 0.99 for scores
+w/o multiplicity correction and in the recommended funne plot score
+threshold of -2.</p>
+<div class="sourceCode" id="cb11"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">target_fpr</span> <span class="op">&lt;-</span> <span class="fl">0.01</span></span>
+<span></span>
+<span><span class="va">df_thresh</span> <span class="op">&lt;-</span> <span class="va">df_perf_long</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">type</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/nest.html" class="external-link">nest</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">ungroup</a></span><span class="op">(</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    data <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map</a></span><span class="op">(</span><span class="va">data</span>, <span class="op">~</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">.</span>, <span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>    thresh1 <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map_dbl</a></span><span class="op">(</span><span class="va">data</span>, <span class="op">~</span> <span class="fu"><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">.</span>, <span class="va">score</span><span class="op">)</span>, <span class="fl">1</span> <span class="op">-</span> <span class="va">target_fpr</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>    thresh2 <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map_dbl</a></span><span class="op">(</span><span class="va">data</span>, <span class="op">~</span> <span class="fu"><a href="https://rdrr.io/r/stats/quantile.html" class="external-link">quantile</a></span><span class="op">(</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/pull.html" class="external-link">pull</a></span><span class="op">(</span><span class="va">.</span>, <span class="va">score</span><span class="op">)</span>, <span class="va">target_fpr</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>    thresh <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">type</span> <span class="op">==</span> <span class="st">"funnel_zi"</span>, <span class="va">thresh2</span>, <span class="va">thresh1</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">thresh</span><span class="op">)</span></span>
+<span>  </span>
+<span><span class="va">df_thresh</span></span></code></pre></div>
+<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 10 × 2</span></span></span>
+<span><span class="co">##    type                        thresh</span></span>
+<span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> visit_med75                  0.455</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> visit_med75_no_mult          0.989</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> visit_med75_over             0.455</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> visit_med75_over_no_mult     0.989</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> inframe                      0.384</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> inframe_no_mult              0.982</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> inframe_visit_med75          0.412</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> inframe_visit_med75_no_mult  0.987</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> funnel_zi                   -<span style="color: #BB0000;">2.03</span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> box_out                      1</span></span></code></pre>
+</div>
+<div class="section level4">
+<h4 id="aggregate">Aggregate<a class="anchor" aria-label="anchor" href="#aggregate"></a>
+</h4>
+<div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">get_prop_test_ci95</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">...</span>, <span class="va">ix</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  </span>
+<span>  <span class="fu"><a href="https://rdrr.io/r/base/stopifnot.html" class="external-link">stopifnot</a></span><span class="op">(</span><span class="va">ix</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">2</span><span class="op">)</span><span class="op">)</span></span>
+<span>  </span>
+<span>  <span class="kw"><a href="https://rdrr.io/r/base/conditions.html" class="external-link">tryCatch</a></span><span class="op">(</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/stats/prop.test.html" class="external-link">prop.test</a></span><span class="op">(</span><span class="va">...</span><span class="op">)</span><span class="op">$</span><span class="va">conf.int</span><span class="op">[</span><span class="va">ix</span><span class="op">]</span>,</span>
+<span>    error <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">cnd</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="cn">NA</span>, <span class="cn">NA</span><span class="op">)</span><span class="op">[</span><span class="va">ix</span><span class="op">]</span></span>
+<span>  <span class="op">)</span></span>
+<span><span class="op">}</span></span>
+<span></span>
+<span><span class="va">df_aggr</span> <span class="op">&lt;-</span> <span class="va">df_perf_long</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate-joins.html" class="external-link">left_join</a></span><span class="op">(</span><span class="va">df_thresh</span>, by <span class="op">=</span> <span class="st">"type"</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    is_ur <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">type</span> <span class="op">==</span> <span class="st">"funnel_zi"</span>, <span class="va">score</span> <span class="op">&lt;=</span> <span class="va">thresh</span>, <span class="va">score</span> <span class="op">&gt;=</span> <span class="va">thresh</span><span class="op">)</span>,</span>
+<span>    is_ur <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">type</span> <span class="op">==</span> <span class="st">"box_out"</span>, <span class="va">score</span> <span class="op">==</span> <span class="fl">1</span>, <span class="va">is_ur</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarise</a></span><span class="op">(</span></span>
+<span>    n <span class="op">=</span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/context.html" class="external-link">n</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>    .by <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ur_rate</span>, <span class="va">is_ur</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://tidyr.tidyverse.org/reference/pivot_wider.html" class="external-link">pivot_wider</a></span><span class="op">(</span></span>
+<span>    names_from <span class="op">=</span> <span class="va">is_ur</span>,</span>
+<span>    values_from <span class="op">=</span> <span class="va">n</span>,</span>
+<span>    names_prefix <span class="op">=</span> <span class="st">"is_ur_"</span>,</span>
+<span>    values_fill <span class="op">=</span> <span class="fl">0</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span>
+<span>    n_sites <span class="op">=</span> <span class="va">is_ur_TRUE</span> <span class="op">+</span> <span class="va">is_ur_FALSE</span>,</span>
+<span>    ratio <span class="op">=</span> <span class="va">is_ur_TRUE</span> <span class="op">/</span> <span class="va">n_sites</span>,</span>
+<span>    ratio_type <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">ur_rate</span> <span class="op">==</span> <span class="fl">0</span>, <span class="st">"fpr"</span>, <span class="st">"tpr"</span><span class="op">)</span>,</span>
+<span>    ci95_low <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map2.html" class="external-link">map2_dbl</a></span><span class="op">(</span><span class="va">is_ur_TRUE</span>, <span class="va">n_sites</span>, <span class="op">~</span> <span class="fu">get_prop_test_ci95</span><span class="op">(</span><span class="va">.x</span>, <span class="va">.y</span>, ix <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>    ci95_high <span class="op">=</span> <span class="fu"><a href="https://purrr.tidyverse.org/reference/map2.html" class="external-link">map2_dbl</a></span><span class="op">(</span><span class="va">is_ur_TRUE</span>, <span class="va">n_sites</span>, <span class="op">~</span> <span class="fu">get_prop_test_ci95</span><span class="op">(</span><span class="va">.x</span>, <span class="va">.y</span>, ix <span class="op">=</span> <span class="fl">2</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>    type_strip <span class="op">=</span> <span class="fu"><a href="https://stringr.tidyverse.org/reference/str_replace.html" class="external-link">str_replace</a></span><span class="op">(</span><span class="va">type</span>, <span class="st">"_no_mult"</span>, <span class="st">""</span><span class="op">)</span>,</span>
+<span>    has_mult <span class="op">=</span> <span class="op">!</span> <span class="fu"><a href="https://stringr.tidyverse.org/reference/str_detect.html" class="external-link">str_detect</a></span><span class="op">(</span><span class="va">type</span>, <span class="st">"no_mult"</span><span class="op">)</span> <span class="op">&amp;</span> <span class="op">!</span> <span class="va">type</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"funnel_zi"</span>, <span class="st">"box_out"</span><span class="op">)</span></span>
+<span>  <span class="op">)</span></span></code></pre></div>
+</div>
+<div class="section level4">
+<h4 id="table">Table<a class="anchor" aria-label="anchor" href="#table"></a>
+</h4>
+<p>Methods:</p>
+<ul>
+<li>
+<strong>visit_med75:</strong> default algorithm</li>
+<li>
+<strong>visit_med75_over:</strong> default algorithm including
+over-reporting score</li>
+<li>
+<strong>inframe:</strong> new algorithm using table operations and
+no visit_med75</li>
+<li>
+<strong>inframe visit_med75:</strong> new aldorithm using table
+operations and visit_med75</li>
+<li>
+<strong>funnel_zi:</strong> funnel plot derived outlier
+detection</li>
+<li>
+<strong>box_out:</strong> box plot derived outlier detection</li>
+</ul>
+<p>FN: false negatives TP: true positives</p>
+<div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_aggr</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span>method <span class="op">=</span> <span class="va">type_strip</span>, <span class="va">has_mult</span>, <span class="va">ur_rate</span>, FN <span class="op">=</span> <span class="va">is_ur_FALSE</span>, TP <span class="op">=</span> <span class="va">is_ur_TRUE</span>, <span class="va">n_sites</span>, <span class="va">ratio_type</span>, <span class="va">ratio</span>, <span class="va">ci95_low</span>, <span class="va">ci95_high</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span>digits <span class="op">=</span> <span class="fl">4</span><span class="op">)</span></span></code></pre></div>
+<table class="table">
+<colgroup>
+<col width="21%">
+<col width="9%">
+<col width="8%">
+<col width="5%">
+<col width="5%">
+<col width="8%">
+<col width="11%">
+<col width="7%">
+<col width="9%">
+<col width="10%">
+</colgroup>
+<thead><tr class="header">
+<th align="left">method</th>
+<th align="left">has_mult</th>
+<th align="right">ur_rate</th>
+<th align="right">FN</th>
+<th align="right">TP</th>
+<th align="right">n_sites</th>
+<th align="left">ratio_type</th>
+<th align="right">ratio</th>
+<th align="right">ci95_low</th>
+<th align="right">ci95_high</th>
+</tr></thead>
+<tbody>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.00</td>
+<td align="right">4474</td>
+<td align="right">46</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0102</td>
+<td align="right">0.0075</td>
+<td align="right">0.0137</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4474</td>
+<td align="right">46</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0102</td>
+<td align="right">0.0075</td>
+<td align="right">0.0137</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">0.00</td>
+<td align="right">4474</td>
+<td align="right">46</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0102</td>
+<td align="right">0.0075</td>
+<td align="right">0.0137</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4474</td>
+<td align="right">46</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0102</td>
+<td align="right">0.0075</td>
+<td align="right">0.0137</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">0.00</td>
+<td align="right">4470</td>
+<td align="right">50</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0111</td>
+<td align="right">0.0083</td>
+<td align="right">0.0147</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4473</td>
+<td align="right">47</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0104</td>
+<td align="right">0.0077</td>
+<td align="right">0.0139</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.00</td>
+<td align="right">4468</td>
+<td align="right">52</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0115</td>
+<td align="right">0.0087</td>
+<td align="right">0.0152</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4471</td>
+<td align="right">49</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0108</td>
+<td align="right">0.0081</td>
+<td align="right">0.0144</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4474</td>
+<td align="right">46</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0102</td>
+<td align="right">0.0075</td>
+<td align="right">0.0137</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">0.00</td>
+<td align="right">4463</td>
+<td align="right">57</td>
+<td align="right">4520</td>
+<td align="left">fpr</td>
+<td align="right">0.0126</td>
+<td align="right">0.0097</td>
+<td align="right">0.0164</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.10</td>
+<td align="right">4264</td>
+<td align="right">256</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0566</td>
+<td align="right">0.0502</td>
+<td align="right">0.0639</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4281</td>
+<td align="right">239</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0529</td>
+<td align="right">0.0466</td>
+<td align="right">0.0599</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">0.10</td>
+<td align="right">4264</td>
+<td align="right">256</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0566</td>
+<td align="right">0.0502</td>
+<td align="right">0.0639</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4281</td>
+<td align="right">239</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0529</td>
+<td align="right">0.0466</td>
+<td align="right">0.0599</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">0.10</td>
+<td align="right">4261</td>
+<td align="right">259</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0573</td>
+<td align="right">0.0508</td>
+<td align="right">0.0646</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4203</td>
+<td align="right">317</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0701</td>
+<td align="right">0.0629</td>
+<td align="right">0.0781</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.10</td>
+<td align="right">4228</td>
+<td align="right">292</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0646</td>
+<td align="right">0.0577</td>
+<td align="right">0.0723</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4253</td>
+<td align="right">267</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0591</td>
+<td align="right">0.0525</td>
+<td align="right">0.0664</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4359</td>
+<td align="right">161</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0356</td>
+<td align="right">0.0305</td>
+<td align="right">0.0415</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">0.10</td>
+<td align="right">4445</td>
+<td align="right">75</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0166</td>
+<td align="right">0.0132</td>
+<td align="right">0.0209</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.25</td>
+<td align="right">3425</td>
+<td align="right">1095</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2423</td>
+<td align="right">0.2299</td>
+<td align="right">0.2551</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">3378</td>
+<td align="right">1142</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2527</td>
+<td align="right">0.2401</td>
+<td align="right">0.2656</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">0.25</td>
+<td align="right">3425</td>
+<td align="right">1095</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2423</td>
+<td align="right">0.2299</td>
+<td align="right">0.2551</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">3378</td>
+<td align="right">1142</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2527</td>
+<td align="right">0.2401</td>
+<td align="right">0.2656</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">0.25</td>
+<td align="right">3458</td>
+<td align="right">1062</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2350</td>
+<td align="right">0.2227</td>
+<td align="right">0.2477</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">3233</td>
+<td align="right">1287</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2847</td>
+<td align="right">0.2717</td>
+<td align="right">0.2982</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.25</td>
+<td align="right">3344</td>
+<td align="right">1176</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2602</td>
+<td align="right">0.2475</td>
+<td align="right">0.2733</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">3304</td>
+<td align="right">1216</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2690</td>
+<td align="right">0.2562</td>
+<td align="right">0.2823</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">3877</td>
+<td align="right">643</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.1423</td>
+<td align="right">0.1323</td>
+<td align="right">0.1529</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">0.25</td>
+<td align="right">4357</td>
+<td align="right">163</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.0361</td>
+<td align="right">0.0309</td>
+<td align="right">0.0420</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.50</td>
+<td align="right">2161</td>
+<td align="right">2359</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5219</td>
+<td align="right">0.5072</td>
+<td align="right">0.5366</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">1977</td>
+<td align="right">2543</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5626</td>
+<td align="right">0.5480</td>
+<td align="right">0.5771</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">0.50</td>
+<td align="right">2161</td>
+<td align="right">2359</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5219</td>
+<td align="right">0.5072</td>
+<td align="right">0.5366</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">1977</td>
+<td align="right">2543</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5626</td>
+<td align="right">0.5480</td>
+<td align="right">0.5771</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">0.50</td>
+<td align="right">2146</td>
+<td align="right">2374</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5252</td>
+<td align="right">0.5105</td>
+<td align="right">0.5399</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">1836</td>
+<td align="right">2684</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5938</td>
+<td align="right">0.5793</td>
+<td align="right">0.6081</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.50</td>
+<td align="right">2081</td>
+<td align="right">2439</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5396</td>
+<td align="right">0.5249</td>
+<td align="right">0.5542</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">1927</td>
+<td align="right">2593</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5737</td>
+<td align="right">0.5591</td>
+<td align="right">0.5881</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">2607</td>
+<td align="right">1913</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.4232</td>
+<td align="right">0.4088</td>
+<td align="right">0.4378</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">0.50</td>
+<td align="right">3481</td>
+<td align="right">1039</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.2299</td>
+<td align="right">0.2177</td>
+<td align="right">0.2425</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.75</td>
+<td align="right">1269</td>
+<td align="right">3251</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7192</td>
+<td align="right">0.7059</td>
+<td align="right">0.7323</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">1095</td>
+<td align="right">3425</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7577</td>
+<td align="right">0.7449</td>
+<td align="right">0.7701</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">0.75</td>
+<td align="right">1269</td>
+<td align="right">3251</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7192</td>
+<td align="right">0.7059</td>
+<td align="right">0.7323</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">1095</td>
+<td align="right">3425</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7577</td>
+<td align="right">0.7449</td>
+<td align="right">0.7701</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">0.75</td>
+<td align="right">1200</td>
+<td align="right">3320</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7345</td>
+<td align="right">0.7213</td>
+<td align="right">0.7473</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">932</td>
+<td align="right">3588</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7938</td>
+<td align="right">0.7817</td>
+<td align="right">0.8055</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">0.75</td>
+<td align="right">1249</td>
+<td align="right">3271</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7237</td>
+<td align="right">0.7103</td>
+<td align="right">0.7366</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">1055</td>
+<td align="right">3465</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7666</td>
+<td align="right">0.7539</td>
+<td align="right">0.7788</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">1627</td>
+<td align="right">2893</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.6400</td>
+<td align="right">0.6258</td>
+<td align="right">0.6540</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">0.75</td>
+<td align="right">2242</td>
+<td align="right">2278</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.5040</td>
+<td align="right">0.4893</td>
+<td align="right">0.5187</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">1.00</td>
+<td align="right">969</td>
+<td align="right">3551</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7856</td>
+<td align="right">0.7733</td>
+<td align="right">0.7974</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">791</td>
+<td align="right">3729</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8250</td>
+<td align="right">0.8135</td>
+<td align="right">0.8359</td>
+</tr>
+<tr class="odd">
+<td align="left">visit_med75_over</td>
+<td align="left">TRUE</td>
+<td align="right">1.00</td>
+<td align="right">969</td>
+<td align="right">3551</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7856</td>
+<td align="right">0.7733</td>
+<td align="right">0.7974</td>
+</tr>
+<tr class="even">
+<td align="left">visit_med75_over</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">791</td>
+<td align="right">3729</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8250</td>
+<td align="right">0.8135</td>
+<td align="right">0.8359</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe</td>
+<td align="left">TRUE</td>
+<td align="right">1.00</td>
+<td align="right">901</td>
+<td align="right">3619</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8007</td>
+<td align="right">0.7887</td>
+<td align="right">0.8122</td>
+</tr>
+<tr class="even">
+<td align="left">inframe</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">623</td>
+<td align="right">3897</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8622</td>
+<td align="right">0.8517</td>
+<td align="right">0.8720</td>
+</tr>
+<tr class="odd">
+<td align="left">inframe_visit_med75</td>
+<td align="left">TRUE</td>
+<td align="right">1.00</td>
+<td align="right">1002</td>
+<td align="right">3518</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7783</td>
+<td align="right">0.7659</td>
+<td align="right">0.7903</td>
+</tr>
+<tr class="even">
+<td align="left">inframe_visit_med75</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">774</td>
+<td align="right">3746</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8288</td>
+<td align="right">0.8174</td>
+<td align="right">0.8396</td>
+</tr>
+<tr class="odd">
+<td align="left">funnel_zi</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">916</td>
+<td align="right">3604</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.7973</td>
+<td align="right">0.7853</td>
+<td align="right">0.8089</td>
+</tr>
+<tr class="even">
+<td align="left">box_out</td>
+<td align="left">FALSE</td>
+<td align="right">1.00</td>
+<td align="right">776</td>
+<td align="right">3744</td>
+<td align="right">4520</td>
+<td align="left">tpr</td>
+<td align="right">0.8283</td>
+<td align="right">0.8169</td>
+<td align="right">0.8391</td>
+</tr>
+</tbody>
+</table>
+</div>
+<div class="section level4">
+<h4 id="plot">Plot<a class="anchor" aria-label="anchor" href="#plot"></a>
+</h4>
+<div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">df_aggr</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ur_rate <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"under-reporting rate: "</span>,  <span class="va">ur_rate</span>, <span class="st">" - "</span>, <span class="va">ratio_type</span><span class="op">)</span></span>
+<span>  <span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">ur_rate</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
+<span>  <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/ggplot.html" class="external-link">ggplot</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span><span class="va">type</span>, <span class="va">ratio</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/geom_linerange.html" class="external-link">geom_errorbar</a></span><span class="op">(</span><span class="fu"><a href="https://ggplot2.tidyverse.org/reference/aes.html" class="external-link">aes</a></span><span class="op">(</span>ymin <span class="op">=</span> <span class="va">ci95_low</span>, ymax <span class="op">=</span> <span class="va">ci95_high</span>, color <span class="op">=</span> <span class="va">type_strip</span>, alpha <span class="op">=</span> <span class="va">has_mult</span><span class="op">)</span>, linewidth <span class="op">=</span> <span class="fl">1</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/facet_wrap.html" class="external-link">facet_wrap</a></span><span class="op">(</span><span class="op">~</span> <span class="va">ur_rate</span>, ncol <span class="op">=</span> <span class="fl">1</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/coord_flip.html" class="external-link">coord_flip</a></span><span class="op">(</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/theme.html" class="external-link">theme</a></span><span class="op">(</span></span>
+<span>      legend.position <span class="op">=</span> <span class="st">"right"</span>,</span>
+<span>      axis.text.y <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_blank</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>      axis.ticks.y <span class="op">=</span> <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/element.html" class="external-link">element_blank</a></span><span class="op">(</span><span class="op">)</span></span>
+<span>    <span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/labs.html" class="external-link">labs</a></span><span class="op">(</span></span>
+<span>      x <span class="op">=</span> <span class="st">""</span>,</span>
+<span>      y <span class="op">=</span> <span class="st">"Ratio (CI95)"</span>, </span>
+<span>      title <span class="op">=</span> <span class="st">"{simaerep} Performance"</span>,</span>
+<span>      color <span class="op">=</span> <span class="st">"Method"</span>,</span>
+<span>      alpha <span class="op">=</span> <span class="st">"Multiplicity Correction"</span></span>
+<span>    <span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_color_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rev.html" class="external-link">rev</a></span><span class="op">(</span><span class="fu">RColorBrewer</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/RColorBrewer/man/ColorBrewer.html" class="external-link">brewer.pal</a></span><span class="op">(</span>n <span class="op">=</span> <span class="fl">6</span>, name <span class="op">=</span> <span class="st">"Dark2"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">+</span></span>
+<span>    <span class="fu"><a href="https://ggplot2.tidyverse.org/reference/scale_manual.html" class="external-link">scale_alpha_manual</a></span><span class="op">(</span>values <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">0.5</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+<p><img src="performance_files/figure-html/plot-1.png" width="960"></p>
+</div>
+<div class="section level4">
+<h4 id="summary">Summary<a class="anchor" aria-label="anchor" href="#summary"></a>
+</h4>
+<ul>
+<li>new inframe method has slightly better performance than original
+algorithm</li>
+</ul>
+<blockquote>
+<p>The new inframe methods compares event per visit rates without
+dropping any patients or AEs from the analysis. This is likely to
+explain the performance increase. We observed a similar increase when we
+optimized visit_med75 in past experiments.</p>
+</blockquote>
+<ul>
+<li>multiplicity correction imposes a penalty on the true positive
+rate</li>
+</ul>
+<blockquote>
+<p>This observation was already made by the Boeringer Ingelheim Team
+during the evaluation of {simaerep}. We can now reporducibly confirm
+this. The unaltered probability score as returned by the bootstrap
+algorithm already provides very realistic under-reporting
+probabilities.</p>
+</blockquote>
+<ul>
+<li>{simaerep} outperforms simpler methods such as funnel plot and box
+plot outlier detection.</li>
+</ul>
+<blockquote>
+<p>These controly confirm previous observations that were made during
+the {simaerep} validation.</p>
+</blockquote>
+</div>
+</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
+</div>
+
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+</div>
+
+    </footer>
+</div>
+
+
+
+
+
+  </body>
+</html>
diff --git a/docs/articles/performance_files/figure-html/plot-1.png b/docs/articles/performance_files/figure-html/plot-1.png
new file mode 100644
index 0000000..f40ccdf
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diff --git a/docs/articles/performance_files/figure-html/unnamed-chunk-10-1.png b/docs/articles/performance_files/figure-html/unnamed-chunk-10-1.png
new file mode 100644
index 0000000..0eda94a
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diff --git a/docs/articles/performance_files/figure-html/unnamed-chunk-13-1.png b/docs/articles/performance_files/figure-html/unnamed-chunk-13-1.png
new file mode 100644
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diff --git a/docs/articles/portfolio_perf.html b/docs/articles/portfolio_perf.html
index 1f727c2..997f917 100644
--- a/docs/articles/portfolio_perf.html
+++ b/docs/articles/portfolio_perf.html
@@ -4,26 +4,20 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>simaerep Portfolio Performance • simaerep</title>
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<title>(superseeded) simaerep Portfolio Performance • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script><meta property="og:title" content="simaerep Portfolio Performance">
-<meta property="og:description" content="simaerep">
-<meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="(superseeded) simaerep Portfolio Performance">
+<!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
@@ -31,105 +25,63 @@
   gtag('config', 'UA-123997499-2');
 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
-    
+<body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
-    <div class="container template-article">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
-    <div class="navbar-header">
-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
 
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-<li>
-  <a href="../index.html">
-    <span class="fas fa-home fa-lg"></span>
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-  <a href="../articles/intro.html">Get Started</a>
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-  <a href="../reference/index.html">Reference</a>
-</li>
-<li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
-    Articles
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-    <span class="caret"></span>
-  </a>
-  <ul class="dropdown-menu" role="menu">
-<li>
-      <a href="../articles/intro.html">Introduction</a>
-    </li>
-    <li>
-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto">
+<li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
-<!--/.nav-collapse -->
+
+
   </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
+</nav><div class="container template-article">
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>simaerep Portfolio Performance</h1>
+
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>(superseeded) simaerep Portfolio Performance</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/portfolio_perf.Rmd" class="external-link"><code>vignettes/portfolio_perf.Rmd</code></a></small>
-      <div class="hidden name"><code>portfolio_perf.Rmd</code></div>
-
+      <div class="d-none name"><code>portfolio_perf.Rmd</code></div>
     </div>
 
     
@@ -163,7 +115,7 @@ <h2 id="performance">Performance<a class="anchor" aria-label="anchor" href="#per
 unstable so we recommend to render first using pure {rmarkdown} to
 generate the intermediate csv files.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu">rmarkdown</span><span class="fu">::</span><span class="fu"><a href="https://pkgs.rstudio.com/rmarkdown/reference/render.html" class="external-link">render</a></span><span class="op">(</span><span class="st">"vignettes/_portfolio_perf.Rmd"</span>, knit_root_dir <span class="op">=</span> <span class="st">"/home/koneswab/simaerep"</span><span class="op">)</span></span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu">rmarkdown</span><span class="fu">::</span><span class="fu"><a href="https://pkgs.rstudio.com/rmarkdown/reference/render.html" class="external-link">render</a></span><span class="op">(</span><span class="st">"vignettes/_portfolio_perf.Rmd"</span>, knit_root_dir <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/getwd.html" class="external-link">getwd</a></span><span class="op">(</span><span class="op">)</span>, <span class="st">"/vignettes"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 </div>
 <div class="section level2">
 <h2 id="portfolio-configuration">Portfolio Configuration<a class="anchor" aria-label="anchor" href="#portfolio-configuration"></a>
@@ -249,162 +201,162 @@ <h2 id="portfolio-configuration">Portfolio Configuration<a class="anchor" aria-l
 <tbody>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0002</td>
-<td align="right">4.012480</td>
-<td align="right">20.1</td>
+<td align="right">5.108816</td>
+<td align="right">18.1</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0003</td>
-<td align="right">3.573047</td>
-<td align="right">19.9</td>
+<td align="right">3.011091</td>
+<td align="right">18.8</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0004</td>
-<td align="right">4.357624</td>
-<td align="right">18.9</td>
+<td align="right">3.366502</td>
+<td align="right">18.0</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0005</td>
-<td align="right">4.357624</td>
-<td align="right">17.9</td>
+<td align="right">3.831159</td>
+<td align="right">18.7</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0006</td>
-<td align="right">3.695342</td>
-<td align="right">18.9</td>
+<td align="right">2.708013</td>
+<td align="right">19.0</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0007</td>
-<td align="right">3.348300</td>
-<td align="right">17.1</td>
+<td align="right">1.885618</td>
+<td align="right">20.0</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0008</td>
-<td align="right">3.521363</td>
-<td align="right">19.2</td>
+<td align="right">3.333333</td>
+<td align="right">20.0</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0009</td>
-<td align="right">4.372896</td>
-<td align="right">21.3</td>
+<td align="right">3.765339</td>
+<td align="right">22.2</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.4019710</td>
+<td align="right">0.3997929</td>
 <td align="left">0010</td>
-<td align="right">3.771236</td>
-<td align="right">19.0</td>
+<td align="right">2.898275</td>
+<td align="right">19.2</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0001</td>
-<td align="right">4.871687</td>
-<td align="right">19.8</td>
+<td align="right">4.237400</td>
+<td align="right">17.8</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0002</td>
-<td align="right">3.414023</td>
-<td align="right">19.9</td>
+<td align="right">3.622461</td>
+<td align="right">19.3</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0003</td>
-<td align="right">5.308274</td>
-<td align="right">19.8</td>
+<td align="right">3.272783</td>
+<td align="right">18.6</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0004</td>
-<td align="right">4.326918</td>
-<td align="right">19.5</td>
+<td align="right">4.648775</td>
+<td align="right">20.5</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0005</td>
-<td align="right">3.171050</td>
-<td align="right">20.5</td>
+<td align="right">3.368152</td>
+<td align="right">20.3</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0006</td>
-<td align="right">3.091206</td>
-<td align="right">19.0</td>
+<td align="right">4.083844</td>
+<td align="right">20.3</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0007</td>
-<td align="right">5.082650</td>
-<td align="right">20.5</td>
+<td align="right">4.900113</td>
+<td align="right">19.3</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0008</td>
-<td align="right">4.191261</td>
-<td align="right">18.3</td>
+<td align="right">3.622461</td>
+<td align="right">20.3</td>
 <td align="right">10</td>
 </tr>
 <tr class="odd">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0009</td>
-<td align="right">4.062019</td>
-<td align="right">18.5</td>
+<td align="right">3.604010</td>
+<td align="right">17.9</td>
 <td align="right">10</td>
 </tr>
 <tr class="even">
 <td align="left">0002</td>
-<td align="right">0.5097038</td>
+<td align="right">0.4793602</td>
 <td align="left">0010</td>
-<td align="right">2.905933</td>
-<td align="right">20.0</td>
+<td align="right">3.308239</td>
+<td align="right">19.5</td>
 <td align="right">10</td>
 </tr>
 </tbody>
@@ -445,253 +397,253 @@ <h3 id="simulate-portfolio-from-configuration">Simulate Portfolio from Configura
 <tbody>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">1</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">2</td>
 <td align="right">1</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">3</td>
-<td align="right">1</td>
+<td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">4</td>
-<td align="right">1</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">5</td>
 <td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">6</td>
 <td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">7</td>
 <td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">8</td>
 <td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">9</td>
 <td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">10</td>
 <td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">11</td>
-<td align="right">4</td>
+<td align="right">3</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">12</td>
-<td align="right">4</td>
+<td align="right">3</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">13</td>
-<td align="right">5</td>
+<td align="right">4</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">14</td>
-<td align="right">6</td>
+<td align="right">4</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">15</td>
-<td align="right">7</td>
+<td align="right">5</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">16</td>
-<td align="right">8</td>
+<td align="right">6</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">17</td>
-<td align="right">10</td>
+<td align="right">7</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
 <td align="left">0001</td>
 <td align="right">18</td>
-<td align="right">10</td>
+<td align="right">7</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">19</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">1</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">20</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">2</td>
+<td align="right">1</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">21</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">3</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
-<td align="left">0001</td>
-<td align="right">22</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">4</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">23</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">5</td>
+<td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">24</td>
-<td align="right">10</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">6</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
-<td align="right">0.401971</td>
-<td align="left">0001</td>
-<td align="right">4.600725</td>
-<td align="right">20.5</td>
+<td align="right">0.3997929</td>
 <td align="left">0001</td>
-<td align="right">25</td>
-<td align="right">11</td>
+<td align="right">4.175324</td>
+<td align="right">19.1</td>
+<td align="left">0002</td>
+<td align="right">7</td>
+<td align="right">3</td>
 </tr>
 </tbody>
 </table>
@@ -1099,7 +1051,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">4</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1112,7 +1064,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">5</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1125,7 +1077,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">6</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1138,7 +1090,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">7</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1151,7 +1103,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">8</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1164,7 +1116,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">9</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1177,7 +1129,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">10</td>
-<td align="right">0</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1190,7 +1142,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">11</td>
-<td align="right">0</td>
+<td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1203,7 +1155,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">12</td>
-<td align="right">1</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1216,7 +1168,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">13</td>
-<td align="right">1</td>
+<td align="right">2</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1229,7 +1181,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">14</td>
-<td align="right">1</td>
+<td align="right">2</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1294,7 +1246,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">19</td>
-<td align="right">3</td>
+<td align="right">5</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1307,7 +1259,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">20</td>
-<td align="right">3</td>
+<td align="right">5</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1320,7 +1272,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">21</td>
-<td align="right">3</td>
+<td align="right">5</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -1333,7 +1285,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0001</td>
 <td align="right">22</td>
-<td align="right">3</td>
+<td align="right">6</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -1372,7 +1324,7 @@ <h2 id="simulate-portfolio">Simulate Portfolio<a class="anchor" aria-label="anch
 <td align="right">622</td>
 <td align="left">0002</td>
 <td align="right">3</td>
-<td align="right">0</td>
+<td align="right">1</td>
 </tr>
 </tbody>
 </table>
@@ -1494,19 +1446,19 @@ <h2 id="get-under-reporting-probability-for-different-under-reporting-scenarios"
 <span><span class="va">df_scen</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<table class="table">
+<table style="width:100%;" class="table">
 <colgroup>
 <col width="3%">
 <col width="5%">
+<col width="6%">
+<col width="7%">
+<col width="3%">
 <col width="2%">
 <col width="7%">
 <col width="5%">
 <col width="8%">
 <col width="8%">
 <col width="10%">
-<col width="6%">
-<col width="7%">
-<col width="3%">
 <col width="4%">
 <col width="3%">
 <col width="4%">
@@ -1517,15 +1469,15 @@ <h2 id="get-under-reporting-probability-for-different-under-reporting-scenarios"
 <thead><tr class="header">
 <th align="left">study_id</th>
 <th align="left">site_number</th>
+<th align="right">extra_ur_sites</th>
+<th align="right">frac_pat_with_ur</th>
+<th align="right">ur_rate</th>
 <th align="right">n_pat</th>
 <th align="right">n_pat_with_med75</th>
 <th align="right">visit_med75</th>
 <th align="right">mean_ae_site_med75</th>
 <th align="right">mean_ae_study_med75</th>
 <th align="right">n_pat_with_med75_study</th>
-<th align="right">extra_ur_sites</th>
-<th align="right">frac_pat_with_ur</th>
-<th align="right">ur_rate</th>
 <th align="right">pval</th>
 <th align="right">prob_low</th>
 <th align="right">pval_adj</th>
@@ -1537,245 +1489,245 @@ <h2 id="get-under-reporting-probability-for-different-under-reporting-scenarios"
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">8.000</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
-<td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">3.500000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
+<td align="right">0.2289104</td>
+<td align="right">0.119</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.8045714</td>
+<td align="right">0.1954286</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">7.200</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
-<td align="right">0.0253165</td>
+<td align="right">0.0266667</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">3.150000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.052</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.7392000</td>
+<td align="right">0.2608000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">6.000</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
-<td align="right">0.0253165</td>
+<td align="right">0.0266667</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">2.625000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.020</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.4400000</td>
+<td align="right">0.5600000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">4.000</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
-<td align="right">0.0253165</td>
+<td align="right">0.0266667</td>
 <td align="right">0.50</td>
-<td align="right">0.5336674</td>
-<td align="right">0.251</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">1.750000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
+<td align="right">1.0000000</td>
+<td align="right">0.006</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.3722697</td>
-<td align="right">0.6277303</td>
+<td align="right">0.2640000</td>
+<td align="right">0.7360000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">2.000</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
-<td align="right">0.0253165</td>
+<td align="right">0.0266667</td>
 <td align="right">0.75</td>
-<td align="right">0.0408679</td>
-<td align="right">0.021</td>
-<td align="right">0.1541303</td>
-<td align="right">0.8458697</td>
-<td align="right">0.0644651</td>
-<td align="right">0.9355349</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">0.875000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
+<td align="right">1.0000000</td>
+<td align="right">0.002</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
+<td align="right">0.0880000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">21</td>
-<td align="right">0.000</td>
-<td align="right">5.389610</td>
-<td align="right">77</td>
 <td align="right">0</td>
-<td align="right">0.0253165</td>
+<td align="right">0.0266667</td>
 <td align="right">1.00</td>
-<td align="right">0.0000535</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">22</td>
+<td align="right">0.000000</td>
+<td align="right">5.794520</td>
+<td align="right">73</td>
+<td align="right">0.0000248</td>
 <td align="right">0.000</td>
-<td align="right">0.0005289</td>
-<td align="right">0.9994711</td>
+<td align="right">0.0010908</td>
+<td align="right">0.9989092</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">6.000</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
-<td align="right">0.6787179</td>
-<td align="right">0.341</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">9.000000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
+<td align="right">1.0000000</td>
+<td align="right">1.000</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.4688750</td>
-<td align="right">0.5311250</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">5.400</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
-<td align="right">0.0666667</td>
+<td align="right">0.0350877</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">8.100000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
 <td align="right">1.0000000</td>
-<td align="right">0.176</td>
+<td align="right">1.000</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.2848000</td>
-<td align="right">0.7152000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">4.500</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
-<td align="right">0.0666667</td>
+<td align="right">0.0350877</td>
 <td align="right">0.25</td>
-<td align="right">0.2098822</td>
-<td align="right">0.096</td>
-<td align="right">0.6442896</td>
-<td align="right">0.3557104</td>
-<td align="right">0.1849927</td>
-<td align="right">0.8150073</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">6.750000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
+<td align="right">1.0000000</td>
+<td align="right">1.000</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">3.000</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
-<td align="right">0.0666667</td>
+<td align="right">0.0350877</td>
 <td align="right">0.50</td>
-<td align="right">0.0333859</td>
-<td align="right">0.024</td>
-<td align="right">0.1315503</td>
-<td align="right">0.8684497</td>
-<td align="right">0.0728276</td>
-<td align="right">0.9271724</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">4.500000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
+<td align="right">0.3898165</td>
+<td align="right">0.192</td>
+<td align="right">1.0000000</td>
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+<td align="right">0.8080000</td>
+<td align="right">0.1920000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">1.500</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
-<td align="right">0.0666667</td>
+<td align="right">0.0350877</td>
 <td align="right">0.75</td>
-<td align="right">0.0010018</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">2.250000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
+<td align="right">1.0000000</td>
 <td align="right">0.006</td>
-<td align="right">0.0071561</td>
-<td align="right">0.9928439</td>
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+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
+<td align="right">0.2640000</td>
+<td align="right">0.7360000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">29</td>
-<td align="right">0.000</td>
-<td align="right">7.035714</td>
-<td align="right">28</td>
 <td align="right">0</td>
-<td align="right">0.0666667</td>
+<td align="right">0.0350877</td>
 <td align="right">1.00</td>
-<td align="right">0.0000022</td>
-<td align="right">0.006</td>
-<td align="right">0.0000330</td>
-<td align="right">0.9999670</td>
-<td align="right">0.0264000</td>
-<td align="right">0.9736000</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">25</td>
+<td align="right">0.000000</td>
+<td align="right">6.454546</td>
+<td align="right">55</td>
+<td align="right">0.0000073</td>
+<td align="right">0.002</td>
+<td align="right">0.0003225</td>
+<td align="right">0.9996775</td>
+<td align="right">0.0880000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0003</td>
-<td align="right">4</td>
-<td align="right">4</td>
-<td align="right">18</td>
-<td align="right">6.000</td>
-<td align="right">4.801980</td>
-<td align="right">101</td>
 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
-<td align="right">1.0000000</td>
-<td align="right">1.000</td>
+<td align="right">4</td>
+<td align="right">4</td>
+<td align="right">18</td>
+<td align="right">4.000000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
+<td align="right">0.5600287</td>
+<td align="right">0.277</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
@@ -1784,91 +1736,91 @@ <h2 id="get-under-reporting-probability-for-different-under-reporting-scenarios"
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0003</td>
+<td align="right">0</td>
+<td align="right">0.0377358</td>
+<td align="right">0.10</td>
 <td align="right">4</td>
 <td align="right">4</td>
 <td align="right">18</td>
-<td align="right">5.400</td>
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-<td align="right">101</td>
-<td align="right">0</td>
-<td align="right">0.0380952</td>
-<td align="right">0.10</td>
-<td align="right">1.0000000</td>
-<td align="right">1.000</td>
+<td align="right">3.600000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
 <td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.133</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.7315000</td>
+<td align="right">0.2685000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0003</td>
+<td align="right">0</td>
+<td align="right">0.0377358</td>
+<td align="right">0.25</td>
 <td align="right">4</td>
 <td align="right">4</td>
 <td align="right">18</td>
-<td align="right">4.500</td>
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-<td align="right">101</td>
-<td align="right">0</td>
-<td align="right">0.0380952</td>
-<td align="right">0.25</td>
-<td align="right">0.9071723</td>
-<td align="right">0.444</td>
+<td align="right">3.000000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
+<td align="right">0.1023889</td>
+<td align="right">0.049</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5717854</td>
-<td align="right">0.4282146</td>
+<td align="right">0.7040000</td>
+<td align="right">0.2960000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0003</td>
+<td align="right">0</td>
+<td align="right">0.0377358</td>
+<td align="right">0.50</td>
 <td align="right">4</td>
 <td align="right">4</td>
 <td align="right">18</td>
-<td align="right">3.000</td>
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-<td align="right">101</td>
-<td align="right">0</td>
-<td align="right">0.0380952</td>
-<td align="right">0.50</td>
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-<td align="right">0.063</td>
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-<td align="right">0.5740347</td>
-<td align="right">0.1363279</td>
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+<td align="right">2.000000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
+<td align="right">0.0067275</td>
+<td align="right">0.007</td>
+<td align="right">0.2960087</td>
+<td align="right">0.7039913</td>
+<td align="right">0.3080000</td>
+<td align="right">0.6920000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0003</td>
+<td align="right">0</td>
+<td align="right">0.0377358</td>
+<td align="right">0.75</td>
 <td align="right">4</td>
 <td align="right">4</td>
 <td align="right">18</td>
-<td align="right">1.500</td>
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-<td align="right">101</td>
-<td align="right">0</td>
-<td align="right">0.0380952</td>
-<td align="right">0.75</td>
-<td align="right">0.0012669</td>
+<td align="right">1.000000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
+<td align="right">0.0000794</td>
 <td align="right">0.000</td>
-<td align="right">0.0085757</td>
-<td align="right">0.9914243</td>
+<td align="right">0.0034928</td>
+<td align="right">0.9965072</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0003</td>
+<td align="right">0</td>
+<td align="right">0.0377358</td>
+<td align="right">1.00</td>
 <td align="right">4</td>
 <td align="right">4</td>
 <td align="right">18</td>
-<td align="right">0.000</td>
-<td align="right">4.801980</td>
-<td align="right">101</td>
-<td align="right">0</td>
-<td align="right">0.0380952</td>
-<td align="right">1.00</td>
+<td align="right">0.000000</td>
+<td align="right">4.843137</td>
+<td align="right">102</td>
 <td align="right">0.0000000</td>
 <td align="right">0.000</td>
 <td align="right">0.0000004</td>
@@ -1879,135 +1831,135 @@ <h2 id="get-under-reporting-probability-for-different-under-reporting-scenarios"
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">7.500</td>
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 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
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+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">4.666667</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
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+<td align="right">0.169</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5717854</td>
-<td align="right">0.4282146</td>
+<td align="right">0.8262222</td>
+<td align="right">0.1737778</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">6.750</td>
-<td align="right">7.850000</td>
-<td align="right">20</td>
 <td align="right">0</td>
-<td align="right">0.1666667</td>
+<td align="right">0.0800000</td>
 <td align="right">0.10</td>
-<td align="right">0.5525245</td>
-<td align="right">0.231</td>
+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">4.200000</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
+<td align="right">1.0000000</td>
+<td align="right">0.054</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.3504828</td>
-<td align="right">0.6495172</td>
+<td align="right">0.7040000</td>
+<td align="right">0.2960000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">5.625</td>
-<td align="right">7.850000</td>
-<td align="right">20</td>
 <td align="right">0</td>
-<td align="right">0.1666667</td>
+<td align="right">0.0800000</td>
 <td align="right">0.25</td>
-<td align="right">1.0000000</td>
-<td align="right">0.070</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
-<td align="right">0.1443750</td>
-<td align="right">0.8556250</td>
+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">3.500000</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
+<td align="right">0.0194500</td>
+<td align="right">0.007</td>
+<td align="right">0.4913096</td>
+<td align="right">0.5086904</td>
+<td align="right">0.3080000</td>
+<td align="right">0.6920000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">3.750</td>
-<td align="right">7.850000</td>
-<td align="right">20</td>
 <td align="right">0</td>
-<td align="right">0.1666667</td>
+<td align="right">0.0800000</td>
 <td align="right">0.50</td>
-<td align="right">0.0039482</td>
-<td align="right">0.006</td>
-<td align="right">0.0212722</td>
-<td align="right">0.9787278</td>
-<td align="right">0.0264000</td>
-<td align="right">0.9736000</td>
+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">2.333333</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
+<td align="right">0.0001854</td>
+<td align="right">0.000</td>
+<td align="right">0.0081566</td>
+<td align="right">0.9918434</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">1.875</td>
-<td align="right">7.850000</td>
-<td align="right">20</td>
 <td align="right">0</td>
-<td align="right">0.1666667</td>
+<td align="right">0.0800000</td>
 <td align="right">0.75</td>
-<td align="right">1.0000000</td>
-<td align="right">0.001</td>
-<td align="right">1.0000000</td>
+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">1.166667</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
+<td align="right">0.0000000</td>
+<td align="right">0.000</td>
+<td align="right">0.0000020</td>
+<td align="right">0.9999980</td>
 <td align="right">0.0000000</td>
-<td align="right">0.0064390</td>
-<td align="right">0.9935610</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
-<td align="right">6</td>
-<td align="right">4</td>
-<td align="right">31</td>
-<td align="right">0.000</td>
-<td align="right">7.850000</td>
-<td align="right">20</td>
 <td align="right">0</td>
-<td align="right">0.1666667</td>
+<td align="right">0.0800000</td>
 <td align="right">1.00</td>
+<td align="right">6</td>
+<td align="right">6</td>
+<td align="right">22</td>
+<td align="right">0.000000</td>
+<td align="right">5.826087</td>
+<td align="right">69</td>
 <td align="right">0.0000000</td>
-<td align="right">0.001</td>
+<td align="right">0.000</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
-<td align="right">0.0064390</td>
-<td align="right">0.9935610</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0005</td>
+<td align="right">0</td>
+<td align="right">0.0000000</td>
+<td align="right">0.00</td>
 <td align="right">1</td>
 <td align="right">1</td>
 <td align="right">30</td>
-<td align="right">2.000</td>
-<td align="right">7.555556</td>
-<td align="right">27</td>
-<td align="right">0</td>
+<td align="right">7.000000</td>
+<td align="right">8.035714</td>
+<td align="right">28</td>
+<td align="right">0.8579445</td>
+<td align="right">0.527</td>
+<td align="right">1.0000000</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.00</td>
-<td align="right">0.0377761</td>
-<td align="right">0.031</td>
-<td align="right">0.1445345</td>
-<td align="right">0.8554655</td>
-<td align="right">0.0818400</td>
-<td align="right">0.9181600</td>
 </tr>
 </tbody>
 </table>
@@ -2035,31 +1987,31 @@ <h2 id="portfolio-performance">Portfolio Performance<a class="anchor" aria-label
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">0.00</td>
-<td align="right">0.0000000</td>
+<td align="right">0.1954286</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">0.10</td>
-<td align="right">0.0000000</td>
+<td align="right">0.2608000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">0.25</td>
-<td align="right">0.0000000</td>
+<td align="right">0.5600000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">0.50</td>
-<td align="right">0.6277303</td>
+<td align="right">0.7360000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">0.75</td>
-<td align="right">0.9355349</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
@@ -2071,37 +2023,37 @@ <h2 id="portfolio-performance">Portfolio Performance<a class="anchor" aria-label
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">0.00</td>
-<td align="right">0.5311250</td>
+<td align="right">0.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">0.10</td>
-<td align="right">0.7152000</td>
+<td align="right">0.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">0.25</td>
-<td align="right">0.8150073</td>
+<td align="right">0.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">0.50</td>
-<td align="right">0.9271724</td>
+<td align="right">0.1920000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">0.75</td>
-<td align="right">0.9736000</td>
+<td align="right">0.7360000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0002</td>
 <td align="right">1.00</td>
-<td align="right">0.9736000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -2113,19 +2065,19 @@ <h2 id="portfolio-performance">Portfolio Performance<a class="anchor" aria-label
 <td align="left">0001</td>
 <td align="left">0003</td>
 <td align="right">0.10</td>
-<td align="right">0.0000000</td>
+<td align="right">0.2685000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0003</td>
 <td align="right">0.25</td>
-<td align="right">0.4282146</td>
+<td align="right">0.2960000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0003</td>
 <td align="right">0.50</td>
-<td align="right">0.8636721</td>
+<td align="right">0.6920000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
@@ -2143,43 +2095,43 @@ <h2 id="portfolio-performance">Portfolio Performance<a class="anchor" aria-label
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">0.00</td>
-<td align="right">0.4282146</td>
+<td align="right">0.1737778</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">0.10</td>
-<td align="right">0.6495172</td>
+<td align="right">0.2960000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">0.25</td>
-<td align="right">0.8556250</td>
+<td align="right">0.6920000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">0.50</td>
-<td align="right">0.9736000</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">0.75</td>
-<td align="right">0.9935610</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0004</td>
 <td align="right">1.00</td>
-<td align="right">0.9935610</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0005</td>
 <td align="right">0.00</td>
-<td align="right">0.9181600</td>
+<td align="right">0.0000000</td>
 </tr>
 </tbody>
 </table>
@@ -2235,63 +2187,63 @@ <h2 id="portfolio-performance">Portfolio Performance<a class="anchor" aria-label
 <tbody>
 <tr class="odd">
 <td align="right">0.00</td>
-<td align="right">15459</td>
-<td align="right">215</td>
+<td align="right">15662</td>
+<td align="right">12</td>
 <td align="right">15674</td>
-<td align="right">0.014</td>
+<td align="right">0.001</td>
 <td align="left">fpr</td>
-<td align="right">0.012</td>
-<td align="right">0.016</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="even">
 <td align="right">0.10</td>
-<td align="right">14709</td>
-<td align="right">965</td>
+<td align="right">15601</td>
+<td align="right">73</td>
 <td align="right">15674</td>
-<td align="right">0.062</td>
+<td align="right">0.005</td>
 <td align="left">tpr</td>
-<td align="right">0.058</td>
-<td align="right">0.065</td>
+<td align="right">0.004</td>
+<td align="right">0.006</td>
 </tr>
 <tr class="odd">
 <td align="right">0.25</td>
-<td align="right">12338</td>
-<td align="right">3336</td>
+<td align="right">14874</td>
+<td align="right">800</td>
 <td align="right">15674</td>
-<td align="right">0.213</td>
+<td align="right">0.051</td>
 <td align="left">tpr</td>
-<td align="right">0.206</td>
-<td align="right">0.219</td>
+<td align="right">0.048</td>
+<td align="right">0.055</td>
 </tr>
 <tr class="even">
 <td align="right">0.50</td>
-<td align="right">7944</td>
-<td align="right">7730</td>
+<td align="right">11496</td>
+<td align="right">4178</td>
 <td align="right">15674</td>
-<td align="right">0.493</td>
+<td align="right">0.267</td>
 <td align="left">tpr</td>
-<td align="right">0.485</td>
-<td align="right">0.501</td>
+<td align="right">0.260</td>
+<td align="right">0.274</td>
 </tr>
 <tr class="odd">
 <td align="right">0.75</td>
-<td align="right">4783</td>
-<td align="right">10891</td>
+<td align="right">8172</td>
+<td align="right">7502</td>
 <td align="right">15674</td>
-<td align="right">0.695</td>
+<td align="right">0.479</td>
 <td align="left">tpr</td>
-<td align="right">0.688</td>
-<td align="right">0.702</td>
+<td align="right">0.471</td>
+<td align="right">0.486</td>
 </tr>
 <tr class="even">
 <td align="right">1.00</td>
-<td align="right">3567</td>
-<td align="right">12107</td>
+<td align="right">6467</td>
+<td align="right">9207</td>
 <td align="right">15674</td>
-<td align="right">0.772</td>
+<td align="right">0.587</td>
 <td align="left">tpr</td>
-<td align="right">0.766</td>
-<td align="right">0.779</td>
+<td align="right">0.580</td>
+<td align="right">0.595</td>
 </tr>
 </tbody>
 </table>
@@ -3069,19 +3021,19 @@ <h3 id="effect-of-adjusting-visit_med75">Effect of Adjusting visit_med75<a class
 <span><span class="va">df_scen_old_visit_med75</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<table class="table">
+<table style="width:100%;" class="table">
 <colgroup>
 <col width="3%">
 <col width="5%">
+<col width="6%">
+<col width="7%">
+<col width="3%">
 <col width="2%">
 <col width="7%">
 <col width="5%">
 <col width="8%">
 <col width="8%">
 <col width="10%">
-<col width="6%">
-<col width="7%">
-<col width="3%">
 <col width="4%">
 <col width="3%">
 <col width="4%">
@@ -3092,15 +3044,15 @@ <h3 id="effect-of-adjusting-visit_med75">Effect of Adjusting visit_med75<a class
 <thead><tr class="header">
 <th align="left">study_id</th>
 <th align="left">site_number</th>
+<th align="right">extra_ur_sites</th>
+<th align="right">frac_pat_with_ur</th>
+<th align="right">ur_rate</th>
 <th align="right">n_pat</th>
 <th align="right">n_pat_with_med75</th>
 <th align="right">visit_med75</th>
 <th align="right">mean_ae_site_med75</th>
 <th align="right">mean_ae_study_med75</th>
 <th align="right">n_pat_with_med75_study</th>
-<th align="right">extra_ur_sites</th>
-<th align="right">frac_pat_with_ur</th>
-<th align="right">ur_rate</th>
 <th align="right">pval</th>
 <th align="right">prob_low</th>
 <th align="right">pval_adj</th>
@@ -3112,477 +3064,477 @@ <h3 id="effect-of-adjusting-visit_med75">Effect of Adjusting visit_med75<a class
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">2</td>
-<td align="right">17</td>
-<td align="right">5.00</td>
-<td align="right">4.707547</td>
-<td align="right">106</td>
 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
-<td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">17</td>
+<td align="right">2.0</td>
+<td align="right">4.570093</td>
+<td align="right">107</td>
+<td align="right">0.0933704</td>
+<td align="right">0.032</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.3520000</td>
+<td align="right">0.6480000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">0</td>
+<td align="right">0.0183486</td>
+<td align="right">0.10</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">4.50</td>
-<td align="right">4.707547</td>
-<td align="right">106</td>
-<td align="right">0</td>
-<td align="right">0.0185185</td>
-<td align="right">0.10</td>
+<td align="right">1.8</td>
+<td align="right">4.570093</td>
+<td align="right">107</td>
 <td align="right">1.0000000</td>
-<td align="right">0.563</td>
+<td align="right">0.013</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.6299688</td>
-<td align="right">0.3700312</td>
+<td align="right">0.1906667</td>
+<td align="right">0.8093333</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">0</td>
+<td align="right">0.0183486</td>
+<td align="right">0.25</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">3.75</td>
-<td align="right">4.707547</td>
-<td align="right">106</td>
-<td align="right">0</td>
-<td align="right">0.0185185</td>
-<td align="right">0.25</td>
-<td align="right">1.0000000</td>
-<td align="right">0.318</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
-<td align="right">0.4065155</td>
-<td align="right">0.5934845</td>
+<td align="right">1.5</td>
+<td align="right">4.570093</td>
+<td align="right">107</td>
+<td align="right">0.0415023</td>
+<td align="right">0.013</td>
+<td align="right">0.6087005</td>
+<td align="right">0.3912995</td>
+<td align="right">0.1906667</td>
+<td align="right">0.8093333</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">0</td>
+<td align="right">0.0183486</td>
+<td align="right">0.50</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">2.50</td>
-<td align="right">4.707547</td>
-<td align="right">106</td>
-<td align="right">0</td>
-<td align="right">0.0185185</td>
-<td align="right">0.50</td>
-<td align="right">0.1847070</td>
-<td align="right">0.103</td>
-<td align="right">0.7498223</td>
-<td align="right">0.2501777</td>
-<td align="right">0.1953992</td>
-<td align="right">0.8046008</td>
+<td align="right">1.0</td>
+<td align="right">4.570093</td>
+<td align="right">107</td>
+<td align="right">0.0108238</td>
+<td align="right">0.003</td>
+<td align="right">0.2966466</td>
+<td align="right">0.7033534</td>
+<td align="right">0.0880000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">0</td>
+<td align="right">0.0183486</td>
+<td align="right">0.75</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
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-<td align="right">4.707547</td>
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+<td align="right">0.0918333</td>
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 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">0</td>
+<td align="right">0.0183486</td>
+<td align="right">1.00</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">0.00</td>
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-<td align="right">0</td>
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-<td align="right">0.0001700</td>
+<td align="right">0.0</td>
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+<td align="right">107</td>
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 <td align="right">0.000</td>
-<td align="right">0.0017703</td>
-<td align="right">0.9982297</td>
+<td align="right">0.0113519</td>
+<td align="right">0.9886481</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.0410759</td>
+<td align="right">0.10</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">4.50</td>
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-<td align="right">106</td>
-<td align="right">1</td>
-<td align="right">0.0412458</td>
-<td align="right">0.10</td>
+<td align="right">1.8</td>
+<td align="right">4.561682</td>
+<td align="right">107</td>
 <td align="right">1.0000000</td>
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+<td align="right">0.1906667</td>
+<td align="right">0.8093333</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.0410759</td>
+<td align="right">0.25</td>
 <td align="right">2</td>
 <td align="right">2</td>
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-<td align="right">0.0412458</td>
-<td align="right">0.25</td>
+<td align="right">1.5</td>
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 <td align="right">1.0000000</td>
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 <td align="right">1.0000000</td>
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-<td align="right">0.4135261</td>
-<td align="right">0.5864739</td>
+<td align="right">0.1906667</td>
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 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.0410759</td>
+<td align="right">0.50</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">2.50</td>
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-<td align="right">0.0412458</td>
-<td align="right">0.50</td>
-<td align="right">0.1844486</td>
-<td align="right">0.114</td>
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-<td align="right">0.2501777</td>
-<td align="right">0.2062281</td>
-<td align="right">0.7937719</td>
+<td align="right">1.0</td>
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+<td align="right">107</td>
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+<td align="right">1.0000000</td>
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+<td align="right">0.0880000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.0410759</td>
+<td align="right">0.75</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">1.25</td>
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-<td align="right">106</td>
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-<td align="right">0.75</td>
+<td align="right">0.5</td>
+<td align="right">4.507009</td>
+<td align="right">107</td>
 <td align="right">1.0000000</td>
-<td align="right">0.004</td>
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-<td align="right">0.0220000</td>
-<td align="right">0.9780000</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">1</td>
+<td align="right">0.0410759</td>
+<td align="right">1.00</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">0.00</td>
-<td align="right">4.650943</td>
-<td align="right">106</td>
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-<td align="right">0.0412458</td>
-<td align="right">1.00</td>
-<td align="right">0.0001673</td>
+<td align="right">0.0</td>
+<td align="right">4.485981</td>
+<td align="right">107</td>
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-<td align="right">0.0017703</td>
-<td align="right">0.9982297</td>
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-<td align="right">0.9923799</td>
+<td align="right">0.0108502</td>
+<td align="right">0.9891498</td>
+<td align="right">0.0440000</td>
+<td align="right">0.9560000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
+<td align="right">0.0638032</td>
+<td align="right">0.10</td>
 <td align="right">2</td>
-<td align="right">17</td>
-<td align="right">4.50</td>
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-<td align="right">106</td>
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-<td align="right">0.0639731</td>
-<td align="right">0.10</td>
+<td align="right">17</td>
+<td align="right">1.8</td>
+<td align="right">4.550467</td>
+<td align="right">107</td>
 <td align="right">1.0000000</td>
-<td align="right">0.563</td>
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-<td align="right">0.6299688</td>
-<td align="right">0.3700312</td>
+<td align="right">0.2053333</td>
+<td align="right">0.7946667</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
+<td align="right">0.0638032</td>
+<td align="right">0.25</td>
 <td align="right">2</td>
-<td align="right">17</td>
-<td align="right">3.75</td>
-<td align="right">4.672170</td>
-<td align="right">106</td>
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-<td align="right">0.0639731</td>
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+<td align="right">17</td>
+<td align="right">1.5</td>
+<td align="right">4.521028</td>
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-<td align="right">0.335</td>
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 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
+<td align="right">0.0638032</td>
+<td align="right">0.50</td>
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-<td align="right">17</td>
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-<td align="right">0.127</td>
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 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
+<td align="right">0.0638032</td>
+<td align="right">0.75</td>
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-<td align="right">17</td>
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-<td align="right">4.601415</td>
-<td align="right">106</td>
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-<td align="right">0.0639731</td>
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+<td align="right">17</td>
+<td align="right">0.5</td>
+<td align="right">4.422897</td>
+<td align="right">107</td>
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-<td align="right">0.011</td>
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+<td align="right">0.9560000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
+<td align="right">0.0638032</td>
+<td align="right">1.00</td>
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-<td align="right">17</td>
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+<td align="right">17</td>
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+<td align="right">4.373832</td>
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-<td align="right">0.0025559</td>
-<td align="right">0.9974441</td>
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-<td align="right">0.9745522</td>
+<td align="right">0.0165706</td>
+<td align="right">0.9834294</td>
+<td align="right">0.1100000</td>
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 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.0865304</td>
+<td align="right">0.10</td>
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-<td align="right">106</td>
-<td align="right">3</td>
-<td align="right">0.0867003</td>
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+<td align="right">107</td>
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-<td align="right">0.3700312</td>
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+<td align="right">0.7946667</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.0865304</td>
+<td align="right">0.25</td>
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-<td align="right">3.75</td>
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-<td align="right">106</td>
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-<td align="right">0.339</td>
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+<td align="right">0.6021598</td>
+<td align="right">0.3978402</td>
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+<td align="right">0.7946667</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.0865304</td>
+<td align="right">0.50</td>
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-<td align="right">2.50</td>
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-<td align="right">106</td>
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-<td align="right">0.0790534</td>
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+<td align="right">107</td>
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+<td align="right">0.004</td>
+<td align="right">0.2966466</td>
+<td align="right">0.7033534</td>
+<td align="right">0.0880000</td>
+<td align="right">0.9120000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.0865304</td>
+<td align="right">0.75</td>
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+<td align="right">4.373832</td>
+<td align="right">107</td>
+<td align="right">0.0029791</td>
+<td align="right">0.001</td>
+<td align="right">0.1310801</td>
+<td align="right">0.8689199</td>
+<td align="right">0.0440000</td>
+<td align="right">0.9560000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">3</td>
+<td align="right">0.0865304</td>
+<td align="right">1.00</td>
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 <td align="right">2</td>
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-<td align="right">106</td>
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+<td align="right">4.308411</td>
+<td align="right">107</td>
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+<td align="right">0.9840311</td>
+<td align="right">0.1540000</td>
+<td align="right">0.8460000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">0.1092577</td>
+<td align="right">0.10</td>
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 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">0.1092577</td>
+<td align="right">0.25</td>
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-<td align="right">0.1094276</td>
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 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">0.1092577</td>
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 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
+<td align="right">4</td>
+<td align="right">0.1092577</td>
+<td align="right">0.75</td>
 <td align="right">2</td>
 <td align="right">2</td>
 <td align="right">17</td>
-<td align="right">1.25</td>
-<td align="right">4.459906</td>
-<td align="right">106</td>
-<td align="right">4</td>
-<td align="right">0.1094276</td>
-<td align="right">0.75</td>
+<td align="right">0.5</td>
+<td align="right">4.296729</td>
+<td align="right">107</td>
 <td align="right">1.0000000</td>
-<td align="right">0.019</td>
+<td align="right">0.001</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.0621487</td>
-<td align="right">0.9378513</td>
+<td align="right">0.0440000</td>
+<td align="right">0.9560000</td>
 </tr>
 </tbody>
 </table>
@@ -3608,19 +3560,21 @@ <h3 id="effect-of-adjusting-visit_med75">Effect of Adjusting visit_med75<a class
 <span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span>digits <span class="op">=</span> <span class="fl">3</span><span class="op">)</span></span></code></pre></div>
 <table style="width:100%;" class="table">
 <colgroup>
-<col width="10%">
-<col width="16%">
+<col width="9%">
 <col width="14%">
+<col width="13%">
 <col width="10%">
-<col width="8%">
-<col width="14%">
-<col width="12%">
+<col width="9%">
+<col width="7%">
 <col width="13%">
+<col width="10%">
+<col width="11%">
 </colgroup>
 <thead><tr class="header">
 <th align="right">ur_rate</th>
 <th align="right">is_ur_FALSE</th>
 <th align="right">is_ur_TRUE</th>
+<th align="right">is_ur_NA</th>
 <th align="right">n_sites</th>
 <th align="right">ratio</th>
 <th align="left">ratio_type</th>
@@ -3630,63 +3584,69 @@ <h3 id="effect-of-adjusting-visit_med75">Effect of Adjusting visit_med75<a class
 <tbody>
 <tr class="odd">
 <td align="right">0.00</td>
-<td align="right">15483</td>
-<td align="right">191</td>
-<td align="right">15674</td>
-<td align="right">0.012</td>
+<td align="right">15662</td>
+<td align="right">8</td>
+<td align="right">4</td>
+<td align="right">15670</td>
+<td align="right">0.001</td>
 <td align="left">fpr</td>
-<td align="right">0.011</td>
-<td align="right">0.014</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="even">
 <td align="right">0.10</td>
-<td align="right">89434</td>
-<td align="right">4610</td>
-<td align="right">94044</td>
-<td align="right">0.049</td>
+<td align="right">93680</td>
+<td align="right">340</td>
+<td align="right">24</td>
+<td align="right">94020</td>
+<td align="right">0.004</td>
 <td align="left">tpr</td>
-<td align="right">0.048</td>
-<td align="right">0.050</td>
+<td align="right">0.003</td>
+<td align="right">0.004</td>
 </tr>
 <tr class="odd">
 <td align="right">0.25</td>
-<td align="right">78146</td>
-<td align="right">15898</td>
-<td align="right">94044</td>
-<td align="right">0.169</td>
+<td align="right">90404</td>
+<td align="right">3616</td>
+<td align="right">24</td>
+<td align="right">94020</td>
+<td align="right">0.038</td>
 <td align="left">tpr</td>
-<td align="right">0.167</td>
-<td align="right">0.171</td>
+<td align="right">0.037</td>
+<td align="right">0.040</td>
 </tr>
 <tr class="even">
 <td align="right">0.50</td>
-<td align="right">54906</td>
-<td align="right">39138</td>
-<td align="right">94044</td>
-<td align="right">0.416</td>
+<td align="right">74704</td>
+<td align="right">19316</td>
+<td align="right">24</td>
+<td align="right">94020</td>
+<td align="right">0.205</td>
 <td align="left">tpr</td>
-<td align="right">0.413</td>
-<td align="right">0.419</td>
+<td align="right">0.203</td>
+<td align="right">0.208</td>
 </tr>
 <tr class="odd">
 <td align="right">0.75</td>
-<td align="right">37642</td>
-<td align="right">56402</td>
-<td align="right">94044</td>
-<td align="right">0.600</td>
+<td align="right">57340</td>
+<td align="right">36680</td>
+<td align="right">24</td>
+<td align="right">94020</td>
+<td align="right">0.390</td>
 <td align="left">tpr</td>
-<td align="right">0.597</td>
-<td align="right">0.603</td>
+<td align="right">0.387</td>
+<td align="right">0.393</td>
 </tr>
 <tr class="even">
 <td align="right">1.00</td>
-<td align="right">33631</td>
-<td align="right">60413</td>
-<td align="right">94044</td>
-<td align="right">0.642</td>
+<td align="right">49050</td>
+<td align="right">44970</td>
+<td align="right">24</td>
+<td align="right">94020</td>
+<td align="right">0.478</td>
 <td align="left">tpr</td>
-<td align="right">0.639</td>
-<td align="right">0.645</td>
+<td align="right">0.475</td>
+<td align="right">0.482</td>
 </tr>
 </tbody>
 </table>
@@ -3754,19 +3714,19 @@ <h3 id="days-vs--visits">Days vs. Visits<a class="anchor" aria-label="anchor" h
 <span><span class="va">df_scen_days</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="fl">25</span><span class="op">)</span> <span class="op"><a href="../reference/pipe.html">%&gt;%</a></span></span>
 <span>  <span class="fu">knitr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/knitr/man/kable.html" class="external-link">kable</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
-<table class="table">
+<table style="width:100%;" class="table">
 <colgroup>
 <col width="3%">
 <col width="5%">
+<col width="6%">
+<col width="7%">
+<col width="3%">
 <col width="2%">
 <col width="7%">
 <col width="5%">
 <col width="8%">
 <col width="8%">
 <col width="10%">
-<col width="6%">
-<col width="7%">
-<col width="3%">
 <col width="4%">
 <col width="3%">
 <col width="4%">
@@ -3777,15 +3737,15 @@ <h3 id="days-vs--visits">Days vs. Visits<a class="anchor" aria-label="anchor" h
 <thead><tr class="header">
 <th align="left">study_id</th>
 <th align="left">site_number</th>
+<th align="right">extra_ur_sites</th>
+<th align="right">frac_pat_with_ur</th>
+<th align="right">ur_rate</th>
 <th align="right">n_pat</th>
 <th align="right">n_pat_with_med75</th>
 <th align="right">visit_med75</th>
 <th align="right">mean_ae_site_med75</th>
 <th align="right">mean_ae_study_med75</th>
 <th align="right">n_pat_with_med75_study</th>
-<th align="right">extra_ur_sites</th>
-<th align="right">frac_pat_with_ur</th>
-<th align="right">ur_rate</th>
 <th align="right">pval</th>
 <th align="right">prob_low</th>
 <th align="right">pval_adj</th>
@@ -3797,17 +3757,17 @@ <h3 id="days-vs--visits">Days vs. Visits<a class="anchor" aria-label="anchor" h
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">7.00</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
 <td align="right">0.0000000</td>
 <td align="right">0.00</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">5.00</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
+<td align="right">0.517</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
 <td align="right">1.0000000</td>
@@ -3816,458 +3776,458 @@ <h3 id="days-vs--visits">Days vs. Visits<a class="anchor" aria-label="anchor" h
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">6.30</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
-<td align="right">0.0142857</td>
+<td align="right">0.0294118</td>
 <td align="right">0.10</td>
-<td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">4.50</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
+<td align="right">0.7553363</td>
+<td align="right">0.397</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.9704444</td>
+<td align="right">0.0295556</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">5.25</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
-<td align="right">0.0142857</td>
+<td align="right">0.0294118</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">3.75</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.174</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.7656000</td>
+<td align="right">0.2344000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">3.50</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
-<td align="right">0.0142857</td>
+<td align="right">0.0294118</td>
 <td align="right">0.50</td>
-<td align="right">1.0000000</td>
-<td align="right">0.314</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">2.50</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
+<td align="right">0.0853088</td>
+<td align="right">0.041</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.4922943</td>
-<td align="right">0.5077057</td>
+<td align="right">0.3153333</td>
+<td align="right">0.6846667</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">1.75</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
-<td align="right">0.0142857</td>
+<td align="right">0.0294118</td>
 <td align="right">0.75</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">1.25</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.086</td>
+<td align="right">0.005</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.2225882</td>
-<td align="right">0.7774118</td>
+<td align="right">0.1540000</td>
+<td align="right">0.8460000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">0.00</td>
-<td align="right">5.057971</td>
-<td align="right">69</td>
 <td align="right">0</td>
-<td align="right">0.0142857</td>
+<td align="right">0.0294118</td>
 <td align="right">1.00</td>
-<td align="right">0.0115864</td>
-<td align="right">0.012</td>
-<td align="right">0.0763468</td>
-<td align="right">0.9236532</td>
-<td align="right">0.0798996</td>
-<td align="right">0.9201004</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">0.00</td>
+<td align="right">5.363636</td>
+<td align="right">66</td>
+<td align="right">0.0000499</td>
+<td align="right">0.000</td>
+<td align="right">0.0021950</td>
+<td align="right">0.9978050</td>
+<td align="right">0.0000000</td>
+<td align="right">1.0000000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">6.30</td>
-<td align="right">5.042029</td>
-<td align="right">69</td>
 <td align="right">1</td>
-<td align="right">0.0445887</td>
+<td align="right">0.0571895</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">4.50</td>
+<td align="right">5.340909</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.399</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.9753333</td>
+<td align="right">0.0246667</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">5.25</td>
-<td align="right">5.018116</td>
-<td align="right">69</td>
 <td align="right">1</td>
-<td align="right">0.0445887</td>
+<td align="right">0.0571895</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">3.75</td>
+<td align="right">5.306818</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.180</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.7920000</td>
+<td align="right">0.2080000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">3.50</td>
-<td align="right">4.978261</td>
-<td align="right">69</td>
 <td align="right">1</td>
-<td align="right">0.0445887</td>
+<td align="right">0.0571895</td>
 <td align="right">0.50</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">2.50</td>
+<td align="right">5.250000</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.345</td>
+<td align="right">0.047</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5323303</td>
-<td align="right">0.4676697</td>
+<td align="right">0.3446667</td>
+<td align="right">0.6553333</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
 <td align="right">1</td>
-<td align="right">680</td>
-<td align="right">1.75</td>
-<td align="right">4.938406</td>
-<td align="right">69</td>
-<td align="right">1</td>
-<td align="right">0.0445887</td>
+<td align="right">0.0571895</td>
 <td align="right">0.75</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">1.25</td>
+<td align="right">5.193182</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.117</td>
+<td align="right">0.008</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.2633465</td>
-<td align="right">0.7366535</td>
+<td align="right">0.1760000</td>
+<td align="right">0.8240000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">0.00</td>
-<td align="right">4.898551</td>
-<td align="right">69</td>
 <td align="right">1</td>
-<td align="right">0.0445887</td>
+<td align="right">0.0571895</td>
 <td align="right">1.00</td>
-<td align="right">0.0180113</td>
-<td align="right">0.043</td>
-<td align="right">0.1138819</td>
-<td align="right">0.8861181</td>
-<td align="right">0.1413301</td>
-<td align="right">0.8586699</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">0.00</td>
+<td align="right">5.136364</td>
+<td align="right">66</td>
+<td align="right">0.0000723</td>
+<td align="right">0.003</td>
+<td align="right">0.0031792</td>
+<td align="right">0.9968208</td>
+<td align="right">0.1320000</td>
+<td align="right">0.8680000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">6.30</td>
-<td align="right">5.020290</td>
-<td align="right">69</td>
-<td align="right">2</td>
-<td align="right">0.0748918</td>
+<td align="right">0.0849673</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">4.50</td>
+<td align="right">5.319697</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.399</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.9753333</td>
+<td align="right">0.0246667</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">5.25</td>
-<td align="right">4.963768</td>
-<td align="right">69</td>
-<td align="right">2</td>
-<td align="right">0.0748918</td>
+<td align="right">0.0849673</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">3.75</td>
+<td align="right">5.253788</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.181</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.7964000</td>
+<td align="right">0.2036000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">3.50</td>
-<td align="right">4.869565</td>
-<td align="right">69</td>
-<td align="right">2</td>
-<td align="right">0.0748918</td>
+<td align="right">0.0849673</td>
 <td align="right">0.50</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">2.50</td>
+<td align="right">5.143939</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.360</td>
+<td align="right">0.050</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5419868</td>
-<td align="right">0.4580132</td>
+<td align="right">0.3666667</td>
+<td align="right">0.6333333</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">1.75</td>
-<td align="right">4.775362</td>
-<td align="right">69</td>
-<td align="right">2</td>
-<td align="right">0.0748918</td>
+<td align="right">0.0849673</td>
 <td align="right">0.75</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">1.25</td>
+<td align="right">5.034091</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.132</td>
+<td align="right">0.010</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.2813250</td>
-<td align="right">0.7186750</td>
+<td align="right">0.2200000</td>
+<td align="right">0.7800000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
 <td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">0.00</td>
-<td align="right">4.681159</td>
-<td align="right">69</td>
-<td align="right">2</td>
-<td align="right">0.0748918</td>
+<td align="right">0.0849673</td>
 <td align="right">1.00</td>
-<td align="right">0.0170755</td>
-<td align="right">0.071</td>
-<td align="right">0.1100934</td>
-<td align="right">0.8899066</td>
-<td align="right">0.1980450</td>
-<td align="right">0.8019550</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">0.00</td>
+<td align="right">4.924242</td>
+<td align="right">66</td>
+<td align="right">0.0001056</td>
+<td align="right">0.008</td>
+<td align="right">0.0046481</td>
+<td align="right">0.9953519</td>
+<td align="right">0.1760000</td>
+<td align="right">0.8240000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">6.30</td>
-<td align="right">4.998551</td>
-<td align="right">69</td>
 <td align="right">3</td>
-<td align="right">0.1051948</td>
+<td align="right">0.1127451</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">4.50</td>
+<td align="right">5.309091</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.400</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.9777778</td>
+<td align="right">0.0222222</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">5.25</td>
-<td align="right">4.909420</td>
-<td align="right">69</td>
 <td align="right">3</td>
-<td align="right">0.1051948</td>
+<td align="right">0.1127451</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">3.75</td>
+<td align="right">5.227273</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.192</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.8280000</td>
+<td align="right">0.1720000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">3.50</td>
-<td align="right">4.760870</td>
-<td align="right">69</td>
 <td align="right">3</td>
-<td align="right">0.1051948</td>
+<td align="right">0.1127451</td>
 <td align="right">0.50</td>
-<td align="right">1.0000000</td>
-<td align="right">0.378</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">2.50</td>
+<td align="right">5.090909</td>
+<td align="right">66</td>
+<td align="right">0.1451010</td>
+<td align="right">0.058</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5549968</td>
-<td align="right">0.4450032</td>
+<td align="right">0.4235000</td>
+<td align="right">0.5765000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">1.75</td>
-<td align="right">4.612319</td>
-<td align="right">69</td>
 <td align="right">3</td>
-<td align="right">0.1051948</td>
+<td align="right">0.1127451</td>
 <td align="right">0.75</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">1.25</td>
+<td align="right">4.954546</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.150</td>
+<td align="right">0.014</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.3062874</td>
-<td align="right">0.6937126</td>
+<td align="right">0.3080000</td>
+<td align="right">0.6920000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">0.00</td>
-<td align="right">4.463768</td>
-<td align="right">69</td>
 <td align="right">3</td>
-<td align="right">0.1051948</td>
+<td align="right">0.1127451</td>
 <td align="right">1.00</td>
-<td align="right">0.0260996</td>
-<td align="right">0.100</td>
-<td align="right">0.1596408</td>
-<td align="right">0.8403592</td>
-<td align="right">0.2435714</td>
-<td align="right">0.7564286</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">0.00</td>
+<td align="right">4.818182</td>
+<td align="right">66</td>
+<td align="right">0.0001619</td>
+<td align="right">0.012</td>
+<td align="right">0.0071229</td>
+<td align="right">0.9928771</td>
+<td align="right">0.2640000</td>
+<td align="right">0.7360000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">6.30</td>
-<td align="right">4.979710</td>
-<td align="right">69</td>
 <td align="right">4</td>
-<td align="right">0.1354978</td>
+<td align="right">0.1405229</td>
 <td align="right">0.10</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">4.50</td>
+<td align="right">5.293939</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.401</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.9802222</td>
+<td align="right">0.0197778</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">5.25</td>
-<td align="right">4.862319</td>
-<td align="right">69</td>
 <td align="right">4</td>
-<td align="right">0.1354978</td>
+<td align="right">0.1405229</td>
 <td align="right">0.25</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">3.75</td>
+<td align="right">5.189394</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">1.000</td>
-<td align="right">1.0000000</td>
-<td align="right">0.0000000</td>
+<td align="right">0.207</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
+<td align="right">0.8280000</td>
+<td align="right">0.1720000</td>
 </tr>
 <tr class="even">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">3.50</td>
-<td align="right">4.666667</td>
-<td align="right">69</td>
 <td align="right">4</td>
-<td align="right">0.1354978</td>
+<td align="right">0.1405229</td>
 <td align="right">0.50</td>
-<td align="right">1.0000000</td>
-<td align="right">0.403</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">2.50</td>
+<td align="right">5.015151</td>
+<td align="right">66</td>
+<td align="right">0.1432160</td>
+<td align="right">0.068</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.5854015</td>
-<td align="right">0.4145985</td>
+<td align="right">0.4235000</td>
+<td align="right">0.5765000</td>
 </tr>
 <tr class="odd">
 <td align="left">0001</td>
 <td align="left">0001</td>
-<td align="right">2</td>
-<td align="right">1</td>
-<td align="right">680</td>
-<td align="right">1.75</td>
-<td align="right">4.471014</td>
-<td align="right">69</td>
 <td align="right">4</td>
-<td align="right">0.1354978</td>
+<td align="right">0.1405229</td>
 <td align="right">0.75</td>
+<td align="right">2</td>
+<td align="right">2</td>
+<td align="right">727</td>
+<td align="right">1.25</td>
+<td align="right">4.840909</td>
+<td align="right">66</td>
 <td align="right">1.0000000</td>
-<td align="right">0.175</td>
+<td align="right">0.021</td>
 <td align="right">1.0000000</td>
 <td align="right">0.0000000</td>
-<td align="right">0.3260929</td>
-<td align="right">0.6739071</td>
+<td align="right">0.3153333</td>
+<td align="right">0.6846667</td>
 </tr>
 </tbody>
 </table>
@@ -4315,63 +4275,63 @@ <h3 id="days-vs--visits">Days vs. Visits<a class="anchor" aria-label="anchor" h
 <tbody>
 <tr class="odd">
 <td align="right">0.00</td>
-<td align="right">15450</td>
-<td align="right">224</td>
-<td align="right">15674</td>
-<td align="right">0.014</td>
+<td align="right">14441</td>
+<td align="right">7</td>
+<td align="right">14448</td>
+<td align="right">0.000</td>
 <td align="left">fpr</td>
-<td align="right">0.013</td>
-<td align="right">0.016</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="even">
 <td align="right">0.10</td>
-<td align="right">87426</td>
-<td align="right">6618</td>
-<td align="right">94044</td>
-<td align="right">0.070</td>
+<td align="right">86141</td>
+<td align="right">547</td>
+<td align="right">86688</td>
+<td align="right">0.006</td>
 <td align="left">tpr</td>
-<td align="right">0.069</td>
-<td align="right">0.072</td>
+<td align="right">0.006</td>
+<td align="right">0.007</td>
 </tr>
 <tr class="odd">
 <td align="right">0.25</td>
-<td align="right">72046</td>
-<td align="right">21998</td>
-<td align="right">94044</td>
-<td align="right">0.234</td>
+<td align="right">80821</td>
+<td align="right">5867</td>
+<td align="right">86688</td>
+<td align="right">0.068</td>
 <td align="left">tpr</td>
-<td align="right">0.231</td>
-<td align="right">0.237</td>
+<td align="right">0.066</td>
+<td align="right">0.069</td>
 </tr>
 <tr class="even">
 <td align="right">0.50</td>
-<td align="right">50373</td>
-<td align="right">43671</td>
-<td align="right">94044</td>
-<td align="right">0.464</td>
+<td align="right">66036</td>
+<td align="right">20652</td>
+<td align="right">86688</td>
+<td align="right">0.238</td>
 <td align="left">tpr</td>
-<td align="right">0.461</td>
-<td align="right">0.468</td>
+<td align="right">0.235</td>
+<td align="right">0.241</td>
 </tr>
 <tr class="odd">
 <td align="right">0.75</td>
-<td align="right">38042</td>
-<td align="right">56002</td>
-<td align="right">94044</td>
-<td align="right">0.595</td>
+<td align="right">54199</td>
+<td align="right">32489</td>
+<td align="right">86688</td>
+<td align="right">0.375</td>
 <td align="left">tpr</td>
-<td align="right">0.592</td>
-<td align="right">0.599</td>
+<td align="right">0.372</td>
+<td align="right">0.378</td>
 </tr>
 <tr class="even">
 <td align="right">1.00</td>
-<td align="right">37942</td>
-<td align="right">56102</td>
-<td align="right">94044</td>
-<td align="right">0.597</td>
+<td align="right">51520</td>
+<td align="right">35168</td>
+<td align="right">86688</td>
+<td align="right">0.406</td>
 <td align="left">tpr</td>
-<td align="right">0.593</td>
-<td align="right">0.600</td>
+<td align="right">0.402</td>
+<td align="right">0.409</td>
 </tr>
 </tbody>
 </table>
@@ -4413,16 +4373,16 @@ <h3 id="heuristic-rank">Heuristic Rank<a class="anchor" aria-label="anchor" href
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 15,674 × 6</span></span></span>
 <span><span class="co">##    study_id site_number visit  n_ae ae_per_visit ls_study_ae_per_visit</span></span>
 <span><span class="co">##    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>               </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 0001     0001           44     9        0.205 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 0001     0002           56    16        0.286 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 0001     0003           78    20        0.256 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 0001     0004          207    58        0.280 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> 0001     0001           44    13        0.295 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> 0001     0002           53    15        0.283 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> 0001     0003           74    19        0.257 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> 0001     0004          215    57        0.265 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 5</span> 0001     0005           30     9        0.3   <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
 <span><span class="co">## <span style="color: #BCBCBC;"> 6</span> 0001     0006           35    11        0.314 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 0001     0007           36    11        0.306 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 0001     0008          183    38        0.208 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 0001     0009           40     8        0.2   <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> 0001     0010          135    37        0.274 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> 0001     0007           36    14        0.389 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> 0001     0008          172    37        0.215 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> 0001     0009           40    19        0.475 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> 0001     0010          137    32        0.234 <span style="color: #949494;">&lt;dbl [43]&gt;</span>           </span></span>
 <span><span class="co">## <span style="color: #949494;"># ℹ 15,664 more rows</span></span></span></code></pre>
 <p>We write a function that: - determines how many sites should be
 flagged in a study - pools ae_per_visit rates and ranks sites (using
@@ -4478,11 +4438,11 @@ <h3 id="heuristic-rank">Heuristic Rank<a class="anchor" aria-label="anchor" href
 <pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 6 × 3</span></span></span>
 <span><span class="co">##   ur_rate ae_per_visit is_ur</span></span>
 <span><span class="co">##     <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">1</span>    0          0.205  FALSE</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">2</span>    0.1        0.184  FALSE</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">3</span>    0.25       0.153  FALSE</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">4</span>    0.5        0.102  TRUE </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">5</span>    0.75       0.051<span style="text-decoration: underline;">1</span> TRUE </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">1</span>    0          0.295  FALSE</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">2</span>    0.1        0.266  FALSE</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">3</span>    0.25       0.222  FALSE</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">4</span>    0.5        0.148  TRUE </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">5</span>    0.75       0.073<span style="text-decoration: underline;">9</span> TRUE </span></span>
 <span><span class="co">## <span style="color: #BCBCBC;">6</span>    1          0      TRUE</span></span></code></pre>
 <p>We apply.</p>
 <div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
@@ -4537,48 +4497,48 @@ <h3 id="heuristic-rank">Heuristic Rank<a class="anchor" aria-label="anchor" href
 <tbody>
 <tr class="odd">
 <td align="right">0.00</td>
-<td align="right">1541</td>
+<td align="right">1560</td>
 <td align="right">15674</td>
-<td align="right">0.098</td>
+<td align="right">0.100</td>
 <td align="left">fpr</td>
-<td align="right">0.094</td>
-<td align="right">0.103</td>
+<td align="right">0.095</td>
+<td align="right">0.104</td>
 </tr>
 <tr class="even">
 <td align="right">0.10</td>
-<td align="right">2096</td>
+<td align="right">2134</td>
 <td align="right">15674</td>
-<td align="right">0.134</td>
+<td align="right">0.136</td>
 <td align="left">tpr</td>
-<td align="right">0.128</td>
-<td align="right">0.139</td>
+<td align="right">0.131</td>
+<td align="right">0.142</td>
 </tr>
 <tr class="odd">
 <td align="right">0.25</td>
-<td align="right">4598</td>
+<td align="right">4716</td>
 <td align="right">15674</td>
-<td align="right">0.293</td>
-<td align="left">tpr</td>
-<td align="right">0.286</td>
 <td align="right">0.301</td>
+<td align="left">tpr</td>
+<td align="right">0.294</td>
+<td align="right">0.308</td>
 </tr>
 <tr class="even">
 <td align="right">0.50</td>
-<td align="right">11593</td>
+<td align="right">11753</td>
 <td align="right">15674</td>
-<td align="right">0.740</td>
+<td align="right">0.750</td>
 <td align="left">tpr</td>
-<td align="right">0.733</td>
-<td align="right">0.746</td>
+<td align="right">0.743</td>
+<td align="right">0.757</td>
 </tr>
 <tr class="odd">
 <td align="right">0.75</td>
-<td align="right">15164</td>
+<td align="right">15197</td>
 <td align="right">15674</td>
-<td align="right">0.967</td>
-<td align="left">tpr</td>
-<td align="right">0.965</td>
 <td align="right">0.970</td>
+<td align="left">tpr</td>
+<td align="right">0.967</td>
+<td align="right">0.972</td>
 </tr>
 <tr class="even">
 <td align="right">1.00</td>
@@ -4673,25 +4633,25 @@ <h3 id="heuristic-box-plot-outlier">Heuristic Box Plot Outlier<a class="anchor"
 <tbody>
 <tr class="odd">
 <td align="right">0.00</td>
-<td align="right">412</td>
+<td align="right">405</td>
 <td align="right">15674</td>
 <td align="right">0.026</td>
 <td align="left">fpr</td>
-<td align="right">0.024</td>
-<td align="right">0.029</td>
+<td align="right">0.023</td>
+<td align="right">0.028</td>
 </tr>
 <tr class="even">
 <td align="right">0.10</td>
-<td align="right">609</td>
+<td align="right">599</td>
 <td align="right">15674</td>
-<td align="right">0.039</td>
+<td align="right">0.038</td>
 <td align="left">tpr</td>
-<td align="right">0.036</td>
-<td align="right">0.042</td>
+<td align="right">0.035</td>
+<td align="right">0.041</td>
 </tr>
 <tr class="odd">
 <td align="right">0.25</td>
-<td align="right">1609</td>
+<td align="right">1612</td>
 <td align="right">15674</td>
 <td align="right">0.103</td>
 <td align="left">tpr</td>
@@ -4700,30 +4660,30 @@ <h3 id="heuristic-box-plot-outlier">Heuristic Box Plot Outlier<a class="anchor"
 </tr>
 <tr class="even">
 <td align="right">0.50</td>
-<td align="right">6628</td>
+<td align="right">6619</td>
 <td align="right">15674</td>
-<td align="right">0.423</td>
+<td align="right">0.422</td>
 <td align="left">tpr</td>
 <td align="right">0.415</td>
-<td align="right">0.431</td>
+<td align="right">0.430</td>
 </tr>
 <tr class="odd">
 <td align="right">0.75</td>
-<td align="right">10307</td>
+<td align="right">10754</td>
 <td align="right">15674</td>
-<td align="right">0.658</td>
+<td align="right">0.686</td>
 <td align="left">tpr</td>
-<td align="right">0.650</td>
-<td align="right">0.665</td>
+<td align="right">0.679</td>
+<td align="right">0.693</td>
 </tr>
 <tr class="even">
 <td align="right">1.00</td>
-<td align="right">12417</td>
+<td align="right">13408</td>
 <td align="right">15674</td>
-<td align="right">0.792</td>
+<td align="right">0.855</td>
 <td align="left">tpr</td>
-<td align="right">0.786</td>
-<td align="right">0.799</td>
+<td align="right">0.850</td>
+<td align="right">0.861</td>
 </tr>
 </tbody>
 </table>
@@ -4828,16 +4788,16 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="odd">
 <td align="left">fpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.012</td>
-<td align="right">0.011</td>
-<td align="right">0.014</td>
+<td align="right">0.001</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="even">
 <td align="left">fpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.014</td>
-<td align="right">0.013</td>
-<td align="right">0.016</td>
+<td align="right">0.000</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="odd">
 <td align="left">fpr</td>
@@ -4849,37 +4809,37 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">fpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.014</td>
-<td align="right">0.012</td>
-<td align="right">0.016</td>
+<td align="right">0.001</td>
+<td align="right">0.000</td>
+<td align="right">0.001</td>
 </tr>
 <tr class="odd">
 <td align="left">fpr</td>
 <td align="left">heuristic - rank</td>
-<td align="right">0.098</td>
-<td align="right">0.094</td>
-<td align="right">0.103</td>
+<td align="right">0.100</td>
+<td align="right">0.095</td>
+<td align="right">0.104</td>
 </tr>
 <tr class="even">
 <td align="left">fpr</td>
 <td align="left">heuristic - boxplot outlier</td>
 <td align="right">0.026</td>
-<td align="right">0.024</td>
-<td align="right">0.029</td>
+<td align="right">0.023</td>
+<td align="right">0.028</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.049</td>
-<td align="right">0.048</td>
-<td align="right">0.050</td>
+<td align="right">0.004</td>
+<td align="right">0.003</td>
+<td align="right">0.004</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.070</td>
-<td align="right">0.069</td>
-<td align="right">0.072</td>
+<td align="right">0.006</td>
+<td align="right">0.006</td>
+<td align="right">0.007</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
@@ -4891,37 +4851,37 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.062</td>
-<td align="right">0.058</td>
-<td align="right">0.065</td>
+<td align="right">0.005</td>
+<td align="right">0.004</td>
+<td align="right">0.006</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
 <td align="left">heuristic - rank</td>
-<td align="right">0.134</td>
-<td align="right">0.128</td>
-<td align="right">0.139</td>
+<td align="right">0.136</td>
+<td align="right">0.131</td>
+<td align="right">0.142</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.1 - tpr</td>
 <td align="left">heuristic - boxplot outlier</td>
-<td align="right">0.039</td>
-<td align="right">0.036</td>
-<td align="right">0.042</td>
+<td align="right">0.038</td>
+<td align="right">0.035</td>
+<td align="right">0.041</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.169</td>
-<td align="right">0.167</td>
-<td align="right">0.171</td>
+<td align="right">0.038</td>
+<td align="right">0.037</td>
+<td align="right">0.040</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.234</td>
-<td align="right">0.231</td>
-<td align="right">0.237</td>
+<td align="right">0.068</td>
+<td align="right">0.066</td>
+<td align="right">0.069</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
@@ -4933,16 +4893,16 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.213</td>
-<td align="right">0.206</td>
-<td align="right">0.219</td>
+<td align="right">0.051</td>
+<td align="right">0.048</td>
+<td align="right">0.055</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
 <td align="left">heuristic - rank</td>
-<td align="right">0.293</td>
-<td align="right">0.286</td>
 <td align="right">0.301</td>
+<td align="right">0.294</td>
+<td align="right">0.308</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.25 - tpr</td>
@@ -4954,16 +4914,16 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="odd">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.416</td>
-<td align="right">0.413</td>
-<td align="right">0.419</td>
+<td align="right">0.205</td>
+<td align="right">0.203</td>
+<td align="right">0.208</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.464</td>
-<td align="right">0.461</td>
-<td align="right">0.468</td>
+<td align="right">0.238</td>
+<td align="right">0.235</td>
+<td align="right">0.241</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
@@ -4975,37 +4935,37 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.493</td>
-<td align="right">0.485</td>
-<td align="right">0.501</td>
+<td align="right">0.267</td>
+<td align="right">0.260</td>
+<td align="right">0.274</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
 <td align="left">heuristic - rank</td>
-<td align="right">0.740</td>
-<td align="right">0.733</td>
-<td align="right">0.746</td>
+<td align="right">0.750</td>
+<td align="right">0.743</td>
+<td align="right">0.757</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.5 - tpr</td>
 <td align="left">heuristic - boxplot outlier</td>
-<td align="right">0.423</td>
+<td align="right">0.422</td>
 <td align="right">0.415</td>
-<td align="right">0.431</td>
+<td align="right">0.430</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.600</td>
-<td align="right">0.597</td>
-<td align="right">0.603</td>
+<td align="right">0.390</td>
+<td align="right">0.387</td>
+<td align="right">0.393</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.595</td>
-<td align="right">0.592</td>
-<td align="right">0.599</td>
+<td align="right">0.375</td>
+<td align="right">0.372</td>
+<td align="right">0.378</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
@@ -5017,37 +4977,37 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.695</td>
-<td align="right">0.688</td>
-<td align="right">0.702</td>
+<td align="right">0.479</td>
+<td align="right">0.471</td>
+<td align="right">0.486</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
 <td align="left">heuristic - rank</td>
-<td align="right">0.967</td>
-<td align="right">0.965</td>
 <td align="right">0.970</td>
+<td align="right">0.967</td>
+<td align="right">0.972</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 0.75 - tpr</td>
 <td align="left">heuristic - boxplot outlier</td>
-<td align="right">0.658</td>
-<td align="right">0.650</td>
-<td align="right">0.665</td>
+<td align="right">0.686</td>
+<td align="right">0.679</td>
+<td align="right">0.693</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 1 - tpr</td>
 <td align="left">{simaerep} unadjusted visit-med75</td>
-<td align="right">0.642</td>
-<td align="right">0.639</td>
-<td align="right">0.645</td>
+<td align="right">0.478</td>
+<td align="right">0.475</td>
+<td align="right">0.482</td>
 </tr>
 <tr class="even">
 <td align="left">under-reporting rate: 1 - tpr</td>
 <td align="left">{simaerep} AE per days on study</td>
-<td align="right">0.597</td>
-<td align="right">0.593</td>
-<td align="right">0.600</td>
+<td align="right">0.406</td>
+<td align="right">0.402</td>
+<td align="right">0.409</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 1 - tpr</td>
@@ -5059,9 +5019,9 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 1 - tpr</td>
 <td align="left">{simaerep} default</td>
-<td align="right">0.772</td>
-<td align="right">0.766</td>
-<td align="right">0.779</td>
+<td align="right">0.587</td>
+<td align="right">0.580</td>
+<td align="right">0.595</td>
 </tr>
 <tr class="odd">
 <td align="left">under-reporting rate: 1 - tpr</td>
@@ -5073,44 +5033,35 @@ <h2 id="plot-performance-metrics">Plot Performance Metrics<a class="anchor" aria
 <tr class="even">
 <td align="left">under-reporting rate: 1 - tpr</td>
 <td align="left">heuristic - boxplot outlier</td>
-<td align="right">0.792</td>
-<td align="right">0.786</td>
-<td align="right">0.799</td>
+<td align="right">0.855</td>
+<td align="right">0.850</td>
+<td align="right">0.861</td>
 </tr>
 </tbody>
 </table>
 <div class="sourceCode" id="cb44"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">sequential</span><span class="op">)</span></span></code></pre></div>
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diff --git a/docs/articles/sas_files.html b/docs/articles/sas_files.html
index c020967..17a9546 100644
--- a/docs/articles/sas_files.html
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 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>SAS Files as a Data Source • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
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-<script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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-<meta property="og:description" content="simaerep">
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="SAS Files as a Data Source">
+<!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
@@ -31,105 +25,63 @@
   gtag('config', 'UA-123997499-2');
 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
-    
+<body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
-    <div class="container template-article">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
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-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
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-        <span class="icon-bar"></span>
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-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
 
-    <div id="navbar" class="navbar-collapse collapse">
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-<li>
-  <a href="../index.html">
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-  <ul class="dropdown-menu" role="menu">
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-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
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-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
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-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
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-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
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-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
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-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto">
+<li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="active nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
-<!--/.nav-collapse -->
+
+
   </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
+</nav><div class="container template-article">
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>SAS Files as a Data Source</h1>
+
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>SAS Files as a Data Source</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/sas_files.Rmd" class="external-link"><code>vignettes/sas_files.Rmd</code></a></small>
-      <div class="hidden name"><code>sas_files.Rmd</code></div>
-
+      <div class="d-none name"><code>sas_files.Rmd</code></div>
     </div>
 
     
@@ -822,35 +774,26 @@ <h2 id="simaerep">{simaerep}<a class="anchor" aria-label="anchor" href="#simaere
 evaluation point (visit_med75, see introduction) will be
 ignored.</em></p>
 </div>
-  </div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-
-        <nav id="toc" data-toggle="toc"><h2 data-toc-skip>Contents</h2>
-    </nav>
-</div>
-
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
 </div>
 
 
 
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-      </footer>
+    </footer>
 </div>
 
-  
 
 
-  
+
 
   </body>
 </html>
diff --git a/docs/articles/sas_files_files/figure-html/unnamed-chunk-8-1.png b/docs/articles/sas_files_files/figure-html/unnamed-chunk-8-1.png
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diff --git a/docs/articles/usability_limits.html b/docs/articles/usability_limits.html
index 370044f..5ee9f43 100644
--- a/docs/articles/usability_limits.html
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 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Address Usability Limits of Bootstrap Method • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -12,18 +12,12 @@
 <link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png">
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
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-<script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet">
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-<meta property="og:description" content="simaerep">
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-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Address Usability Limits of Bootstrap Method">
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   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
@@ -31,106 +25,63 @@
   gtag('config', 'UA-123997499-2');
 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
-    
+<body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
 
-    <div class="container template-article">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
-    <div class="navbar-header">
-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
 
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-<li>
-  <a href="../index.html">
-    <span class="fas fa-home fa-lg"></span>
-     
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-</li>
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-  <a href="../articles/intro.html">Get Started</a>
-</li>
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-  <a href="../reference/index.html">Reference</a>
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-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
-    Articles
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-    <span class="caret"></span>
-  </a>
-  <ul class="dropdown-menu" role="menu">
-<li>
-      <a href="../articles/intro.html">Introduction</a>
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-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
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-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
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-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+      <ul class="navbar-nav me-auto">
+<li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
       </ul>
 </div>
-<!--/.nav-collapse -->
+
+
   </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
+</nav><div class="container template-article">
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>Address Usability Limits of Bootstrap
-Method</h1>
+
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Address Usability Limits of Bootstrap Method</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/usability_limits.Rmd" class="external-link"><code>vignettes/usability_limits.Rmd</code></a></small>
-      <div class="hidden name"><code>usability_limits.Rmd</code></div>
-
+      <div class="d-none name"><code>usability_limits.Rmd</code></div>
     </div>
 
     
@@ -540,35 +491,26 @@ <h2 id="conclusion">Conclusion<a class="anchor" aria-label="anchor" href="#concl
 detecting AE under-reporting that involves comparing AE counts if the ae
 per visit rate is 0.05 or lower.</p>
 </div>
-  </div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-
-        <nav id="toc" data-toggle="toc"><h2 data-toc-skip>Contents</h2>
-    </nav>
-</div>
-
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
 </div>
 
 
 
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-      </footer>
+    </footer>
 </div>
 
-  
 
 
-  
+
 
   </body>
 </html>
diff --git a/docs/articles/visit_med75.html b/docs/articles/visit_med75.html
index 3deb8b1..3ed35a3 100644
--- a/docs/articles/visit_med75.html
+++ b/docs/articles/visit_med75.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Adjusted Evaluation Point visit_med75 • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -12,18 +12,12 @@
 <link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png">
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png">
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-<!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous">
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
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-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Adjusted Evaluation Point visit_med75">
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   window.dataLayer = window.dataLayer || [];
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   gtag('js', new Date());
@@ -31,105 +25,63 @@
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 </script>
 </head>
-<body data-spy="scroll" data-target="#toc">
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-    <div class="container template-article">
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-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
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-
-    <div id="navbar" class="navbar-collapse collapse">
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-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
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-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
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-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
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-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
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-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
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-      <a href="../articles/over.html">Over-Reporting Probability</a>
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+<body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
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+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul>
 </li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
       </ul>
-<ul class="nav navbar-nav navbar-right">
-<li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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 </div>
-<!--/.nav-collapse -->
+
+
   </div>
-<!--/.container -->
-</div>
-<!--/.navbar -->
+</nav><div class="container template-article">
+
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>Adjusted Evaluation Point visit_med75</h1>
+
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Adjusted Evaluation Point visit_med75</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/visit_med75.Rmd" class="external-link"><code>vignettes/visit_med75.Rmd</code></a></small>
-      <div class="hidden name"><code>visit_med75.Rmd</code></div>
-
+      <div class="d-none name"><code>visit_med75.Rmd</code></div>
     </div>
 
     
@@ -249,35 +201,26 @@ <h2 id="early-starters">Early Starters<a class="anchor" aria-label="anchor" href
 <span><span class="co">## dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study</span></span></code></pre>
 <p><img src="visit_med75_files/figure-html/unnamed-chunk-4-1.png" width="700"></p>
 </div>
-  </div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-
-        <nav id="toc" data-toggle="toc"><h2 data-toc-skip>Contents</h2>
-    </nav>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside>
 </div>
 
-</div>
 
 
-
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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 </div>
 
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+
 
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 </html>
diff --git a/docs/articles/visit_med75_files/figure-html/unnamed-chunk-2-1.png b/docs/articles/visit_med75_files/figure-html/unnamed-chunk-2-1.png
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diff --git a/docs/articles/visit_med75_files/figure-html/unnamed-chunk-3-1.png b/docs/articles/visit_med75_files/figure-html/unnamed-chunk-3-1.png
index a285bbb..0879e89 100644
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diff --git a/docs/articles/visit_med75_files/figure-html/unnamed-chunk-4-1.png b/docs/articles/visit_med75_files/figure-html/unnamed-chunk-4-1.png
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diff --git a/docs/articles/visits_or_days.html b/docs/articles/visits_or_days.html
index 3450245..b3b4c93 100644
--- a/docs/articles/visits_or_days.html
+++ b/docs/articles/visits_or_days.html
@@ -4,7 +4,7 @@
 <meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <title>Aggregate AEs by Days or Visit? • simaerep</title>
 <!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png">
 <link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png">
@@ -12,18 +12,12 @@
 <link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png">
 <link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png">
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-  <div class="col-md-9 contents">
-    <div class="page-header toc-ignore">
-      <h1 data-toc-skip>Aggregate AEs by Days or Visit?</h1>
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Aggregate AEs by Days or Visit?</h1>
             
       
       <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/vignettes/visits_or_days.Rmd" class="external-link"><code>vignettes/visits_or_days.Rmd</code></a></small>
-      <div class="hidden name"><code>visits_or_days.Rmd</code></div>
-
+      <div class="d-none name"><code>visits_or_days.Rmd</code></div>
     </div>
 
     
@@ -407,14 +359,14 @@ <h2 id="compare">Compare<a class="anchor" aria-label="anchor" href="#compare"></
 </tr></thead>
 <tbody>
 <tr class="odd">
-<td align="left">084</td>
+<td align="left">078</td>
 <td align="right">0.9750000</td>
 <td align="right">0.9625000</td>
 <td align="right">5</td>
 <td align="right">5</td>
 </tr>
 <tr class="even">
-<td align="left">078</td>
+<td align="left">084</td>
 <td align="right">0.9750000</td>
 <td align="right">0.9625000</td>
 <td align="right">5</td>
@@ -463,33 +415,33 @@ <h2 id="compare">Compare<a class="anchor" aria-label="anchor" href="#compare"></
 <td align="right">5</td>
 </tr>
 <tr class="odd">
+<td align="left">069</td>
+<td align="right">0.1068182</td>
+<td align="right">0.1923077</td>
+<td align="right">3</td>
+<td align="right">5</td>
+</tr>
+<tr class="even">
 <td align="left">070</td>
 <td align="right">0.4093750</td>
 <td align="right">0.1923077</td>
 <td align="right">15</td>
 <td align="right">17</td>
 </tr>
-<tr class="even">
+<tr class="odd">
 <td align="left">080</td>
 <td align="right">0.1068182</td>
 <td align="right">0.1923077</td>
 <td align="right">20</td>
 <td align="right">20</td>
 </tr>
-<tr class="odd">
+<tr class="even">
 <td align="left">085</td>
 <td align="right">0.1068182</td>
 <td align="right">0.1923077</td>
 <td align="right">1</td>
 <td align="right">1</td>
 </tr>
-<tr class="even">
-<td align="left">069</td>
-<td align="right">0.1068182</td>
-<td align="right">0.1923077</td>
-<td align="right">3</td>
-<td align="right">5</td>
-</tr>
 <tr class="odd">
 <td align="left">090</td>
 <td align="right">0.0000000</td>
@@ -517,35 +469,26 @@ <h2 id="compare">Compare<a class="anchor" aria-label="anchor" href="#compare"></
 <span><span class="co">##       rho </span></span>
 <span><span class="co">## 0.6848696</span></span></code></pre>
 </div>
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-
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+    </nav></aside>
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diff --git a/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-10-1.png b/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-10-1.png
index 5302346..836388c 100644
Binary files a/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-10-1.png and b/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-10-1.png differ
diff --git a/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-9-1.png b/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-9-1.png
index 8df19ce..558e39b 100644
Binary files a/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-9-1.png and b/docs/articles/visits_or_days_files/figure-html/unnamed-chunk-9-1.png differ
diff --git a/docs/authors.html b/docs/authors.html
index 763bac8..b6fe33a 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -1,151 +1,102 @@
 <!DOCTYPE html>
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+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-citation-authors">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="logo.png" class="logo" alt=""><h1>Authors and Citation</h1>
     </div>
 
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav"><li>
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-    <span class="fas fa-home fa-lg"></span>
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-<li>
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-      <a href="articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="articles/over.html">Over-Reporting Probability</a>
-    </li>
-  </ul></li>
-<li>
-  <a href="news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
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-</li>
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-
-      
-
-      </header><div class="row">
-  <div class="contents col-md-9">
-    <div class="section level2 authors-section">
-      <div class="page-header">
-        <h1>Authors</h1>
-      </div>
-
-      
+    <div class="section level2">
+      <h2>Authors</h2>
+
       <ul class="list-unstyled"><li>
           <p><strong>Bjoern Koneswarakantha</strong>. Author, maintainer, copyright holder. <a href="https://orcid.org/0000-0003-4585-7799" target="orcid.widget" aria-label="ORCID" class="external-link"><span class="fab fa-orcid orcid" aria-hidden="true"></span></a>
           </p>
         </li>
         <li>
-          <p><strong>F. Hoffmann-La Roche Ltd</strong>. Copyright holder. 
+          <p><strong>F. Hoffmann-La Roche Ltd</strong>. Copyright holder.
           </p>
         </li>
       </ul></div>
-    <div class="section level2 citation-section">
-    <div>
-      <h1 id="citation">Citation</h1>
-      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small>
-    </div>
-    </div>
 
+    <div class="section level2">
+      <h2 id="citation">Citation</h2>
+      <p><small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
-    <p>Koneswarakantha B (2024).
+      <p>Koneswarakantha B (2024).
 <em>simaerep: Find Clinical Trial Sites Under-Reporting Adverse Events</em>.
-R package version 0.4.3.900, https://github.com/openpharma/simaerep, <a href="https://openpharma.github.io/simaerep/">https://openpharma.github.io/simaerep/</a>. 
+R package version 0.5.0.900, https://github.com/openpharma/simaerep, <a href="https://openpharma.github.io/simaerep/">https://openpharma.github.io/simaerep/</a>.
 </p>
-    <pre>@Manual{,
+      <pre>@Manual{,
   title = {simaerep: Find Clinical Trial Sites Under-Reporting Adverse Events},
   author = {Bjoern Koneswarakantha},
   year = {2024},
-  note = {R package version 0.4.3.900, https://github.com/openpharma/simaerep},
+  note = {R package version 0.5.0.900, https://github.com/openpharma/simaerep},
   url = {https://openpharma.github.io/simaerep/},
 }</pre>
+    </div>
 
-  </div>
-
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-
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js b/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
new file mode 100644
index 0000000..e8f21f7
--- /dev/null
+++ b/docs/deps/bootstrap-5.3.1/bootstrap.bundle.min.js
@@ -0,0 +1,7 @@
+/*!
+  * Bootstrap v5.3.1 (https://getbootstrap.com/)
+  * Copyright 2011-2023 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
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this._getItems().indexOf(t)}_setActiveIndicatorElement(t){if(!this._indicatorsElement)return;const e=z.findOne(wt,this._indicatorsElement);e.classList.remove(yt),e.removeAttribute("aria-current");const i=z.findOne(`[data-bs-slide-to="${t}"]`,this._indicatorsElement);i&&(i.classList.add(yt),i.setAttribute("aria-current","true"))}_updateInterval(){const t=this._activeElement||this._getActive();if(!t)return;const e=Number.parseInt(t.getAttribute("data-bs-interval"),10);this._config.interval=e||this._config.defaultInterval}_slide(t,e=null){if(this._isSliding)return;const i=this._getActive(),n=t===at,s=e||b(this._getItems(),i,n,this._config.wrap);if(s===i)return;const o=this._getItemIndex(s),r=e=>N.trigger(this._element,e,{relatedTarget:s,direction:this._orderToDirection(t),from:this._getItemIndex(i),to:o});if(r(dt).defaultPrevented)return;if(!i||!s)return;const a=Boolean(this._interval);this.pause(),this._isSliding=!0,this._setActiveIndicatorElement(o),this._activeElement=s;const l=n?"carousel-item-start":"carousel-item-end",c=n?"carousel-item-next":"carousel-item-prev";s.classList.add(c),d(s),i.classList.add(l),s.classList.add(l),this._queueCallback((()=>{s.classList.remove(l,c),s.classList.add(yt),i.classList.remove(yt,c,l),this._isSliding=!1,r(ut)}),i,this._isAnimated()),a&&this.cycle()}_isAnimated(){return this._element.classList.contains("slide")}_getActive(){return z.findOne(Et,this._element)}_getItems(){return z.find(At,this._element)}_clearInterval(){this._interval&&(clearInterval(this._interval),this._interval=null)}_directionToOrder(t){return p()?t===ct?lt:at:t===ct?at:lt}_orderToDirection(t){return p()?t===lt?ct:ht:t===lt?ht:ct}static jQueryInterface(t){return this.each((function(){const e=xt.getOrCreateInstance(this,t);if("number"!=typeof t){if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}else e.to(t)}))}}N.on(document,bt,"[data-bs-slide], 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i=`scroll${e[0].toUpperCase()+e.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(Mt),this._element.classList.add(Pt,Nt),this._element.style[e]="",N.trigger(this._element,St)}),this._element,!0),this._element.style[e]=`${this._element[i]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(N.trigger(this._element,Dt).defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,d(this._element),this._element.classList.add(Mt),this._element.classList.remove(Pt,Nt);for(const t of this._triggerArray){const e=z.getElementFromSelector(t);e&&!this._isShown(e)&&this._addAriaAndCollapsedClass([t],!1)}this._isTransitioning=!0,this._element.style[t]="",this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(Mt),this._element.classList.add(Pt),N.trigger(this._element,$t)}),this._element,!0)}_isShown(t=this._element){return 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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function mi(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?fi:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},fi,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof 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vi=Object.freeze(Object.defineProperty({__proto__:null,afterMain:ae,afterRead:se,afterWrite:he,applyStyles:_e,arrow:je,auto:Kt,basePlacements:Qt,beforeMain:oe,beforeRead:ie,beforeWrite:le,bottom:Rt,clippingParents:Ut,computeStyles:Be,createPopper:bi,createPopperBase:gi,createPopperLite:_i,detectOverflow:ii,end:Yt,eventListeners:Re,flip:si,hide:ai,left:Vt,main:re,modifierPhases:de,offset:li,placements:ee,popper:Jt,popperGenerator:mi,popperOffsets:ci,preventOverflow:hi,read:ne,reference:Zt,right:qt,start:Xt,top:zt,variationPlacements:te,viewport:Gt,write:ce},Symbol.toStringTag,{value:"Module"})),yi="dropdown",wi=".bs.dropdown",Ai=".data-api",Ei="ArrowUp",Ti="ArrowDown",Ci=`hide${wi}`,Oi=`hidden${wi}`,xi=`show${wi}`,ki=`shown${wi}`,Li=`click${wi}${Ai}`,Si=`keydown${wi}${Ai}`,Di=`keyup${wi}${Ai}`,$i="show",Ii='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',Ni=`${Ii}.${$i}`,Pi=".dropdown-menu",Mi=p()?"top-end":"top-start",ji=p()?"top-start":"top-end",Fi=p()?"bottom-end":"bottom-start",Hi=p()?"bottom-start":"bottom-end",Wi=p()?"left-start":"right-start",Bi=p()?"right-start":"left-start",zi={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},Ri={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class qi extends W{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=z.next(this._element,Pi)[0]||z.prev(this._element,Pi)[0]||z.findOne(Pi,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return zi}static get DefaultType(){return Ri}static get NAME(){return yi}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!N.trigger(this._element,xi,t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add($i),this._element.classList.add($i),N.trigger(this._element,ki,t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!N.trigger(this._element,Ci,t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove($i),this._element.classList.remove($i),this._element.setAttribute("aria-expanded","false"),F.removeDataAttribute(this._menu,"popper"),N.trigger(this._element,Oi,t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${yi.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===vi)throw new TypeError("Bootstrap's dropdowns require Popper 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t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ti,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=qi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=z.find(Ni);for(const i of e){const e=qi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return 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object[0] : object\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(parseSelector(object))\n  }\n\n  return null\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])')\n\n  if (!closedDetails) {\n    return elementIsVisible\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary')\n    if (summary && summary.parentNode !== closedDetails) {\n      return false\n    }\n\n    if (summary === null) {\n      return false\n    }\n  }\n\n  return elementIsVisible\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback()\n        }\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n  return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n  }\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition,\n  findShadowRoot,\n  getElement,\n  getjQuery,\n  getNextActiveElement,\n  getTransitionDurationFromElement,\n  getUID,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop,\n  onDOMContentLoaded,\n  parseSelector,\n  reflow,\n  triggerTransitionEnd,\n  toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, { delegateTarget: element })\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue\n        }\n\n        hydrateObj(event, { delegateTarget: target })\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn)\n        }\n\n        return fn.apply(target, [event])\n      }\n    }\n  }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events)\n    .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'\n  // TODO: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n  let typeEvent = getTypeEvent(originalTypeEvent)\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    callable = wrapFunction(callable)\n  }\n\n  const events = getElementEvents(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n    return\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = isDelegated ?\n    bootstrapDelegationHandler(element, handler, callable) :\n    bootstrapHandler(element, callable)\n\n  fn.delegationSelector = isDelegated ? handler : null\n  fn.callable = callable\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false)\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getElementEvents(element)\n    const storeElementEvent = events[typeEvent] || {}\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n\n    let jQueryEvent = null\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n  for (const [key, value] of Object.entries(meta)) {\n    try {\n      obj[key] = value\n    } catch {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value\n        }\n      })\n    }\n  }\n\n  return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true\n  }\n\n  if (value === 'false') {\n    return false\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value)\n  }\n\n  if (value === '' || value === 'null') {\n    return null\n  }\n\n  if (typeof value !== 'string') {\n    return value\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value))\n  } catch {\n    return value\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '')\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n      attributes[pureKey] = normalizeData(element.dataset[key])\n    }\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {}\n  }\n\n  static get DefaultType() {\n    return {}\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    return config\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    }\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const [property, expectedTypes] of Object.entries(configTypes)) {\n      const value = config[property]\n      const valueType = isElement(value) ? 'element' : toType(value)\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(\n          `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n        )\n      }\n    }\n  }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super()\n\n    element = getElement(element)\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    this._config = this._getConfig(config)\n\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n  let selector = element.getAttribute('data-bs-target')\n\n  if (!selector || selector === '#') {\n    let hrefAttribute = element.getAttribute('href')\n\n    // The only valid content that could double as a selector are IDs or classes,\n    // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n  }\n\n  return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector)\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector))\n  },\n\n  parents(element, selector) {\n    const parents = []\n    let ancestor = element.parentNode.closest(selector)\n\n    while (ancestor) {\n      parents.push(ancestor)\n      ancestor = ancestor.parentNode.closest(selector)\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  },\n\n  focusableChildren(element) {\n    const focusables = [\n      'a',\n      'button',\n      'input',\n      'textarea',\n      'select',\n      'details',\n      '[tabindex]',\n      '[contenteditable=\"true\"]'\n    ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n  },\n\n  getSelectorFromElement(element) {\n    const selector = getSelector(element)\n\n    if (selector) {\n      return SelectorEngine.findOne(selector) ? selector : null\n    }\n\n    return null\n  },\n\n  getElementFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.findOne(selector) : null\n  },\n\n  getMultipleElementsFromSelector(element) {\n    const selector = getSelector(element)\n\n    return selector ? SelectorEngine.find(selector) : []\n  }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`\n  const name = component.NAME\n\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault()\n    }\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n    const instance = component.getOrCreateInstance(target)\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]()\n  })\n}\n\nexport {\n  enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n    if (closeEvent.defaultPrevented) {\n      return\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove()\n    EventHandler.trigger(this._element, EVENT_CLOSED)\n    this.dispose()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n}\n\nconst DefaultType = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super()\n    this._element = element\n\n    if (!element || !Swipe.isSupported()) {\n      return\n    }\n\n    this._config = this._getConfig(config)\n    this._deltaX = 0\n    this._supportPointerEvents = Boolean(window.PointerEvent)\n    this._initEvents()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY)\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX\n\n      return\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX\n    }\n\n    this._handleSwipe()\n    execute(this._config.endCallback)\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ?\n      0 :\n      event.touches[0].clientX - this._deltaX\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX)\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltaX / this._deltaX\n\n    this._deltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n  }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getNextActiveElement,\n  isRTL,\n  isVisible,\n  reflow,\n  triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)', // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._interval = null\n    this._activeElement = null\n    this._isSliding = false\n    this.touchTimeout = null\n    this._swipeHelper = null\n\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._addEventListeners()\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element)\n    }\n\n    this._clearInterval()\n  }\n\n  cycle() {\n    this._clearInterval()\n    this._updateInterval()\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n      return\n    }\n\n    this.cycle()\n  }\n\n  to(index) {\n    const items = this._getItems()\n    if (index > items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive())\n    if (activeIndex === index) {\n      return\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n    this._slide(order, items[index])\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose()\n    }\n\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval\n    return config\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause()\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout)\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n    }\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    }\n\n    this._swipeHelper = new Swipe(this._element, swipeConfig)\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(this._directionToOrder(direction))\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element)\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n    activeIndicator.removeAttribute('aria-current')\n\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n      newActiveIndicator.setAttribute('aria-current', 'true')\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive()\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    this._config.interval = elementInterval || this._config.defaultInterval\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return\n    }\n\n    const activeElement = this._getActive()\n    const isNext = order === ORDER_NEXT\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n    if (nextElement === activeElement) {\n      return\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      })\n    }\n\n    const slideEvent = triggerEvent(EVENT_SLIDE)\n\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // TODO: change tests that use empty divs to avoid this check\n      return\n    }\n\n    const isCycling = Boolean(this._interval)\n    this.pause()\n\n    this._isSliding = true\n\n    this._setActiveIndicatorElement(nextElementIndex)\n    this._activeElement = nextElement\n\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n    nextElement.classList.add(orderClassName)\n\n    reflow(nextElement)\n\n    activeElement.classList.add(directionalClassName)\n    nextElement.classList.add(directionalClassName)\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n      this._isSliding = false\n\n      triggerEvent(EVENT_SLID)\n    }\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE)\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element)\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config)\n\n      if (typeof config === 'number') {\n        data.to(config)\n        return\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return\n  }\n\n  event.preventDefault()\n\n  const carousel = Carousel.getOrCreateInstance(target)\n  const slideIndex = this.getAttribute('data-bs-slide-to')\n\n  if (slideIndex) {\n    carousel.to(slideIndex)\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next()\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  carousel.prev()\n  carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  getElement,\n  reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n  parent: null,\n  toggle: true\n}\n\nconst DefaultType = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isTransitioning = false\n    this._triggerArray = []\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (const elem of toggleList) {\n      const selector = SelectorEngine.getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElement => foundElement === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._initializeChildren()\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return\n    }\n\n    let activeChildren = []\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n        .filter(element => element !== this._element)\n        .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide()\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true)\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    for (const trigger of this._triggerArray) {\n      const element = SelectorEngine.getElementFromSelector(trigger)\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false)\n      }\n    }\n\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    config.parent = getElement(config.parent)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n    for (const element of children) {\n      const selected = SelectorEngine.getElementFromSelector(element)\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected))\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n      element.setAttribute('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {}\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n    Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n  var x = _ref.x,\n      y = _ref.y;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }, getWindow(popper)) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases – research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        });\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update – it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update – it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref) {\n        var name = _ref.name,\n            _ref$options = _ref.options,\n            options = _ref$options === void 0 ? {} : _ref$options,\n            effect = _ref.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n  defineJQueryPlugin,\n  execute,\n  getElement,\n  getNextActiveElement,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n}\n\nconst DefaultType = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._popper = null\n    this._parent = this._element.parentNode // dropdown wrapper\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n    this._inNavbar = this._detectNavbar()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._createPopper()\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.add(CLASS_NAME_SHOW)\n    this._element.classList.add(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n    }\n\n    let referenceElement = this._element\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference)\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference\n    }\n\n    const popperConfig = this._getPopperConfig()\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n      return\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle)\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      const composedPath = event.composedPath()\n      const isMenuTarget = composedPath.includes(context._menu)\n      if (\n        composedPath.includes(context._element) ||\n        (context._config.autoClose === 'inside' && !isMenuTarget) ||\n        (context._config.autoClose === 'outside' && isMenuTarget)\n      ) {\n        continue\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue\n      }\n\n      const relatedTarget = { relatedTarget: context._element }\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName)\n    const isEscapeEvent = event.key === ESCAPE_KEY\n    const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return\n    }\n\n    event.preventDefault()\n\n    // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n      this :\n      (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n    const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation()\n      instance.show()\n      instance._selectMenuItem(event)\n      return\n    }\n\n    if (instance._isShown()) { // else is escape and we check if it is shown\n      event.stopPropagation()\n      instance.hide()\n      getToggleButton.focus()\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    const element = this._getElement()\n    if (this._config.isAnimated) {\n      reflow(element)\n    }\n\n    element.classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = this._config.className\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    const element = this._getElement()\n    this._config.rootElement.append(element)\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isActive = false\n    this._lastTabNavDirection = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus()\n    }\n\n    EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n    this._isActive = true\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return\n    }\n\n    this._isActive = false\n    EventHandler.off(document, EVENT_KEY)\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const { trapElement } = this._config\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement)\n\n    if (elements.length === 0) {\n      trapElement.focus()\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus()\n    } else {\n      elements[0].focus()\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n  }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProperty)\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty)\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty)\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty)\n        return\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty)\n      element.style.setProperty(styleProperty, value)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n      return\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel)\n    }\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._isShown = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._isTransitioning = true\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._backdrop.show(() => this._showElement(relatedTarget))\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    this._isTransitioning = true\n    this._focustrap.deactivate()\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n  }\n\n  dispose() {\n    EventHandler.off(window, EVENT_KEY)\n    EventHandler.off(this._dialog, EVENT_KEY)\n\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n\n    super.dispose()\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      this._triggerBackdropTransition()\n    })\n\n    EventHandler.on(window, EVENT_RESIZE, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog()\n      }\n    })\n\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition()\n          return\n        }\n\n        if (this._config.backdrop) {\n          this.hide()\n        }\n      })\n    })\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const initialOverflowY = this._element.style.overflowY\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden'\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC)\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY\n      }, this._dialog)\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n  defineJQueryPlugin,\n  isDisabled,\n  isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n    }\n\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate()\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW)\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._focustrap.deactivate()\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.add(CLASS_NAME_HIDING)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    }\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop)\n\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        this.hide()\n        return\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    })\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = SelectorEngine.getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show()\n  }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide()\n    }\n  }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n    }\n\n    return true\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n    .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase()\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove()\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  content: {}, // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n}\n\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content)\n      .map(config => this._resolvePossibleFunction(config))\n      .filter(Boolean)\n  }\n\n  hasContent() {\n    return this.getContent().length > 0\n  }\n\n  changeContent(content) {\n    this._checkContent(content)\n    this._config.content = { ...this._config.content, ...content }\n    return this\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div')\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector)\n    }\n\n    const template = templateWrapper.children[0]\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '))\n    }\n\n    return template\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config)\n    this._checkContent(config.content)\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template)\n\n    if (!templateElement) {\n      return\n    }\n\n    content = this._resolvePossibleFunction(content)\n\n    if (!content) {\n      templateElement.remove()\n      return\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement)\n      return\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content)\n      return\n    }\n\n    templateElement.textContent = content\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this])\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = ''\n      templateElement.append(element)\n      return\n    }\n\n    templateElement.textContent = element.textContent\n  }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 6],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n            '<div class=\"tooltip-arrow\"></div>' +\n            '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  title: '',\n  trigger: 'hover focus'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element, config)\n\n    // Private\n    this._isEnabled = true\n    this._timeout = 0\n    this._isHovered = null\n    this._activeTrigger = {}\n    this._popper = null\n    this._templateFactory = null\n    this._newContent = null\n\n    // Protected\n    this.tip = null\n\n    this._setListeners()\n\n    if (!this._config.selector) {\n      this._fixTitle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click\n    if (this._isShown()) {\n      this._leave()\n      return\n    }\n\n    this._enter()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n    }\n\n    this._disposePopper()\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    // TODO: v6 remove this or make it optional\n    this._disposePopper()\n\n    const tip = this._getTipElement()\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n    const { container } = this._config\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip)\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n    }\n\n    this._popper = this._createPopper(tip)\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n      if (this._isHovered === false) {\n        this._leave()\n      }\n\n      this._isHovered = false\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const tip = this._getTipElement()\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n    this._isHovered = null // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (!this._isHovered) {\n        this._disposePopper()\n      }\n\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle())\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n    }\n\n    return this.tip\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml()\n\n    // TODO: remove this check in v6\n    if (!tip) {\n      return null\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n    // TODO: v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n    const tipId = getUID(this.constructor.NAME).toString()\n\n    tip.setAttribute('id', tipId)\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    return tip\n  }\n\n  setContent(content) {\n    this._newContent = content\n    if (this._isShown()) {\n      this._disposePopper()\n      this.show()\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content)\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      })\n    }\n\n    return this._templateFactory\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    }\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n  }\n\n  _isAnimated() {\n    return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _createPopper(tip) {\n    const placement = execute(this._config.placement, [this, tip, this._element])\n    const attachment = AttachmentMap[placement.toUpperCase()]\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _resolvePossibleFunction(arg) {\n    return execute(arg, [this._element])\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'preSetPlacement',\n          enabled: true,\n          phase: 'beforeMain',\n          fn: data => {\n            // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n            // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n            this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n          }\n        }\n      ]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n    }\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context.toggle()\n        })\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSEENTER) :\n          this.constructor.eventName(EVENT_FOCUSIN)\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSELEAVE) :\n          this.constructor.eventName(EVENT_FOCUSOUT)\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n          context._enter()\n        })\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n            context._element.contains(event.relatedTarget)\n\n          context._leave()\n        })\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n\n    if (!title) {\n      return\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title)\n    }\n\n    this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title')\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true\n      return\n    }\n\n    this._isHovered = true\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show()\n      }\n    }, this._config.delay.show)\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return\n    }\n\n    this._isHovered = false\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide()\n      }\n    }, this._config.delay.hide)\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout)\n    this._timeout = setTimeout(handler, timeout)\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true)\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute]\n      }\n    }\n\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    for (const [key, value] of Object.entries(this._config)) {\n      if (this.constructor.Default[key] !== value) {\n        config[key] = value\n      }\n    }\n\n    config.selector = false\n    config.trigger = 'manual'\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy()\n      this._popper = null\n    }\n\n    if (this.tip) {\n      this.tip.remove()\n      this.tip = null\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n    '<div class=\"popover-arrow\"></div>' +\n    '<h3 class=\"popover-header\"></h3>' +\n    '<div class=\"popover-body\"></div>' +\n    '</div>',\n  trigger: 'click'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent()\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    }\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content)\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n  offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n  offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n    this._activeTarget = null\n    this._observer = null\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    }\n    this.refresh() // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables()\n    this._maybeEnableSmoothScroll()\n\n    if (this._observer) {\n      this._observer.disconnect()\n    } else {\n      this._observer = this._getNewObserver()\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section)\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect()\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n    }\n\n    return config\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK)\n\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash)\n      if (observableSection) {\n        event.preventDefault()\n        const root = this._rootElement || window\n        const height = observableSection.offsetTop - this._element.offsetTop\n        if (root.scrollTo) {\n          root.scrollTo({ top: height, behavior: 'smooth' })\n          return\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height\n      }\n    })\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    }\n\n    return new IntersectionObserver(entries => this._observerCallback(entries), options)\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n      this._process(targetElement(entry))\n    }\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n    this._previousScrollData.parentScrollTop = parentScrollTop\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null\n        this._clearActiveClass(targetElement(entry))\n\n        continue\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry)\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return\n        }\n\n        continue\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry)\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue\n      }\n\n      const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(decodeURI(anchor.hash), anchor)\n        this._observableSections.set(anchor.hash, observableSection)\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return\n    }\n\n    this._clearActiveClass(this._config.target)\n    this._activeTarget = target\n    target.classList.add(CLASS_NAME_ACTIVE)\n    this._activateParents(target)\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n      return\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE)\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE)\n\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getNextActiveElement, isDisabled } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst HOME_KEY = 'Home'\nconst END_KEY = 'End'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // TODO: could only be `tab` in v6\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element)\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n    if (!this._parent) {\n      return\n      // TODO: should throw exception in v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() { // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element\n    if (this._elemIsActive(innerElem)) {\n      return\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem()\n\n    const hideEvent = active ?\n      EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n      null\n\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n    if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._deactivate(active, innerElem)\n    this._activate(innerElem, active)\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n\n    this._activate(SelectorEngine.getElementFromSelector(element)) // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.removeAttribute('tabindex')\n      element.setAttribute('aria-selected', true)\n      this._toggleDropDown(element, true)\n      EventHandler.trigger(element, EVENT_SHOWN, {\n        relatedTarget: relatedElem\n      })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE)\n    element.blur()\n\n    this._deactivate(SelectorEngine.getElementFromSelector(element)) // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.setAttribute('aria-selected', false)\n      element.setAttribute('tabindex', '-1')\n      this._toggleDropDown(element, false)\n      EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _keydown(event) {\n    if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY, HOME_KEY, END_KEY].includes(event.key))) {\n      return\n    }\n\n    event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault()\n\n    const children = this._getChildren().filter(element => !isDisabled(element))\n    let nextActiveElement\n\n    if ([HOME_KEY, END_KEY].includes(event.key)) {\n      nextActiveElement = children[event.key === HOME_KEY ? 0 : children.length - 1]\n    } else {\n      const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n      nextActiveElement = getNextActiveElement(children, event.target, isNext, true)\n    }\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({ preventScroll: true })\n      Tab.getOrCreateInstance(nextActiveElement).show()\n    }\n  }\n\n  _getChildren() { // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child)\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child)\n    const isActive = this._elemIsActive(child)\n    const outerElem = this._getOuterElement(child)\n    child.setAttribute('aria-selected', isActive)\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1')\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab')\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child)\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = SelectorEngine.getElementFromSelector(child)\n\n    if (!target) {\n      return\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `${child.id}`)\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element)\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem)\n      if (element) {\n        element.classList.toggle(className, open)\n      }\n    }\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n    outerElem.setAttribute('aria-expanded', open)\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value)\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE)\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element)\n  }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin, reflow } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOWING)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout': {\n        this._hasMouseInteraction = isInteracting\n        break\n      }\n\n      case 'focusin':\n      case 'focusout': {\n        this._hasKeyboardInteraction = isInteracting\n        break\n      }\n\n      default: {\n        break\n      }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert.js'\nimport Button from './src/button.js'\nimport Carousel from './src/carousel.js'\nimport Collapse from './src/collapse.js'\nimport Dropdown from './src/dropdown.js'\nimport Modal from './src/modal.js'\nimport Offcanvas from './src/offcanvas.js'\nimport Popover from './src/popover.js'\nimport ScrollSpy from './src/scrollspy.js'\nimport Tab from './src/tab.js'\nimport Toast from './src/toast.js'\nimport Tooltip from './src/tooltip.js'\n\nexport default {\n  Alert,\n  Button,\n  Carousel,\n  Collapse,\n  Dropdown,\n  Modal,\n  Offcanvas,\n  Popover,\n  ScrollSpy,\n  Tab,\n  Toast,\n  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\ No newline at end of file
diff --git a/docs/deps/bootstrap-5.3.1/bootstrap.min.css b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
new file mode 100644
index 0000000..5d96aa0
--- /dev/null
+++ b/docs/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -0,0 +1,5 @@
+:root{--bslib-bootstrap-version: 5;--bslib-preset-name: ;--bslib-preset-type: }/*!
+   * Bootstrap  v5.3.1 (https://getbootstrap.com/)
+   * Copyright 2011-2023 The Bootstrap Authors
+   * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+   */:root,[data-bs-theme="light"]{--bs-blue: #0d6efd;--bs-indigo: #6610f2;--bs-purple: #6f42c1;--bs-pink: #d63384;--bs-red: #dc3545;--bs-orange: #fd7e14;--bs-yellow: #ffc107;--bs-green: #198754;--bs-teal: #20c997;--bs-cyan: #0dcaf0;--bs-black: #000;--bs-white: #fff;--bs-gray: #6c757d;--bs-gray-dark: #343a40;--bs-gray-100: #f8f9fa;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #ced4da;--bs-gray-500: #adb5bd;--bs-gray-600: #6c757d;--bs-gray-700: #495057;--bs-gray-800: #343a40;--bs-gray-900: #212529;--bs-default: #dee2e6;--bs-primary: #0d6efd;--bs-secondary: #6c757d;--bs-success: #198754;--bs-info: #0dcaf0;--bs-warning: #ffc107;--bs-danger: #dc3545;--bs-light: #f8f9fa;--bs-dark: #212529;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 13,110,253;--bs-secondary-rgb: 108,117,125;--bs-success-rgb: 25,135,84;--bs-info-rgb: 13,202,240;--bs-warning-rgb: 255,193,7;--bs-danger-rgb: 220,53,69;--bs-light-rgb: 248,249,250;--bs-dark-rgb: 33,37,41;--bs-primary-text-emphasis: 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#198754;--bs-btn-border-color: #198754;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #198754;--bs-btn-hover-border-color: #198754;--bs-btn-focus-shadow-rgb: 25,135,84;--bs-btn-active-color: #fff;--bs-btn-active-bg: #198754;--bs-btn-active-border-color: #198754;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #198754;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #198754;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-info{--bs-btn-color: #0dcaf0;--bs-btn-border-color: #0dcaf0;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #0dcaf0;--bs-btn-hover-border-color: #0dcaf0;--bs-btn-focus-shadow-rgb: 13,202,240;--bs-btn-active-color: #000;--bs-btn-active-bg: #0dcaf0;--bs-btn-active-border-color: #0dcaf0;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #0dcaf0;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #0dcaf0;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-warning{--bs-btn-color: #ffc107;--bs-btn-border-color: #ffc107;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #ffc107;--bs-btn-hover-border-color: #ffc107;--bs-btn-focus-shadow-rgb: 255,193,7;--bs-btn-active-color: #000;--bs-btn-active-bg: #ffc107;--bs-btn-active-border-color: #ffc107;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #ffc107;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #ffc107;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-danger{--bs-btn-color: #dc3545;--bs-btn-border-color: #dc3545;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #dc3545;--bs-btn-hover-border-color: #dc3545;--bs-btn-focus-shadow-rgb: 220,53,69;--bs-btn-active-color: #fff;--bs-btn-active-bg: #dc3545;--bs-btn-active-border-color: #dc3545;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #dc3545;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #dc3545;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #212529;--bs-btn-bg: transparent;--bs-gradient: none}.btn-link{--bs-btn-font-weight: 400;--bs-btn-color: var(--bs-link-color);--bs-btn-bg: transparent;--bs-btn-border-color: transparent;--bs-btn-hover-color: var(--bs-link-hover-color);--bs-btn-hover-border-color: transparent;--bs-btn-active-color: var(--bs-link-hover-color);--bs-btn-active-border-color: transparent;--bs-btn-disabled-color: #6c757d;--bs-btn-disabled-border-color: transparent;--bs-btn-box-shadow: 0 0 0 #000;--bs-btn-focus-shadow-rgb: 49,132,253;text-decoration:underline;-webkit-text-decoration:underline;-moz-text-decoration:underline;-ms-text-decoration:underline;-o-text-decoration:underline}.btn-link:focus-visible{color:var(--bs-btn-color)}.btn-link:hover{color:var(--bs-btn-hover-color)}.btn-lg,.btn-group-lg>.btn{--bs-btn-padding-y: .5rem;--bs-btn-padding-x: 1rem;--bs-btn-font-size:1.25rem;--bs-btn-border-radius: var(--bs-border-radius-lg)}.btn-sm,.btn-group-sm>.btn{--bs-btn-padding-y: .25rem;--bs-btn-padding-x: .5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: 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.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) 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var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid 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url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0,0,0,0.075);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: var(--bs-border-width);--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: .5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: var(--bs-border-color);--bs-modal-footer-border-width: var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 2)}.modal-content{position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;width:100%;color:var(--bs-modal-color);pointer-events:auto;background-color:var(--bs-modal-bg);background-clip:padding-box;border:var(--bs-modal-border-width) solid var(--bs-modal-border-color);border-radius:var(--bs-modal-border-radius);outline:0}.modal-backdrop{--bs-backdrop-zindex: 1050;--bs-backdrop-bg: #000;--bs-backdrop-opacity: .5;position:fixed;top:0;left:0;z-index:var(--bs-backdrop-zindex);width:100vw;height:100vh;background-color:var(--bs-backdrop-bg)}.modal-backdrop.fade{opacity:0}.modal-backdrop.show{opacity:var(--bs-backdrop-opacity)}.modal-header{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-modal-header-padding);border-bottom:var(--bs-modal-header-border-width) solid var(--bs-modal-header-border-color);border-top-left-radius:var(--bs-modal-inner-border-radius);border-top-right-radius:var(--bs-modal-inner-border-radius)}.modal-header .btn-close{padding:calc(var(--bs-modal-header-padding-y) * .5) calc(var(--bs-modal-header-padding-x) * .5);margin:calc(-.5 * var(--bs-modal-header-padding-y)) calc(-.5 * var(--bs-modal-header-padding-x)) calc(-.5 * var(--bs-modal-header-padding-y)) auto}.modal-title{margin-bottom:0;line-height:var(--bs-modal-title-line-height)}.modal-body{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-modal-padding)}.modal-footer{display:flex;display:-webkit-flex;flex-shrink:0;-webkit-flex-shrink:0;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:flex-end;-webkit-justify-content:flex-end;padding:calc(var(--bs-modal-padding) - var(--bs-modal-footer-gap) * .5);background-color:var(--bs-modal-footer-bg);border-top:var(--bs-modal-footer-border-width) solid var(--bs-modal-footer-border-color);border-bottom-right-radius:var(--bs-modal-inner-border-radius);border-bottom-left-radius:var(--bs-modal-inner-border-radius)}.modal-footer>*{margin:calc(var(--bs-modal-footer-gap) * .5)}@media (min-width: 576px){.modal{--bs-modal-margin: 1.75rem;--bs-modal-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15)}.modal-dialog{max-width:var(--bs-modal-width);margin-right:auto;margin-left:auto}.modal-sm{--bs-modal-width: 300px}}@media (min-width: 992px){.modal-lg,.modal-xl{--bs-modal-width: 800px}}@media (min-width: 1200px){.modal-xl{--bs-modal-width: 1140px}}.modal-fullscreen{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen .modal-header,.modal-fullscreen .modal-footer{border-radius:0}.modal-fullscreen .modal-body{overflow-y:auto}@media (max-width: 575.98px){.modal-fullscreen-sm-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-sm-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media (max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media (max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media (max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xl-down .modal-header,.modal-fullscreen-xl-down .modal-footer{border-radius:0}.modal-fullscreen-xl-down .modal-body{overflow-y:auto}}@media (max-width: 1399.98px){.modal-fullscreen-xxl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xxl-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-xxl-down .modal-header,.modal-fullscreen-xxl-down .modal-footer{border-radius:0}.modal-fullscreen-xxl-down .modal-body{overflow-y:auto}}.tooltip{--bs-tooltip-zindex: 1080;--bs-tooltip-max-width: 200px;--bs-tooltip-padding-x: .5rem;--bs-tooltip-padding-y: .25rem;--bs-tooltip-margin: ;--bs-tooltip-font-size:.875rem;--bs-tooltip-color: var(--bs-body-bg);--bs-tooltip-bg: var(--bs-emphasis-color);--bs-tooltip-border-radius: var(--bs-border-radius);--bs-tooltip-opacity: .9;--bs-tooltip-arrow-width: .8rem;--bs-tooltip-arrow-height: .4rem;z-index:var(--bs-tooltip-zindex);display:block;margin:var(--bs-tooltip-margin);font-family:var(--bs-font-sans-serif);font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;white-space:normal;word-spacing:normal;line-break:auto;font-size:var(--bs-tooltip-font-size);word-wrap:break-word;opacity:0}.tooltip.show{opacity:var(--bs-tooltip-opacity)}.tooltip .tooltip-arrow{display:block;width:var(--bs-tooltip-arrow-width);height:var(--bs-tooltip-arrow-height)}.tooltip .tooltip-arrow::before{position:absolute;content:"";border-color:transparent;border-style:solid}.bs-tooltip-top .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow{bottom:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-top .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="top"] .tooltip-arrow::before{top:-1px;border-width:var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-top-color:var(--bs-tooltip-bg)}.bs-tooltip-end .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow{left:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-end .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="right"] .tooltip-arrow::before{right:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height) calc(var(--bs-tooltip-arrow-width) * .5) 0;border-right-color:var(--bs-tooltip-bg)}.bs-tooltip-bottom .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow{top:calc(-1 * var(--bs-tooltip-arrow-height))}.bs-tooltip-bottom .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="bottom"] .tooltip-arrow::before{bottom:-1px;border-width:0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-bottom-color:var(--bs-tooltip-bg)}.bs-tooltip-start .tooltip-arrow,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow{right:calc(-1 * var(--bs-tooltip-arrow-height));width:var(--bs-tooltip-arrow-height);height:var(--bs-tooltip-arrow-width)}.bs-tooltip-start .tooltip-arrow::before,.bs-tooltip-auto[data-popper-placement^="left"] .tooltip-arrow::before{left:-1px;border-width:calc(var(--bs-tooltip-arrow-width) * .5) 0 calc(var(--bs-tooltip-arrow-width) * .5) var(--bs-tooltip-arrow-height);border-left-color:var(--bs-tooltip-bg)}.tooltip-inner{max-width:var(--bs-tooltip-max-width);padding:var(--bs-tooltip-padding-y) var(--bs-tooltip-padding-x);color:var(--bs-tooltip-color);text-align:center;background-color:var(--bs-tooltip-bg);border-radius:var(--bs-tooltip-border-radius)}.popover{--bs-popover-zindex: 1070;--bs-popover-max-width: 276px;--bs-popover-font-size:.875rem;--bs-popover-bg: var(--bs-body-bg);--bs-popover-border-width: var(--bs-border-width);--bs-popover-border-color: var(--bs-border-color-translucent);--bs-popover-border-radius: var(--bs-border-radius-lg);--bs-popover-inner-border-radius: calc(var(--bs-border-radius-lg) - var(--bs-border-width));--bs-popover-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-popover-header-padding-x: 1rem;--bs-popover-header-padding-y: .5rem;--bs-popover-header-font-size:1rem;--bs-popover-header-color: inherit;--bs-popover-header-bg: var(--bs-secondary-bg);--bs-popover-body-padding-x: 1rem;--bs-popover-body-padding-y: 1rem;--bs-popover-body-color: var(--bs-body-color);--bs-popover-arrow-width: 1rem;--bs-popover-arrow-height: .5rem;--bs-popover-arrow-border: 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diff --git a/docs/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js b/docs/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
new file mode 100644
index 0000000..c628326
--- /dev/null
+++ b/docs/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
+!function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0<n&&(r+="-"+n),!document.getElementById(r))return r}},generateAnchor:function(e){if(e.id)return e.id;var t=this.generateUniqueId(e);return e.id=t},createNavList:function(){return a('<ul class="nav navbar-nav"></ul>')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('<a class="nav-link"></a>');n.attr("href","#"+e),n.text(t);var r=a("<li></li>");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1<this.findOrFilter(e,"h"+t).length)return t}return 1},getHeadings:function(e,t){var n="h"+t,r="h"+(t+1);return this.findOrFilter(e,n+","+r)},getNavLevel:function(e){return parseInt(e.tagName.charAt(1),10)},populateNav:function(r,a,e){var i,s=r,c=this;e.each(function(e,t){var n=c.generateNavItem(t);c.getNavLevel(t)===a?s=r:i&&s===r&&(s=c.createChildNavList(i)),s.append(n),i=n})},parseOps:function(e){var t;return(t=e.jquery?{$nav:e}:e).$scope=t.$scope||a(document.body),t}},init:function(e){(e=this.helpers.parseOps(e)).$nav.attr("data-toggle","toc");var t=this.helpers.createChildNavList(e.$nav),n=this.helpers.getTopLevel(e.$scope),r=this.helpers.getHeadings(e.$scope,n);this.helpers.populateNav(t,n,r)}},a(function(){a('nav[data-toggle="toc"]').each(function(e,t){var n=a(t);Toc.init(n)})})}(jQuery);
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diff --git a/docs/deps/clipboard.js-2.0.11/clipboard.min.js b/docs/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 0000000..1103f81
--- /dev/null
+++ b/docs/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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diff --git a/docs/deps/data-deps.txt b/docs/deps/data-deps.txt
new file mode 100644
index 0000000..8aa49e2
--- /dev/null
+++ b/docs/deps/data-deps.txt
@@ -0,0 +1,13 @@
+<script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script>
+<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/docs/deps/font-awesome-6.4.2/css/all.css b/docs/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 0000000..bdb6e3a
--- /dev/null
+++ b/docs/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
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+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
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+  content: "\f651"; }
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+  content: "\f64a"; }
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+  content: "\f64a"; }
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+  content: "\f009"; }
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+.fa-th-large::before {
+  content: "\f009"; }
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+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
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+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
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+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
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+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
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+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
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+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
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+  content: "\f0e2"; }
+
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+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
+.fa-long-arrow-alt-left::before {
+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
+
+.fa-clock-four::before {
+  content: "\f017"; }
+
+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
+.fa-anchor-circle-xmark::before {
+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
+
+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
+.fa-link::before {
+  content: "\f0c1"; }
+
+.fa-chain::before {
+  content: "\f0c1"; }
+
+.fa-ear-listen::before {
+  content: "\f2a2"; }
+
+.fa-assistive-listening-systems::before {
+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
+.fa-magnifying-glass::before {
+  content: "\f002"; }
+
+.fa-search::before {
+  content: "\f002"; }
+
+.fa-table-tennis-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
+.fa-trash-can-arrow-up::before {
+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
+
+.fa-list-dots::before {
+  content: "\f0ca"; }
+
+.fa-school-lock::before {
+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
+
+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
+
+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
+.fa-jug-detergent::before {
+  content: "\e519"; }
+
+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
+.fa-adjust::before {
+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
+.fa-expand::before {
+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
+.fa-remove::before {
+  content: "\f00d"; }
+
+.fa-times::before {
+  content: "\f00d"; }
+
+.fa-arrows-up-down-left-right::before {
+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
+
+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
+.fa-arrow-right-from-file::before {
+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
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+.fa-servicestack:before {
+  content: "\f3ec"; }
+
+.fa-simplybuilt:before {
+  content: "\f215"; }
+
+.fa-bitbucket:before {
+  content: "\f171"; }
+
+.fa-imdb:before {
+  content: "\f2d8"; }
+
+.fa-deezer:before {
+  content: "\e077"; }
+
+.fa-raspberry-pi:before {
+  content: "\f7bb"; }
+
+.fa-jira:before {
+  content: "\f7b1"; }
+
+.fa-docker:before {
+  content: "\f395"; }
+
+.fa-screenpal:before {
+  content: "\e570"; }
+
+.fa-bluetooth:before {
+  content: "\f293"; }
+
+.fa-gitter:before {
+  content: "\f426"; }
+
+.fa-d-and-d:before {
+  content: "\f38d"; }
+
+.fa-microblog:before {
+  content: "\e01a"; }
+
+.fa-cc-diners-club:before {
+  content: "\f24c"; }
+
+.fa-gg-circle:before {
+  content: "\f261"; }
+
+.fa-pied-piper-hat:before {
+  content: "\f4e5"; }
+
+.fa-kickstarter-k:before {
+  content: "\f3bc"; }
+
+.fa-yandex:before {
+  content: "\f413"; }
+
+.fa-readme:before {
+  content: "\f4d5"; }
+
+.fa-html5:before {
+  content: "\f13b"; }
+
+.fa-sellsy:before {
+  content: "\f213"; }
+
+.fa-sass:before {
+  content: "\f41e"; }
+
+.fa-wirsindhandwerk:before {
+  content: "\e2d0"; }
+
+.fa-wsh:before {
+  content: "\e2d0"; }
+
+.fa-buromobelexperte:before {
+  content: "\f37f"; }
+
+.fa-salesforce:before {
+  content: "\f83b"; }
+
+.fa-octopus-deploy:before {
+  content: "\e082"; }
+
+.fa-medapps:before {
+  content: "\f3c6"; }
+
+.fa-ns8:before {
+  content: "\f3d5"; }
+
+.fa-pinterest-p:before {
+  content: "\f231"; }
+
+.fa-apper:before {
+  content: "\f371"; }
+
+.fa-fort-awesome:before {
+  content: "\f286"; }
+
+.fa-waze:before {
+  content: "\f83f"; }
+
+.fa-cc-jcb:before {
+  content: "\f24b"; }
+
+.fa-snapchat:before {
+  content: "\f2ab"; }
+
+.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa-fantasy-flight-games:before {
+  content: "\f6dc"; }
+
+.fa-rust:before {
+  content: "\e07a"; }
+
+.fa-wix:before {
+  content: "\f5cf"; }
+
+.fa-square-behance:before {
+  content: "\f1b5"; }
+
+.fa-behance-square:before {
+  content: "\f1b5"; }
+
+.fa-supple:before {
+  content: "\f3f9"; }
+
+.fa-rebel:before {
+  content: "\f1d0"; }
+
+.fa-css3:before {
+  content: "\f13c"; }
+
+.fa-staylinked:before {
+  content: "\f3f5"; }
+
+.fa-kaggle:before {
+  content: "\f5fa"; }
+
+.fa-space-awesome:before {
+  content: "\e5ac"; }
+
+.fa-deviantart:before {
+  content: "\f1bd"; }
+
+.fa-cpanel:before {
+  content: "\f388"; }
+
+.fa-goodreads-g:before {
+  content: "\f3a9"; }
+
+.fa-square-git:before {
+  content: "\f1d2"; }
+
+.fa-git-square:before {
+  content: "\f1d2"; }
+
+.fa-square-tumblr:before {
+  content: "\f174"; }
+
+.fa-tumblr-square:before {
+  content: "\f174"; }
+
+.fa-trello:before {
+  content: "\f181"; }
+
+.fa-creative-commons-nc-jp:before {
+  content: "\f4ea"; }
+
+.fa-get-pocket:before {
+  content: "\f265"; }
+
+.fa-perbyte:before {
+  content: "\e083"; }
+
+.fa-grunt:before {
+  content: "\f3ad"; }
+
+.fa-weebly:before {
+  content: "\f5cc"; }
+
+.fa-connectdevelop:before {
+  content: "\f20e"; }
+
+.fa-leanpub:before {
+  content: "\f212"; }
+
+.fa-black-tie:before {
+  content: "\f27e"; }
+
+.fa-themeco:before {
+  content: "\f5c6"; }
+
+.fa-python:before {
+  content: "\f3e2"; }
+
+.fa-android:before {
+  content: "\f17b"; }
+
+.fa-bots:before {
+  content: "\e340"; }
+
+.fa-free-code-camp:before {
+  content: "\f2c5"; }
+
+.fa-hornbill:before {
+  content: "\f592"; }
+
+.fa-js:before {
+  content: "\f3b8"; }
+
+.fa-ideal:before {
+  content: "\e013"; }
+
+.fa-git:before {
+  content: "\f1d3"; }
+
+.fa-dev:before {
+  content: "\f6cc"; }
+
+.fa-sketch:before {
+  content: "\f7c6"; }
+
+.fa-yandex-international:before {
+  content: "\f414"; }
+
+.fa-cc-amex:before {
+  content: "\f1f3"; }
+
+.fa-uber:before {
+  content: "\f402"; }
+
+.fa-github:before {
+  content: "\f09b"; }
+
+.fa-php:before {
+  content: "\f457"; }
+
+.fa-alipay:before {
+  content: "\f642"; }
+
+.fa-youtube:before {
+  content: "\f167"; }
+
+.fa-skyatlas:before {
+  content: "\f216"; }
+
+.fa-firefox-browser:before {
+  content: "\e007"; }
+
+.fa-replyd:before {
+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/docs/deps/font-awesome-6.4.2/css/all.min.css b/docs/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 0000000..6604a06
--- /dev/null
+++ b/docs/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-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diff --git a/docs/deps/font-awesome-6.4.2/css/v4-shims.css b/docs/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 0000000..a85953d
--- /dev/null
+++ b/docs/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
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+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+  content: "\f15b"; }
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+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
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+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
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+.fa.fa-video-camera:before {
+  content: "\f03d"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+  content: "\f03e"; }
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+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+  content: "\f03e"; }
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+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-image:before {
+  content: "\f03e"; }
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+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+  content: "\f044"; }
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+.fa.fa-edit {
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+  font-weight: 400; }
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+.fa.fa-edit:before {
+  content: "\f044"; }
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+.fa.fa-share-square-o:before {
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
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+.fa.fa-arrows:before {
+  content: "\f0b2"; }
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+.fa.fa-times-circle-o {
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+  font-weight: 400; }
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+.fa.fa-times-circle-o:before {
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+  font-weight: 400; }
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+.fa.fa-check-circle-o:before {
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+.fa.fa-compress:before {
+  content: "\f422"; }
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+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-warning:before {
+  content: "\f071"; }
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+.fa.fa-calendar:before {
+  content: "\f073"; }
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+  content: "\f338"; }
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+  content: "\f337"; }
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+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
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+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
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+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
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+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/docs/deps/font-awesome-6.4.2/css/v4-shims.min.css b/docs/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 0000000..64e4e8d
--- /dev/null
+++ b/docs/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 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+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
\ No newline at end of file
diff --git a/docs/deps/headroom-0.11.0/jQuery.headroom.min.js b/docs/deps/headroom-0.11.0/jQuery.headroom.min.js
new file mode 100644
index 0000000..17f70c9
--- /dev/null
+++ b/docs/deps/headroom-0.11.0/jQuery.headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
\ No newline at end of file
diff --git a/docs/deps/jquery-3.6.0/jquery-3.6.0.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.js
new file mode 100644
index 0000000..fc6c299
--- /dev/null
+++ b/docs/deps/jquery-3.6.0/jquery-3.6.0.js
@@ -0,0 +1,10881 @@
+/*!
+ * jQuery JavaScript Library v3.6.0
+ * https://jquery.com/
+ *
+ * Includes Sizzle.js
+ * https://sizzlejs.com/
+ *
+ * Copyright OpenJS Foundation and other contributors
+ * Released under the MIT license
+ * https://jquery.org/license
+ *
+ * Date: 2021-03-02T17:08Z
+ */
+( function( global, factory ) {
+
+	"use strict";
+
+	if ( typeof module === "object" && typeof module.exports === "object" ) {
+
+		// For CommonJS and CommonJS-like environments where a proper `window`
+		// is present, execute the factory and get jQuery.
+		// For environments that do not have a `window` with a `document`
+		// (such as Node.js), expose a factory as module.exports.
+		// This accentuates the need for the creation of a real `window`.
+		// e.g. var jQuery = require("jquery")(window);
+		// See ticket #14549 for more info.
+		module.exports = global.document ?
+			factory( global, true ) :
+			function( w ) {
+				if ( !w.document ) {
+					throw new Error( "jQuery requires a window with a document" );
+				}
+				return factory( w );
+			};
+	} else {
+		factory( global );
+	}
+
+// Pass this if window is not defined yet
+} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
+
+// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
+// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
+// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
+// enough that all such attempts are guarded in a try block.
+"use strict";
+
+var arr = [];
+
+var getProto = Object.getPrototypeOf;
+
+var slice = arr.slice;
+
+var flat = arr.flat ? function( array ) {
+	return arr.flat.call( array );
+} : function( array ) {
+	return arr.concat.apply( [], array );
+};
+
+
+var push = arr.push;
+
+var indexOf = arr.indexOf;
+
+var class2type = {};
+
+var toString = class2type.toString;
+
+var hasOwn = class2type.hasOwnProperty;
+
+var fnToString = hasOwn.toString;
+
+var ObjectFunctionString = fnToString.call( Object );
+
+var support = {};
+
+var isFunction = function isFunction( obj ) {
+
+		// Support: Chrome <=57, Firefox <=52
+		// In some browsers, typeof returns "function" for HTML <object> elements
+		// (i.e., `typeof document.createElement( "object" ) === "function"`).
+		// We don't want to classify *any* DOM node as a function.
+		// Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
+		// Plus for old WebKit, typeof returns "function" for HTML collections
+		// (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
+		return typeof obj === "function" && typeof obj.nodeType !== "number" &&
+			typeof obj.item !== "function";
+	};
+
+
+var isWindow = function isWindow( obj ) {
+		return obj != null && obj === obj.window;
+	};
+
+
+var document = window.document;
+
+
+
+	var preservedScriptAttributes = {
+		type: true,
+		src: true,
+		nonce: true,
+		noModule: true
+	};
+
+	function DOMEval( code, node, doc ) {
+		doc = doc || document;
+
+		var i, val,
+			script = doc.createElement( "script" );
+
+		script.text = code;
+		if ( node ) {
+			for ( i in preservedScriptAttributes ) {
+
+				// Support: Firefox 64+, Edge 18+
+				// Some browsers don't support the "nonce" property on scripts.
+				// On the other hand, just using `getAttribute` is not enough as
+				// the `nonce` attribute is reset to an empty string whenever it
+				// becomes browsing-context connected.
+				// See https://github.com/whatwg/html/issues/2369
+				// See https://html.spec.whatwg.org/#nonce-attributes
+				// The `node.getAttribute` check was added for the sake of
+				// `jQuery.globalEval` so that it can fake a nonce-containing node
+				// via an object.
+				val = node[ i ] || node.getAttribute && node.getAttribute( i );
+				if ( val ) {
+					script.setAttribute( i, val );
+				}
+			}
+		}
+		doc.head.appendChild( script ).parentNode.removeChild( script );
+	}
+
+
+function toType( obj ) {
+	if ( obj == null ) {
+		return obj + "";
+	}
+
+	// Support: Android <=2.3 only (functionish RegExp)
+	return typeof obj === "object" || typeof obj === "function" ?
+		class2type[ toString.call( obj ) ] || "object" :
+		typeof obj;
+}
+/* global Symbol */
+// Defining this global in .eslintrc.json would create a danger of using the global
+// unguarded in another place, it seems safer to define global only for this module
+
+
+
+var
+	version = "3.6.0",
+
+	// Define a local copy of jQuery
+	jQuery = function( selector, context ) {
+
+		// The jQuery object is actually just the init constructor 'enhanced'
+		// Need init if jQuery is called (just allow error to be thrown if not included)
+		return new jQuery.fn.init( selector, context );
+	};
+
+jQuery.fn = jQuery.prototype = {
+
+	// The current version of jQuery being used
+	jquery: version,
+
+	constructor: jQuery,
+
+	// The default length of a jQuery object is 0
+	length: 0,
+
+	toArray: function() {
+		return slice.call( this );
+	},
+
+	// Get the Nth element in the matched element set OR
+	// Get the whole matched element set as a clean array
+	get: function( num ) {
+
+		// Return all the elements in a clean array
+		if ( num == null ) {
+			return slice.call( this );
+		}
+
+		// Return just the one element from the set
+		return num < 0 ? this[ num + this.length ] : this[ num ];
+	},
+
+	// Take an array of elements and push it onto the stack
+	// (returning the new matched element set)
+	pushStack: function( elems ) {
+
+		// Build a new jQuery matched element set
+		var ret = jQuery.merge( this.constructor(), elems );
+
+		// Add the old object onto the stack (as a reference)
+		ret.prevObject = this;
+
+		// Return the newly-formed element set
+		return ret;
+	},
+
+	// Execute a callback for every element in the matched set.
+	each: function( callback ) {
+		return jQuery.each( this, callback );
+	},
+
+	map: function( callback ) {
+		return this.pushStack( jQuery.map( this, function( elem, i ) {
+			return callback.call( elem, i, elem );
+		} ) );
+	},
+
+	slice: function() {
+		return this.pushStack( slice.apply( this, arguments ) );
+	},
+
+	first: function() {
+		return this.eq( 0 );
+	},
+
+	last: function() {
+		return this.eq( -1 );
+	},
+
+	even: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return ( i + 1 ) % 2;
+		} ) );
+	},
+
+	odd: function() {
+		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
+			return i % 2;
+		} ) );
+	},
+
+	eq: function( i ) {
+		var len = this.length,
+			j = +i + ( i < 0 ? len : 0 );
+		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
+	},
+
+	end: function() {
+		return this.prevObject || this.constructor();
+	},
+
+	// For internal use only.
+	// Behaves like an Array's method, not like a jQuery method.
+	push: push,
+	sort: arr.sort,
+	splice: arr.splice
+};
+
+jQuery.extend = jQuery.fn.extend = function() {
+	var options, name, src, copy, copyIsArray, clone,
+		target = arguments[ 0 ] || {},
+		i = 1,
+		length = arguments.length,
+		deep = false;
+
+	// Handle a deep copy situation
+	if ( typeof target === "boolean" ) {
+		deep = target;
+
+		// Skip the boolean and the target
+		target = arguments[ i ] || {};
+		i++;
+	}
+
+	// Handle case when target is a string or something (possible in deep copy)
+	if ( typeof target !== "object" && !isFunction( target ) ) {
+		target = {};
+	}
+
+	// Extend jQuery itself if only one argument is passed
+	if ( i === length ) {
+		target = this;
+		i--;
+	}
+
+	for ( ; i < length; i++ ) {
+
+		// Only deal with non-null/undefined values
+		if ( ( options = arguments[ i ] ) != null ) {
+
+			// Extend the base object
+			for ( name in options ) {
+				copy = options[ name ];
+
+				// Prevent Object.prototype pollution
+				// Prevent never-ending loop
+				if ( name === "__proto__" || target === copy ) {
+					continue;
+				}
+
+				// Recurse if we're merging plain objects or arrays
+				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
+					( copyIsArray = Array.isArray( copy ) ) ) ) {
+					src = target[ name ];
+
+					// Ensure proper type for the source value
+					if ( copyIsArray && !Array.isArray( src ) ) {
+						clone = [];
+					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
+						clone = {};
+					} else {
+						clone = src;
+					}
+					copyIsArray = false;
+
+					// Never move original objects, clone them
+					target[ name ] = jQuery.extend( deep, clone, copy );
+
+				// Don't bring in undefined values
+				} else if ( copy !== undefined ) {
+					target[ name ] = copy;
+				}
+			}
+		}
+	}
+
+	// Return the modified object
+	return target;
+};
+
+jQuery.extend( {
+
+	// Unique for each copy of jQuery on the page
+	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
+
+	// Assume jQuery is ready without the ready module
+	isReady: true,
+
+	error: function( msg ) {
+		throw new Error( msg );
+	},
+
+	noop: function() {},
+
+	isPlainObject: function( obj ) {
+		var proto, Ctor;
+
+		// Detect obvious negatives
+		// Use toString instead of jQuery.type to catch host objects
+		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
+			return false;
+		}
+
+		proto = getProto( obj );
+
+		// Objects with no prototype (e.g., `Object.create( null )`) are plain
+		if ( !proto ) {
+			return true;
+		}
+
+		// Objects with prototype are plain iff they were constructed by a global Object function
+		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
+		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
+	},
+
+	isEmptyObject: function( obj ) {
+		var name;
+
+		for ( name in obj ) {
+			return false;
+		}
+		return true;
+	},
+
+	// Evaluates a script in a provided context; falls back to the global one
+	// if not specified.
+	globalEval: function( code, options, doc ) {
+		DOMEval( code, { nonce: options && options.nonce }, doc );
+	},
+
+	each: function( obj, callback ) {
+		var length, i = 0;
+
+		if ( isArrayLike( obj ) ) {
+			length = obj.length;
+			for ( ; i < length; i++ ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		} else {
+			for ( i in obj ) {
+				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
+					break;
+				}
+			}
+		}
+
+		return obj;
+	},
+
+	// results is for internal usage only
+	makeArray: function( arr, results ) {
+		var ret = results || [];
+
+		if ( arr != null ) {
+			if ( isArrayLike( Object( arr ) ) ) {
+				jQuery.merge( ret,
+					typeof arr === "string" ?
+						[ arr ] : arr
+				);
+			} else {
+				push.call( ret, arr );
+			}
+		}
+
+		return ret;
+	},
+
+	inArray: function( elem, arr, i ) {
+		return arr == null ? -1 : indexOf.call( arr, elem, i );
+	},
+
+	// Support: Android <=4.0 only, PhantomJS 1 only
+	// push.apply(_, arraylike) throws on ancient WebKit
+	merge: function( first, second ) {
+		var len = +second.length,
+			j = 0,
+			i = first.length;
+
+		for ( ; j < len; j++ ) {
+			first[ i++ ] = second[ j ];
+		}
+
+		first.length = i;
+
+		return first;
+	},
+
+	grep: function( elems, callback, invert ) {
+		var callbackInverse,
+			matches = [],
+			i = 0,
+			length = elems.length,
+			callbackExpect = !invert;
+
+		// Go through the array, only saving the items
+		// that pass the validator function
+		for ( ; i < length; i++ ) {
+			callbackInverse = !callback( elems[ i ], i );
+			if ( callbackInverse !== callbackExpect ) {
+				matches.push( elems[ i ] );
+			}
+		}
+
+		return matches;
+	},
+
+	// arg is for internal usage only
+	map: function( elems, callback, arg ) {
+		var length, value,
+			i = 0,
+			ret = [];
+
+		// Go through the array, translating each of the items to their new values
+		if ( isArrayLike( elems ) ) {
+			length = elems.length;
+			for ( ; i < length; i++ ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+
+		// Go through every key on the object,
+		} else {
+			for ( i in elems ) {
+				value = callback( elems[ i ], i, arg );
+
+				if ( value != null ) {
+					ret.push( value );
+				}
+			}
+		}
+
+		// Flatten any nested arrays
+		return flat( ret );
+	},
+
+	// A global GUID counter for objects
+	guid: 1,
+
+	// jQuery.support is not used in Core but other projects attach their
+	// properties to it so it needs to exist.
+	support: support
+} );
+
+if ( typeof Symbol === "function" ) {
+	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
+}
+
+// Populate the class2type map
+jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
+	function( _i, name ) {
+		class2type[ "[object " + name + "]" ] = name.toLowerCase();
+	} );
+
+function isArrayLike( obj ) {
+
+	// Support: real iOS 8.2 only (not reproducible in simulator)
+	// `in` check used to prevent JIT error (gh-2145)
+	// hasOwn isn't used here due to false negatives
+	// regarding Nodelist length in IE
+	var length = !!obj && "length" in obj && obj.length,
+		type = toType( obj );
+
+	if ( isFunction( obj ) || isWindow( obj ) ) {
+		return false;
+	}
+
+	return type === "array" || length === 0 ||
+		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
+}
+var Sizzle =
+/*!
+ * Sizzle CSS Selector Engine v2.3.6
+ * https://sizzlejs.com/
+ *
+ * Copyright JS Foundation and other contributors
+ * Released under the MIT license
+ * https://js.foundation/
+ *
+ * Date: 2021-02-16
+ */
+( function( window ) {
+var i,
+	support,
+	Expr,
+	getText,
+	isXML,
+	tokenize,
+	compile,
+	select,
+	outermostContext,
+	sortInput,
+	hasDuplicate,
+
+	// Local document vars
+	setDocument,
+	document,
+	docElem,
+	documentIsHTML,
+	rbuggyQSA,
+	rbuggyMatches,
+	matches,
+	contains,
+
+	// Instance-specific data
+	expando = "sizzle" + 1 * new Date(),
+	preferredDoc = window.document,
+	dirruns = 0,
+	done = 0,
+	classCache = createCache(),
+	tokenCache = createCache(),
+	compilerCache = createCache(),
+	nonnativeSelectorCache = createCache(),
+	sortOrder = function( a, b ) {
+		if ( a === b ) {
+			hasDuplicate = true;
+		}
+		return 0;
+	},
+
+	// Instance methods
+	hasOwn = ( {} ).hasOwnProperty,
+	arr = [],
+	pop = arr.pop,
+	pushNative = arr.push,
+	push = arr.push,
+	slice = arr.slice,
+
+	// Use a stripped-down indexOf as it's faster than native
+	// https://jsperf.com/thor-indexof-vs-for/5
+	indexOf = function( list, elem ) {
+		var i = 0,
+			len = list.length;
+		for ( ; i < len; i++ ) {
+			if ( list[ i ] === elem ) {
+				return i;
+			}
+		}
+		return -1;
+	},
+
+	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
+		"ismap|loop|multiple|open|readonly|required|scoped",
+
+	// Regular expressions
+
+	// http://www.w3.org/TR/css3-selectors/#whitespace
+	whitespace = "[\\x20\\t\\r\\n\\f]",
+
+	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
+	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
+		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
+
+	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
+	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
+
+		// Operator (capture 2)
+		"*([*^$|!~]?=)" + whitespace +
+
+		// "Attribute values must be CSS identifiers [capture 5]
+		// or strings [capture 3 or capture 4]"
+		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
+		whitespace + "*\\]",
+
+	pseudos = ":(" + identifier + ")(?:\\((" +
+
+		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
+		// 1. quoted (capture 3; capture 4 or capture 5)
+		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
+
+		// 2. simple (capture 6)
+		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
+
+		// 3. anything else (capture 2)
+		".*" +
+		")\\)|)",
+
+	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
+	rwhitespace = new RegExp( whitespace + "+", "g" ),
+	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
+		whitespace + "+$", "g" ),
+
+	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
+	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
+		"*" ),
+	rdescend = new RegExp( whitespace + "|>" ),
+
+	rpseudo = new RegExp( pseudos ),
+	ridentifier = new RegExp( "^" + identifier + "$" ),
+
+	matchExpr = {
+		"ID": new RegExp( "^#(" + identifier + ")" ),
+		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
+		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
+		"ATTR": new RegExp( "^" + attributes ),
+		"PSEUDO": new RegExp( "^" + pseudos ),
+		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
+			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
+			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
+		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
+
+		// For use in libraries implementing .is()
+		// We use this for POS matching in `select`
+		"needsContext": new RegExp( "^" + whitespace +
+			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
+			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
+	},
+
+	rhtml = /HTML$/i,
+	rinputs = /^(?:input|select|textarea|button)$/i,
+	rheader = /^h\d$/i,
+
+	rnative = /^[^{]+\{\s*\[native \w/,
+
+	// Easily-parseable/retrievable ID or TAG or CLASS selectors
+	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
+
+	rsibling = /[+~]/,
+
+	// CSS escapes
+	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
+	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
+	funescape = function( escape, nonHex ) {
+		var high = "0x" + escape.slice( 1 ) - 0x10000;
+
+		return nonHex ?
+
+			// Strip the backslash prefix from a non-hex escape sequence
+			nonHex :
+
+			// Replace a hexadecimal escape sequence with the encoded Unicode code point
+			// Support: IE <=11+
+			// For values outside the Basic Multilingual Plane (BMP), manually construct a
+			// surrogate pair
+			high < 0 ?
+				String.fromCharCode( high + 0x10000 ) :
+				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
+	},
+
+	// CSS string/identifier serialization
+	// https://drafts.csswg.org/cssom/#common-serializing-idioms
+	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
+	fcssescape = function( ch, asCodePoint ) {
+		if ( asCodePoint ) {
+
+			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
+			if ( ch === "\0" ) {
+				return "\uFFFD";
+			}
+
+			// Control characters and (dependent upon position) numbers get escaped as code points
+			return ch.slice( 0, -1 ) + "\\" +
+				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
+		}
+
+		// Other potentially-special ASCII characters get backslash-escaped
+		return "\\" + ch;
+	},
+
+	// Used for iframes
+	// See setDocument()
+	// Removing the function wrapper causes a "Permission Denied"
+	// error in IE
+	unloadHandler = function() {
+		setDocument();
+	},
+
+	inDisabledFieldset = addCombinator(
+		function( elem ) {
+			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
+		},
+		{ dir: "parentNode", next: "legend" }
+	);
+
+// Optimize for push.apply( _, NodeList )
+try {
+	push.apply(
+		( arr = slice.call( preferredDoc.childNodes ) ),
+		preferredDoc.childNodes
+	);
+
+	// Support: Android<4.0
+	// Detect silently failing push.apply
+	// eslint-disable-next-line no-unused-expressions
+	arr[ preferredDoc.childNodes.length ].nodeType;
+} catch ( e ) {
+	push = { apply: arr.length ?
+
+		// Leverage slice if possible
+		function( target, els ) {
+			pushNative.apply( target, slice.call( els ) );
+		} :
+
+		// Support: IE<9
+		// Otherwise append directly
+		function( target, els ) {
+			var j = target.length,
+				i = 0;
+
+			// Can't trust NodeList.length
+			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
+			target.length = j - 1;
+		}
+	};
+}
+
+function Sizzle( selector, context, results, seed ) {
+	var m, i, elem, nid, match, groups, newSelector,
+		newContext = context && context.ownerDocument,
+
+		// nodeType defaults to 9, since context defaults to document
+		nodeType = context ? context.nodeType : 9;
+
+	results = results || [];
+
+	// Return early from calls with invalid selector or context
+	if ( typeof selector !== "string" || !selector ||
+		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
+
+		return results;
+	}
+
+	// Try to shortcut find operations (as opposed to filters) in HTML documents
+	if ( !seed ) {
+		setDocument( context );
+		context = context || document;
+
+		if ( documentIsHTML ) {
+
+			// If the selector is sufficiently simple, try using a "get*By*" DOM method
+			// (excepting DocumentFragment context, where the methods don't exist)
+			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
+
+				// ID selector
+				if ( ( m = match[ 1 ] ) ) {
+
+					// Document context
+					if ( nodeType === 9 ) {
+						if ( ( elem = context.getElementById( m ) ) ) {
+
+							// Support: IE, Opera, Webkit
+							// TODO: identify versions
+							// getElementById can match elements by name instead of ID
+							if ( elem.id === m ) {
+								results.push( elem );
+								return results;
+							}
+						} else {
+							return results;
+						}
+
+					// Element context
+					} else {
+
+						// Support: IE, Opera, Webkit
+						// TODO: identify versions
+						// getElementById can match elements by name instead of ID
+						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
+							contains( context, elem ) &&
+							elem.id === m ) {
+
+							results.push( elem );
+							return results;
+						}
+					}
+
+				// Type selector
+				} else if ( match[ 2 ] ) {
+					push.apply( results, context.getElementsByTagName( selector ) );
+					return results;
+
+				// Class selector
+				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
+					context.getElementsByClassName ) {
+
+					push.apply( results, context.getElementsByClassName( m ) );
+					return results;
+				}
+			}
+
+			// Take advantage of querySelectorAll
+			if ( support.qsa &&
+				!nonnativeSelectorCache[ selector + " " ] &&
+				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
+
+				// Support: IE 8 only
+				// Exclude object elements
+				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
+
+				newSelector = selector;
+				newContext = context;
+
+				// qSA considers elements outside a scoping root when evaluating child or
+				// descendant combinators, which is not what we want.
+				// In such cases, we work around the behavior by prefixing every selector in the
+				// list with an ID selector referencing the scope context.
+				// The technique has to be used as well when a leading combinator is used
+				// as such selectors are not recognized by querySelectorAll.
+				// Thanks to Andrew Dupont for this technique.
+				if ( nodeType === 1 &&
+					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
+
+					// Expand context for sibling selectors
+					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
+						context;
+
+					// We can use :scope instead of the ID hack if the browser
+					// supports it & if we're not changing the context.
+					if ( newContext !== context || !support.scope ) {
+
+						// Capture the context ID, setting it first if necessary
+						if ( ( nid = context.getAttribute( "id" ) ) ) {
+							nid = nid.replace( rcssescape, fcssescape );
+						} else {
+							context.setAttribute( "id", ( nid = expando ) );
+						}
+					}
+
+					// Prefix every selector in the list
+					groups = tokenize( selector );
+					i = groups.length;
+					while ( i-- ) {
+						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
+							toSelector( groups[ i ] );
+					}
+					newSelector = groups.join( "," );
+				}
+
+				try {
+					push.apply( results,
+						newContext.querySelectorAll( newSelector )
+					);
+					return results;
+				} catch ( qsaError ) {
+					nonnativeSelectorCache( selector, true );
+				} finally {
+					if ( nid === expando ) {
+						context.removeAttribute( "id" );
+					}
+				}
+			}
+		}
+	}
+
+	// All others
+	return select( selector.replace( rtrim, "$1" ), context, results, seed );
+}
+
+/**
+ * Create key-value caches of limited size
+ * @returns {function(string, object)} Returns the Object data after storing it on itself with
+ *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
+ *	deleting the oldest entry
+ */
+function createCache() {
+	var keys = [];
+
+	function cache( key, value ) {
+
+		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
+		if ( keys.push( key + " " ) > Expr.cacheLength ) {
+
+			// Only keep the most recent entries
+			delete cache[ keys.shift() ];
+		}
+		return ( cache[ key + " " ] = value );
+	}
+	return cache;
+}
+
+/**
+ * Mark a function for special use by Sizzle
+ * @param {Function} fn The function to mark
+ */
+function markFunction( fn ) {
+	fn[ expando ] = true;
+	return fn;
+}
+
+/**
+ * Support testing using an element
+ * @param {Function} fn Passed the created element and returns a boolean result
+ */
+function assert( fn ) {
+	var el = document.createElement( "fieldset" );
+
+	try {
+		return !!fn( el );
+	} catch ( e ) {
+		return false;
+	} finally {
+
+		// Remove from its parent by default
+		if ( el.parentNode ) {
+			el.parentNode.removeChild( el );
+		}
+
+		// release memory in IE
+		el = null;
+	}
+}
+
+/**
+ * Adds the same handler for all of the specified attrs
+ * @param {String} attrs Pipe-separated list of attributes
+ * @param {Function} handler The method that will be applied
+ */
+function addHandle( attrs, handler ) {
+	var arr = attrs.split( "|" ),
+		i = arr.length;
+
+	while ( i-- ) {
+		Expr.attrHandle[ arr[ i ] ] = handler;
+	}
+}
+
+/**
+ * Checks document order of two siblings
+ * @param {Element} a
+ * @param {Element} b
+ * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
+ */
+function siblingCheck( a, b ) {
+	var cur = b && a,
+		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
+			a.sourceIndex - b.sourceIndex;
+
+	// Use IE sourceIndex if available on both nodes
+	if ( diff ) {
+		return diff;
+	}
+
+	// Check if b follows a
+	if ( cur ) {
+		while ( ( cur = cur.nextSibling ) ) {
+			if ( cur === b ) {
+				return -1;
+			}
+		}
+	}
+
+	return a ? 1 : -1;
+}
+
+/**
+ * Returns a function to use in pseudos for input types
+ * @param {String} type
+ */
+function createInputPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return name === "input" && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for buttons
+ * @param {String} type
+ */
+function createButtonPseudo( type ) {
+	return function( elem ) {
+		var name = elem.nodeName.toLowerCase();
+		return ( name === "input" || name === "button" ) && elem.type === type;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for :enabled/:disabled
+ * @param {Boolean} disabled true for :disabled; false for :enabled
+ */
+function createDisabledPseudo( disabled ) {
+
+	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
+	return function( elem ) {
+
+		// Only certain elements can match :enabled or :disabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
+		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
+		if ( "form" in elem ) {
+
+			// Check for inherited disabledness on relevant non-disabled elements:
+			// * listed form-associated elements in a disabled fieldset
+			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
+			// * option elements in a disabled optgroup
+			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
+			// All such elements have a "form" property.
+			if ( elem.parentNode && elem.disabled === false ) {
+
+				// Option elements defer to a parent optgroup if present
+				if ( "label" in elem ) {
+					if ( "label" in elem.parentNode ) {
+						return elem.parentNode.disabled === disabled;
+					} else {
+						return elem.disabled === disabled;
+					}
+				}
+
+				// Support: IE 6 - 11
+				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
+				return elem.isDisabled === disabled ||
+
+					// Where there is no isDisabled, check manually
+					/* jshint -W018 */
+					elem.isDisabled !== !disabled &&
+					inDisabledFieldset( elem ) === disabled;
+			}
+
+			return elem.disabled === disabled;
+
+		// Try to winnow out elements that can't be disabled before trusting the disabled property.
+		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
+		// even exist on them, let alone have a boolean value.
+		} else if ( "label" in elem ) {
+			return elem.disabled === disabled;
+		}
+
+		// Remaining elements are neither :enabled nor :disabled
+		return false;
+	};
+}
+
+/**
+ * Returns a function to use in pseudos for positionals
+ * @param {Function} fn
+ */
+function createPositionalPseudo( fn ) {
+	return markFunction( function( argument ) {
+		argument = +argument;
+		return markFunction( function( seed, matches ) {
+			var j,
+				matchIndexes = fn( [], seed.length, argument ),
+				i = matchIndexes.length;
+
+			// Match elements found at the specified indexes
+			while ( i-- ) {
+				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
+					seed[ j ] = !( matches[ j ] = seed[ j ] );
+				}
+			}
+		} );
+	} );
+}
+
+/**
+ * Checks a node for validity as a Sizzle context
+ * @param {Element|Object=} context
+ * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
+ */
+function testContext( context ) {
+	return context && typeof context.getElementsByTagName !== "undefined" && context;
+}
+
+// Expose support vars for convenience
+support = Sizzle.support = {};
+
+/**
+ * Detects XML nodes
+ * @param {Element|Object} elem An element or a document
+ * @returns {Boolean} True iff elem is a non-HTML XML node
+ */
+isXML = Sizzle.isXML = function( elem ) {
+	var namespace = elem && elem.namespaceURI,
+		docElem = elem && ( elem.ownerDocument || elem ).documentElement;
+
+	// Support: IE <=8
+	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
+	// https://bugs.jquery.com/ticket/4833
+	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
+};
+
+/**
+ * Sets document-related variables once based on the current document
+ * @param {Element|Object} [doc] An element or document object to use to set the document
+ * @returns {Object} Returns the current document
+ */
+setDocument = Sizzle.setDocument = function( node ) {
+	var hasCompare, subWindow,
+		doc = node ? node.ownerDocument || node : preferredDoc;
+
+	// Return early if doc is invalid or already selected
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
+		return document;
+	}
+
+	// Update global variables
+	document = doc;
+	docElem = document.documentElement;
+	documentIsHTML = !isXML( document );
+
+	// Support: IE 9 - 11+, Edge 12 - 18+
+	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( preferredDoc != document &&
+		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
+
+		// Support: IE 11, Edge
+		if ( subWindow.addEventListener ) {
+			subWindow.addEventListener( "unload", unloadHandler, false );
+
+		// Support: IE 9 - 10 only
+		} else if ( subWindow.attachEvent ) {
+			subWindow.attachEvent( "onunload", unloadHandler );
+		}
+	}
+
+	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
+	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
+	// IE/Edge & older browsers don't support the :scope pseudo-class.
+	// Support: Safari 6.0 only
+	// Safari 6.0 supports :scope but it's an alias of :root there.
+	support.scope = assert( function( el ) {
+		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
+		return typeof el.querySelectorAll !== "undefined" &&
+			!el.querySelectorAll( ":scope fieldset div" ).length;
+	} );
+
+	/* Attributes
+	---------------------------------------------------------------------- */
+
+	// Support: IE<8
+	// Verify that getAttribute really returns attributes and not properties
+	// (excepting IE8 booleans)
+	support.attributes = assert( function( el ) {
+		el.className = "i";
+		return !el.getAttribute( "className" );
+	} );
+
+	/* getElement(s)By*
+	---------------------------------------------------------------------- */
+
+	// Check if getElementsByTagName("*") returns only elements
+	support.getElementsByTagName = assert( function( el ) {
+		el.appendChild( document.createComment( "" ) );
+		return !el.getElementsByTagName( "*" ).length;
+	} );
+
+	// Support: IE<9
+	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
+
+	// Support: IE<10
+	// Check if getElementById returns elements by name
+	// The broken getElementById methods don't pick up programmatically-set names,
+	// so use a roundabout getElementsByName test
+	support.getById = assert( function( el ) {
+		docElem.appendChild( el ).id = expando;
+		return !document.getElementsByName || !document.getElementsByName( expando ).length;
+	} );
+
+	// ID filter and find
+	if ( support.getById ) {
+		Expr.filter[ "ID" ] = function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				return elem.getAttribute( "id" ) === attrId;
+			};
+		};
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var elem = context.getElementById( id );
+				return elem ? [ elem ] : [];
+			}
+		};
+	} else {
+		Expr.filter[ "ID" ] =  function( id ) {
+			var attrId = id.replace( runescape, funescape );
+			return function( elem ) {
+				var node = typeof elem.getAttributeNode !== "undefined" &&
+					elem.getAttributeNode( "id" );
+				return node && node.value === attrId;
+			};
+		};
+
+		// Support: IE 6 - 7 only
+		// getElementById is not reliable as a find shortcut
+		Expr.find[ "ID" ] = function( id, context ) {
+			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
+				var node, i, elems,
+					elem = context.getElementById( id );
+
+				if ( elem ) {
+
+					// Verify the id attribute
+					node = elem.getAttributeNode( "id" );
+					if ( node && node.value === id ) {
+						return [ elem ];
+					}
+
+					// Fall back on getElementsByName
+					elems = context.getElementsByName( id );
+					i = 0;
+					while ( ( elem = elems[ i++ ] ) ) {
+						node = elem.getAttributeNode( "id" );
+						if ( node && node.value === id ) {
+							return [ elem ];
+						}
+					}
+				}
+
+				return [];
+			}
+		};
+	}
+
+	// Tag
+	Expr.find[ "TAG" ] = support.getElementsByTagName ?
+		function( tag, context ) {
+			if ( typeof context.getElementsByTagName !== "undefined" ) {
+				return context.getElementsByTagName( tag );
+
+			// DocumentFragment nodes don't have gEBTN
+			} else if ( support.qsa ) {
+				return context.querySelectorAll( tag );
+			}
+		} :
+
+		function( tag, context ) {
+			var elem,
+				tmp = [],
+				i = 0,
+
+				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
+				results = context.getElementsByTagName( tag );
+
+			// Filter out possible comments
+			if ( tag === "*" ) {
+				while ( ( elem = results[ i++ ] ) ) {
+					if ( elem.nodeType === 1 ) {
+						tmp.push( elem );
+					}
+				}
+
+				return tmp;
+			}
+			return results;
+		};
+
+	// Class
+	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
+		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
+			return context.getElementsByClassName( className );
+		}
+	};
+
+	/* QSA/matchesSelector
+	---------------------------------------------------------------------- */
+
+	// QSA and matchesSelector support
+
+	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
+	rbuggyMatches = [];
+
+	// qSa(:focus) reports false when true (Chrome 21)
+	// We allow this because of a bug in IE8/9 that throws an error
+	// whenever `document.activeElement` is accessed on an iframe
+	// So, we allow :focus to pass through QSA all the time to avoid the IE error
+	// See https://bugs.jquery.com/ticket/13378
+	rbuggyQSA = [];
+
+	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
+
+		// Build QSA regex
+		// Regex strategy adopted from Diego Perini
+		assert( function( el ) {
+
+			var input;
+
+			// Select is set to empty string on purpose
+			// This is to test IE's treatment of not explicitly
+			// setting a boolean content attribute,
+			// since its presence should be enough
+			// https://bugs.jquery.com/ticket/12359
+			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
+				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
+				"<option selected=''></option></select>";
+
+			// Support: IE8, Opera 11-12.16
+			// Nothing should be selected when empty strings follow ^= or $= or *=
+			// The test attribute must be unknown in Opera but "safe" for WinRT
+			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
+			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
+				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
+			}
+
+			// Support: IE8
+			// Boolean attributes and "value" are not treated correctly
+			if ( !el.querySelectorAll( "[selected]" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
+			}
+
+			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
+			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
+				rbuggyQSA.push( "~=" );
+			}
+
+			// Support: IE 11+, Edge 15 - 18+
+			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
+			// Adding a temporary attribute to the document before the selection works
+			// around the issue.
+			// Interestingly, IE 10 & older don't seem to have the issue.
+			input = document.createElement( "input" );
+			input.setAttribute( "name", "" );
+			el.appendChild( input );
+			if ( !el.querySelectorAll( "[name='']" ).length ) {
+				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
+					whitespace + "*(?:''|\"\")" );
+			}
+
+			// Webkit/Opera - :checked should return selected option elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			// IE8 throws error here and will not see later tests
+			if ( !el.querySelectorAll( ":checked" ).length ) {
+				rbuggyQSA.push( ":checked" );
+			}
+
+			// Support: Safari 8+, iOS 8+
+			// https://bugs.webkit.org/show_bug.cgi?id=136851
+			// In-page `selector#id sibling-combinator selector` fails
+			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
+				rbuggyQSA.push( ".#.+[+~]" );
+			}
+
+			// Support: Firefox <=3.6 - 5 only
+			// Old Firefox doesn't throw on a badly-escaped identifier.
+			el.querySelectorAll( "\\\f" );
+			rbuggyQSA.push( "[\\r\\n\\f]" );
+		} );
+
+		assert( function( el ) {
+			el.innerHTML = "<a href='' disabled='disabled'></a>" +
+				"<select disabled='disabled'><option/></select>";
+
+			// Support: Windows 8 Native Apps
+			// The type and name attributes are restricted during .innerHTML assignment
+			var input = document.createElement( "input" );
+			input.setAttribute( "type", "hidden" );
+			el.appendChild( input ).setAttribute( "name", "D" );
+
+			// Support: IE8
+			// Enforce case-sensitivity of name attribute
+			if ( el.querySelectorAll( "[name=d]" ).length ) {
+				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
+			}
+
+			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
+			// IE8 throws error here and will not see later tests
+			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: IE9-11+
+			// IE's :disabled selector does not pick up the children of disabled fieldsets
+			docElem.appendChild( el ).disabled = true;
+			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
+				rbuggyQSA.push( ":enabled", ":disabled" );
+			}
+
+			// Support: Opera 10 - 11 only
+			// Opera 10-11 does not throw on post-comma invalid pseudos
+			el.querySelectorAll( "*,:x" );
+			rbuggyQSA.push( ",.*:" );
+		} );
+	}
+
+	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
+		docElem.webkitMatchesSelector ||
+		docElem.mozMatchesSelector ||
+		docElem.oMatchesSelector ||
+		docElem.msMatchesSelector ) ) ) ) {
+
+		assert( function( el ) {
+
+			// Check to see if it's possible to do matchesSelector
+			// on a disconnected node (IE 9)
+			support.disconnectedMatch = matches.call( el, "*" );
+
+			// This should fail with an exception
+			// Gecko does not error, returns false instead
+			matches.call( el, "[s!='']:x" );
+			rbuggyMatches.push( "!=", pseudos );
+		} );
+	}
+
+	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
+	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
+
+	/* Contains
+	---------------------------------------------------------------------- */
+	hasCompare = rnative.test( docElem.compareDocumentPosition );
+
+	// Element contains another
+	// Purposefully self-exclusive
+	// As in, an element does not contain itself
+	contains = hasCompare || rnative.test( docElem.contains ) ?
+		function( a, b ) {
+			var adown = a.nodeType === 9 ? a.documentElement : a,
+				bup = b && b.parentNode;
+			return a === bup || !!( bup && bup.nodeType === 1 && (
+				adown.contains ?
+					adown.contains( bup ) :
+					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
+			) );
+		} :
+		function( a, b ) {
+			if ( b ) {
+				while ( ( b = b.parentNode ) ) {
+					if ( b === a ) {
+						return true;
+					}
+				}
+			}
+			return false;
+		};
+
+	/* Sorting
+	---------------------------------------------------------------------- */
+
+	// Document order sorting
+	sortOrder = hasCompare ?
+	function( a, b ) {
+
+		// Flag for duplicate removal
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		// Sort on method existence if only one input has compareDocumentPosition
+		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
+		if ( compare ) {
+			return compare;
+		}
+
+		// Calculate position if both inputs belong to the same document
+		// Support: IE 11+, Edge 17 - 18+
+		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+		// two documents; shallow comparisons work.
+		// eslint-disable-next-line eqeqeq
+		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
+			a.compareDocumentPosition( b ) :
+
+			// Otherwise we know they are disconnected
+			1;
+
+		// Disconnected nodes
+		if ( compare & 1 ||
+			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
+
+			// Choose the first element that is related to our preferred document
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( a == document || a.ownerDocument == preferredDoc &&
+				contains( preferredDoc, a ) ) {
+				return -1;
+			}
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			// eslint-disable-next-line eqeqeq
+			if ( b == document || b.ownerDocument == preferredDoc &&
+				contains( preferredDoc, b ) ) {
+				return 1;
+			}
+
+			// Maintain original order
+			return sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+		}
+
+		return compare & 4 ? -1 : 1;
+	} :
+	function( a, b ) {
+
+		// Exit early if the nodes are identical
+		if ( a === b ) {
+			hasDuplicate = true;
+			return 0;
+		}
+
+		var cur,
+			i = 0,
+			aup = a.parentNode,
+			bup = b.parentNode,
+			ap = [ a ],
+			bp = [ b ];
+
+		// Parentless nodes are either documents or disconnected
+		if ( !aup || !bup ) {
+
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			return a == document ? -1 :
+				b == document ? 1 :
+				/* eslint-enable eqeqeq */
+				aup ? -1 :
+				bup ? 1 :
+				sortInput ?
+				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
+				0;
+
+		// If the nodes are siblings, we can do a quick check
+		} else if ( aup === bup ) {
+			return siblingCheck( a, b );
+		}
+
+		// Otherwise we need full lists of their ancestors for comparison
+		cur = a;
+		while ( ( cur = cur.parentNode ) ) {
+			ap.unshift( cur );
+		}
+		cur = b;
+		while ( ( cur = cur.parentNode ) ) {
+			bp.unshift( cur );
+		}
+
+		// Walk down the tree looking for a discrepancy
+		while ( ap[ i ] === bp[ i ] ) {
+			i++;
+		}
+
+		return i ?
+
+			// Do a sibling check if the nodes have a common ancestor
+			siblingCheck( ap[ i ], bp[ i ] ) :
+
+			// Otherwise nodes in our document sort first
+			// Support: IE 11+, Edge 17 - 18+
+			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+			// two documents; shallow comparisons work.
+			/* eslint-disable eqeqeq */
+			ap[ i ] == preferredDoc ? -1 :
+			bp[ i ] == preferredDoc ? 1 :
+			/* eslint-enable eqeqeq */
+			0;
+	};
+
+	return document;
+};
+
+Sizzle.matches = function( expr, elements ) {
+	return Sizzle( expr, null, null, elements );
+};
+
+Sizzle.matchesSelector = function( elem, expr ) {
+	setDocument( elem );
+
+	if ( support.matchesSelector && documentIsHTML &&
+		!nonnativeSelectorCache[ expr + " " ] &&
+		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
+		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
+
+		try {
+			var ret = matches.call( elem, expr );
+
+			// IE 9's matchesSelector returns false on disconnected nodes
+			if ( ret || support.disconnectedMatch ||
+
+				// As well, disconnected nodes are said to be in a document
+				// fragment in IE 9
+				elem.document && elem.document.nodeType !== 11 ) {
+				return ret;
+			}
+		} catch ( e ) {
+			nonnativeSelectorCache( expr, true );
+		}
+	}
+
+	return Sizzle( expr, document, null, [ elem ] ).length > 0;
+};
+
+Sizzle.contains = function( context, elem ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( context.ownerDocument || context ) != document ) {
+		setDocument( context );
+	}
+	return contains( context, elem );
+};
+
+Sizzle.attr = function( elem, name ) {
+
+	// Set document vars if needed
+	// Support: IE 11+, Edge 17 - 18+
+	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+	// two documents; shallow comparisons work.
+	// eslint-disable-next-line eqeqeq
+	if ( ( elem.ownerDocument || elem ) != document ) {
+		setDocument( elem );
+	}
+
+	var fn = Expr.attrHandle[ name.toLowerCase() ],
+
+		// Don't get fooled by Object.prototype properties (jQuery #13807)
+		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
+			fn( elem, name, !documentIsHTML ) :
+			undefined;
+
+	return val !== undefined ?
+		val :
+		support.attributes || !documentIsHTML ?
+			elem.getAttribute( name ) :
+			( val = elem.getAttributeNode( name ) ) && val.specified ?
+				val.value :
+				null;
+};
+
+Sizzle.escape = function( sel ) {
+	return ( sel + "" ).replace( rcssescape, fcssescape );
+};
+
+Sizzle.error = function( msg ) {
+	throw new Error( "Syntax error, unrecognized expression: " + msg );
+};
+
+/**
+ * Document sorting and removing duplicates
+ * @param {ArrayLike} results
+ */
+Sizzle.uniqueSort = function( results ) {
+	var elem,
+		duplicates = [],
+		j = 0,
+		i = 0;
+
+	// Unless we *know* we can detect duplicates, assume their presence
+	hasDuplicate = !support.detectDuplicates;
+	sortInput = !support.sortStable && results.slice( 0 );
+	results.sort( sortOrder );
+
+	if ( hasDuplicate ) {
+		while ( ( elem = results[ i++ ] ) ) {
+			if ( elem === results[ i ] ) {
+				j = duplicates.push( i );
+			}
+		}
+		while ( j-- ) {
+			results.splice( duplicates[ j ], 1 );
+		}
+	}
+
+	// Clear input after sorting to release objects
+	// See https://github.com/jquery/sizzle/pull/225
+	sortInput = null;
+
+	return results;
+};
+
+/**
+ * Utility function for retrieving the text value of an array of DOM nodes
+ * @param {Array|Element} elem
+ */
+getText = Sizzle.getText = function( elem ) {
+	var node,
+		ret = "",
+		i = 0,
+		nodeType = elem.nodeType;
+
+	if ( !nodeType ) {
+
+		// If no nodeType, this is expected to be an array
+		while ( ( node = elem[ i++ ] ) ) {
+
+			// Do not traverse comment nodes
+			ret += getText( node );
+		}
+	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
+
+		// Use textContent for elements
+		// innerText usage removed for consistency of new lines (jQuery #11153)
+		if ( typeof elem.textContent === "string" ) {
+			return elem.textContent;
+		} else {
+
+			// Traverse its children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				ret += getText( elem );
+			}
+		}
+	} else if ( nodeType === 3 || nodeType === 4 ) {
+		return elem.nodeValue;
+	}
+
+	// Do not include comment or processing instruction nodes
+
+	return ret;
+};
+
+Expr = Sizzle.selectors = {
+
+	// Can be adjusted by the user
+	cacheLength: 50,
+
+	createPseudo: markFunction,
+
+	match: matchExpr,
+
+	attrHandle: {},
+
+	find: {},
+
+	relative: {
+		">": { dir: "parentNode", first: true },
+		" ": { dir: "parentNode" },
+		"+": { dir: "previousSibling", first: true },
+		"~": { dir: "previousSibling" }
+	},
+
+	preFilter: {
+		"ATTR": function( match ) {
+			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
+
+			// Move the given value to match[3] whether quoted or unquoted
+			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
+				match[ 5 ] || "" ).replace( runescape, funescape );
+
+			if ( match[ 2 ] === "~=" ) {
+				match[ 3 ] = " " + match[ 3 ] + " ";
+			}
+
+			return match.slice( 0, 4 );
+		},
+
+		"CHILD": function( match ) {
+
+			/* matches from matchExpr["CHILD"]
+				1 type (only|nth|...)
+				2 what (child|of-type)
+				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
+				4 xn-component of xn+y argument ([+-]?\d*n|)
+				5 sign of xn-component
+				6 x of xn-component
+				7 sign of y-component
+				8 y of y-component
+			*/
+			match[ 1 ] = match[ 1 ].toLowerCase();
+
+			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
+
+				// nth-* requires argument
+				if ( !match[ 3 ] ) {
+					Sizzle.error( match[ 0 ] );
+				}
+
+				// numeric x and y parameters for Expr.filter.CHILD
+				// remember that false/true cast respectively to 0/1
+				match[ 4 ] = +( match[ 4 ] ?
+					match[ 5 ] + ( match[ 6 ] || 1 ) :
+					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
+				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
+
+				// other types prohibit arguments
+			} else if ( match[ 3 ] ) {
+				Sizzle.error( match[ 0 ] );
+			}
+
+			return match;
+		},
+
+		"PSEUDO": function( match ) {
+			var excess,
+				unquoted = !match[ 6 ] && match[ 2 ];
+
+			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
+				return null;
+			}
+
+			// Accept quoted arguments as-is
+			if ( match[ 3 ] ) {
+				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
+
+			// Strip excess characters from unquoted arguments
+			} else if ( unquoted && rpseudo.test( unquoted ) &&
+
+				// Get excess from tokenize (recursively)
+				( excess = tokenize( unquoted, true ) ) &&
+
+				// advance to the next closing parenthesis
+				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
+
+				// excess is a negative index
+				match[ 0 ] = match[ 0 ].slice( 0, excess );
+				match[ 2 ] = unquoted.slice( 0, excess );
+			}
+
+			// Return only captures needed by the pseudo filter method (type and argument)
+			return match.slice( 0, 3 );
+		}
+	},
+
+	filter: {
+
+		"TAG": function( nodeNameSelector ) {
+			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
+			return nodeNameSelector === "*" ?
+				function() {
+					return true;
+				} :
+				function( elem ) {
+					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
+				};
+		},
+
+		"CLASS": function( className ) {
+			var pattern = classCache[ className + " " ];
+
+			return pattern ||
+				( pattern = new RegExp( "(^|" + whitespace +
+					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
+						className, function( elem ) {
+							return pattern.test(
+								typeof elem.className === "string" && elem.className ||
+								typeof elem.getAttribute !== "undefined" &&
+									elem.getAttribute( "class" ) ||
+								""
+							);
+				} );
+		},
+
+		"ATTR": function( name, operator, check ) {
+			return function( elem ) {
+				var result = Sizzle.attr( elem, name );
+
+				if ( result == null ) {
+					return operator === "!=";
+				}
+				if ( !operator ) {
+					return true;
+				}
+
+				result += "";
+
+				/* eslint-disable max-len */
+
+				return operator === "=" ? result === check :
+					operator === "!=" ? result !== check :
+					operator === "^=" ? check && result.indexOf( check ) === 0 :
+					operator === "*=" ? check && result.indexOf( check ) > -1 :
+					operator === "$=" ? check && result.slice( -check.length ) === check :
+					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
+					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
+					false;
+				/* eslint-enable max-len */
+
+			};
+		},
+
+		"CHILD": function( type, what, _argument, first, last ) {
+			var simple = type.slice( 0, 3 ) !== "nth",
+				forward = type.slice( -4 ) !== "last",
+				ofType = what === "of-type";
+
+			return first === 1 && last === 0 ?
+
+				// Shortcut for :nth-*(n)
+				function( elem ) {
+					return !!elem.parentNode;
+				} :
+
+				function( elem, _context, xml ) {
+					var cache, uniqueCache, outerCache, node, nodeIndex, start,
+						dir = simple !== forward ? "nextSibling" : "previousSibling",
+						parent = elem.parentNode,
+						name = ofType && elem.nodeName.toLowerCase(),
+						useCache = !xml && !ofType,
+						diff = false;
+
+					if ( parent ) {
+
+						// :(first|last|only)-(child|of-type)
+						if ( simple ) {
+							while ( dir ) {
+								node = elem;
+								while ( ( node = node[ dir ] ) ) {
+									if ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) {
+
+										return false;
+									}
+								}
+
+								// Reverse direction for :only-* (if we haven't yet done so)
+								start = dir = type === "only" && !start && "nextSibling";
+							}
+							return true;
+						}
+
+						start = [ forward ? parent.firstChild : parent.lastChild ];
+
+						// non-xml :nth-child(...) stores cache data on `parent`
+						if ( forward && useCache ) {
+
+							// Seek `elem` from a previously-cached index
+
+							// ...in a gzip-friendly way
+							node = parent;
+							outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+							// Support: IE <9 only
+							// Defend against cloned attroperties (jQuery gh-1709)
+							uniqueCache = outerCache[ node.uniqueID ] ||
+								( outerCache[ node.uniqueID ] = {} );
+
+							cache = uniqueCache[ type ] || [];
+							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+							diff = nodeIndex && cache[ 2 ];
+							node = nodeIndex && parent.childNodes[ nodeIndex ];
+
+							while ( ( node = ++nodeIndex && node && node[ dir ] ||
+
+								// Fallback to seeking `elem` from the start
+								( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+								// When found, cache indexes on `parent` and break
+								if ( node.nodeType === 1 && ++diff && node === elem ) {
+									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
+									break;
+								}
+							}
+
+						} else {
+
+							// Use previously-cached element index if available
+							if ( useCache ) {
+
+								// ...in a gzip-friendly way
+								node = elem;
+								outerCache = node[ expando ] || ( node[ expando ] = {} );
+
+								// Support: IE <9 only
+								// Defend against cloned attroperties (jQuery gh-1709)
+								uniqueCache = outerCache[ node.uniqueID ] ||
+									( outerCache[ node.uniqueID ] = {} );
+
+								cache = uniqueCache[ type ] || [];
+								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
+								diff = nodeIndex;
+							}
+
+							// xml :nth-child(...)
+							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
+							if ( diff === false ) {
+
+								// Use the same loop as above to seek `elem` from the start
+								while ( ( node = ++nodeIndex && node && node[ dir ] ||
+									( diff = nodeIndex = 0 ) || start.pop() ) ) {
+
+									if ( ( ofType ?
+										node.nodeName.toLowerCase() === name :
+										node.nodeType === 1 ) &&
+										++diff ) {
+
+										// Cache the index of each encountered element
+										if ( useCache ) {
+											outerCache = node[ expando ] ||
+												( node[ expando ] = {} );
+
+											// Support: IE <9 only
+											// Defend against cloned attroperties (jQuery gh-1709)
+											uniqueCache = outerCache[ node.uniqueID ] ||
+												( outerCache[ node.uniqueID ] = {} );
+
+											uniqueCache[ type ] = [ dirruns, diff ];
+										}
+
+										if ( node === elem ) {
+											break;
+										}
+									}
+								}
+							}
+						}
+
+						// Incorporate the offset, then check against cycle size
+						diff -= last;
+						return diff === first || ( diff % first === 0 && diff / first >= 0 );
+					}
+				};
+		},
+
+		"PSEUDO": function( pseudo, argument ) {
+
+			// pseudo-class names are case-insensitive
+			// http://www.w3.org/TR/selectors/#pseudo-classes
+			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
+			// Remember that setFilters inherits from pseudos
+			var args,
+				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
+					Sizzle.error( "unsupported pseudo: " + pseudo );
+
+			// The user may use createPseudo to indicate that
+			// arguments are needed to create the filter function
+			// just as Sizzle does
+			if ( fn[ expando ] ) {
+				return fn( argument );
+			}
+
+			// But maintain support for old signatures
+			if ( fn.length > 1 ) {
+				args = [ pseudo, pseudo, "", argument ];
+				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
+					markFunction( function( seed, matches ) {
+						var idx,
+							matched = fn( seed, argument ),
+							i = matched.length;
+						while ( i-- ) {
+							idx = indexOf( seed, matched[ i ] );
+							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
+						}
+					} ) :
+					function( elem ) {
+						return fn( elem, 0, args );
+					};
+			}
+
+			return fn;
+		}
+	},
+
+	pseudos: {
+
+		// Potentially complex pseudos
+		"not": markFunction( function( selector ) {
+
+			// Trim the selector passed to compile
+			// to avoid treating leading and trailing
+			// spaces as combinators
+			var input = [],
+				results = [],
+				matcher = compile( selector.replace( rtrim, "$1" ) );
+
+			return matcher[ expando ] ?
+				markFunction( function( seed, matches, _context, xml ) {
+					var elem,
+						unmatched = matcher( seed, null, xml, [] ),
+						i = seed.length;
+
+					// Match elements unmatched by `matcher`
+					while ( i-- ) {
+						if ( ( elem = unmatched[ i ] ) ) {
+							seed[ i ] = !( matches[ i ] = elem );
+						}
+					}
+				} ) :
+				function( elem, _context, xml ) {
+					input[ 0 ] = elem;
+					matcher( input, null, xml, results );
+
+					// Don't keep the element (issue #299)
+					input[ 0 ] = null;
+					return !results.pop();
+				};
+		} ),
+
+		"has": markFunction( function( selector ) {
+			return function( elem ) {
+				return Sizzle( selector, elem ).length > 0;
+			};
+		} ),
+
+		"contains": markFunction( function( text ) {
+			text = text.replace( runescape, funescape );
+			return function( elem ) {
+				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
+			};
+		} ),
+
+		// "Whether an element is represented by a :lang() selector
+		// is based solely on the element's language value
+		// being equal to the identifier C,
+		// or beginning with the identifier C immediately followed by "-".
+		// The matching of C against the element's language value is performed case-insensitively.
+		// The identifier C does not have to be a valid language name."
+		// http://www.w3.org/TR/selectors/#lang-pseudo
+		"lang": markFunction( function( lang ) {
+
+			// lang value must be a valid identifier
+			if ( !ridentifier.test( lang || "" ) ) {
+				Sizzle.error( "unsupported lang: " + lang );
+			}
+			lang = lang.replace( runescape, funescape ).toLowerCase();
+			return function( elem ) {
+				var elemLang;
+				do {
+					if ( ( elemLang = documentIsHTML ?
+						elem.lang :
+						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
+
+						elemLang = elemLang.toLowerCase();
+						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
+					}
+				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
+				return false;
+			};
+		} ),
+
+		// Miscellaneous
+		"target": function( elem ) {
+			var hash = window.location && window.location.hash;
+			return hash && hash.slice( 1 ) === elem.id;
+		},
+
+		"root": function( elem ) {
+			return elem === docElem;
+		},
+
+		"focus": function( elem ) {
+			return elem === document.activeElement &&
+				( !document.hasFocus || document.hasFocus() ) &&
+				!!( elem.type || elem.href || ~elem.tabIndex );
+		},
+
+		// Boolean properties
+		"enabled": createDisabledPseudo( false ),
+		"disabled": createDisabledPseudo( true ),
+
+		"checked": function( elem ) {
+
+			// In CSS3, :checked should return both checked and selected elements
+			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
+			var nodeName = elem.nodeName.toLowerCase();
+			return ( nodeName === "input" && !!elem.checked ) ||
+				( nodeName === "option" && !!elem.selected );
+		},
+
+		"selected": function( elem ) {
+
+			// Accessing this property makes selected-by-default
+			// options in Safari work properly
+			if ( elem.parentNode ) {
+				// eslint-disable-next-line no-unused-expressions
+				elem.parentNode.selectedIndex;
+			}
+
+			return elem.selected === true;
+		},
+
+		// Contents
+		"empty": function( elem ) {
+
+			// http://www.w3.org/TR/selectors/#empty-pseudo
+			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
+			//   but not by others (comment: 8; processing instruction: 7; etc.)
+			// nodeType < 6 works because attributes (2) do not appear as children
+			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
+				if ( elem.nodeType < 6 ) {
+					return false;
+				}
+			}
+			return true;
+		},
+
+		"parent": function( elem ) {
+			return !Expr.pseudos[ "empty" ]( elem );
+		},
+
+		// Element/input types
+		"header": function( elem ) {
+			return rheader.test( elem.nodeName );
+		},
+
+		"input": function( elem ) {
+			return rinputs.test( elem.nodeName );
+		},
+
+		"button": function( elem ) {
+			var name = elem.nodeName.toLowerCase();
+			return name === "input" && elem.type === "button" || name === "button";
+		},
+
+		"text": function( elem ) {
+			var attr;
+			return elem.nodeName.toLowerCase() === "input" &&
+				elem.type === "text" &&
+
+				// Support: IE<8
+				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
+				( ( attr = elem.getAttribute( "type" ) ) == null ||
+					attr.toLowerCase() === "text" );
+		},
+
+		// Position-in-collection
+		"first": createPositionalPseudo( function() {
+			return [ 0 ];
+		} ),
+
+		"last": createPositionalPseudo( function( _matchIndexes, length ) {
+			return [ length - 1 ];
+		} ),
+
+		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
+			return [ argument < 0 ? argument + length : argument ];
+		} ),
+
+		"even": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 0;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"odd": createPositionalPseudo( function( matchIndexes, length ) {
+			var i = 1;
+			for ( ; i < length; i += 2 ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ?
+				argument + length :
+				argument > length ?
+					length :
+					argument;
+			for ( ; --i >= 0; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} ),
+
+		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
+			var i = argument < 0 ? argument + length : argument;
+			for ( ; ++i < length; ) {
+				matchIndexes.push( i );
+			}
+			return matchIndexes;
+		} )
+	}
+};
+
+Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
+
+// Add button/input type pseudos
+for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
+	Expr.pseudos[ i ] = createInputPseudo( i );
+}
+for ( i in { submit: true, reset: true } ) {
+	Expr.pseudos[ i ] = createButtonPseudo( i );
+}
+
+// Easy API for creating new setFilters
+function setFilters() {}
+setFilters.prototype = Expr.filters = Expr.pseudos;
+Expr.setFilters = new setFilters();
+
+tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
+	var matched, match, tokens, type,
+		soFar, groups, preFilters,
+		cached = tokenCache[ selector + " " ];
+
+	if ( cached ) {
+		return parseOnly ? 0 : cached.slice( 0 );
+	}
+
+	soFar = selector;
+	groups = [];
+	preFilters = Expr.preFilter;
+
+	while ( soFar ) {
+
+		// Comma and first run
+		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
+			if ( match ) {
+
+				// Don't consume trailing commas as valid
+				soFar = soFar.slice( match[ 0 ].length ) || soFar;
+			}
+			groups.push( ( tokens = [] ) );
+		}
+
+		matched = false;
+
+		// Combinators
+		if ( ( match = rcombinators.exec( soFar ) ) ) {
+			matched = match.shift();
+			tokens.push( {
+				value: matched,
+
+				// Cast descendant combinators to space
+				type: match[ 0 ].replace( rtrim, " " )
+			} );
+			soFar = soFar.slice( matched.length );
+		}
+
+		// Filters
+		for ( type in Expr.filter ) {
+			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
+				( match = preFilters[ type ]( match ) ) ) ) {
+				matched = match.shift();
+				tokens.push( {
+					value: matched,
+					type: type,
+					matches: match
+				} );
+				soFar = soFar.slice( matched.length );
+			}
+		}
+
+		if ( !matched ) {
+			break;
+		}
+	}
+
+	// Return the length of the invalid excess
+	// if we're just parsing
+	// Otherwise, throw an error or return tokens
+	return parseOnly ?
+		soFar.length :
+		soFar ?
+			Sizzle.error( selector ) :
+
+			// Cache the tokens
+			tokenCache( selector, groups ).slice( 0 );
+};
+
+function toSelector( tokens ) {
+	var i = 0,
+		len = tokens.length,
+		selector = "";
+	for ( ; i < len; i++ ) {
+		selector += tokens[ i ].value;
+	}
+	return selector;
+}
+
+function addCombinator( matcher, combinator, base ) {
+	var dir = combinator.dir,
+		skip = combinator.next,
+		key = skip || dir,
+		checkNonElements = base && key === "parentNode",
+		doneName = done++;
+
+	return combinator.first ?
+
+		// Check against closest ancestor/preceding element
+		function( elem, context, xml ) {
+			while ( ( elem = elem[ dir ] ) ) {
+				if ( elem.nodeType === 1 || checkNonElements ) {
+					return matcher( elem, context, xml );
+				}
+			}
+			return false;
+		} :
+
+		// Check against all ancestor/preceding elements
+		function( elem, context, xml ) {
+			var oldCache, uniqueCache, outerCache,
+				newCache = [ dirruns, doneName ];
+
+			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
+			if ( xml ) {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						if ( matcher( elem, context, xml ) ) {
+							return true;
+						}
+					}
+				}
+			} else {
+				while ( ( elem = elem[ dir ] ) ) {
+					if ( elem.nodeType === 1 || checkNonElements ) {
+						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
+
+						// Support: IE <9 only
+						// Defend against cloned attroperties (jQuery gh-1709)
+						uniqueCache = outerCache[ elem.uniqueID ] ||
+							( outerCache[ elem.uniqueID ] = {} );
+
+						if ( skip && skip === elem.nodeName.toLowerCase() ) {
+							elem = elem[ dir ] || elem;
+						} else if ( ( oldCache = uniqueCache[ key ] ) &&
+							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
+
+							// Assign to newCache so results back-propagate to previous elements
+							return ( newCache[ 2 ] = oldCache[ 2 ] );
+						} else {
+
+							// Reuse newcache so results back-propagate to previous elements
+							uniqueCache[ key ] = newCache;
+
+							// A match means we're done; a fail means we have to keep checking
+							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
+								return true;
+							}
+						}
+					}
+				}
+			}
+			return false;
+		};
+}
+
+function elementMatcher( matchers ) {
+	return matchers.length > 1 ?
+		function( elem, context, xml ) {
+			var i = matchers.length;
+			while ( i-- ) {
+				if ( !matchers[ i ]( elem, context, xml ) ) {
+					return false;
+				}
+			}
+			return true;
+		} :
+		matchers[ 0 ];
+}
+
+function multipleContexts( selector, contexts, results ) {
+	var i = 0,
+		len = contexts.length;
+	for ( ; i < len; i++ ) {
+		Sizzle( selector, contexts[ i ], results );
+	}
+	return results;
+}
+
+function condense( unmatched, map, filter, context, xml ) {
+	var elem,
+		newUnmatched = [],
+		i = 0,
+		len = unmatched.length,
+		mapped = map != null;
+
+	for ( ; i < len; i++ ) {
+		if ( ( elem = unmatched[ i ] ) ) {
+			if ( !filter || filter( elem, context, xml ) ) {
+				newUnmatched.push( elem );
+				if ( mapped ) {
+					map.push( i );
+				}
+			}
+		}
+	}
+
+	return newUnmatched;
+}
+
+function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
+	if ( postFilter && !postFilter[ expando ] ) {
+		postFilter = setMatcher( postFilter );
+	}
+	if ( postFinder && !postFinder[ expando ] ) {
+		postFinder = setMatcher( postFinder, postSelector );
+	}
+	return markFunction( function( seed, results, context, xml ) {
+		var temp, i, elem,
+			preMap = [],
+			postMap = [],
+			preexisting = results.length,
+
+			// Get initial elements from seed or context
+			elems = seed || multipleContexts(
+				selector || "*",
+				context.nodeType ? [ context ] : context,
+				[]
+			),
+
+			// Prefilter to get matcher input, preserving a map for seed-results synchronization
+			matcherIn = preFilter && ( seed || !selector ) ?
+				condense( elems, preMap, preFilter, context, xml ) :
+				elems,
+
+			matcherOut = matcher ?
+
+				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
+				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
+
+					// ...intermediate processing is necessary
+					[] :
+
+					// ...otherwise use results directly
+					results :
+				matcherIn;
+
+		// Find primary matches
+		if ( matcher ) {
+			matcher( matcherIn, matcherOut, context, xml );
+		}
+
+		// Apply postFilter
+		if ( postFilter ) {
+			temp = condense( matcherOut, postMap );
+			postFilter( temp, [], context, xml );
+
+			// Un-match failing elements by moving them back to matcherIn
+			i = temp.length;
+			while ( i-- ) {
+				if ( ( elem = temp[ i ] ) ) {
+					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
+				}
+			}
+		}
+
+		if ( seed ) {
+			if ( postFinder || preFilter ) {
+				if ( postFinder ) {
+
+					// Get the final matcherOut by condensing this intermediate into postFinder contexts
+					temp = [];
+					i = matcherOut.length;
+					while ( i-- ) {
+						if ( ( elem = matcherOut[ i ] ) ) {
+
+							// Restore matcherIn since elem is not yet a final match
+							temp.push( ( matcherIn[ i ] = elem ) );
+						}
+					}
+					postFinder( null, ( matcherOut = [] ), temp, xml );
+				}
+
+				// Move matched elements from seed to results to keep them synchronized
+				i = matcherOut.length;
+				while ( i-- ) {
+					if ( ( elem = matcherOut[ i ] ) &&
+						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
+
+						seed[ temp ] = !( results[ temp ] = elem );
+					}
+				}
+			}
+
+		// Add elements to results, through postFinder if defined
+		} else {
+			matcherOut = condense(
+				matcherOut === results ?
+					matcherOut.splice( preexisting, matcherOut.length ) :
+					matcherOut
+			);
+			if ( postFinder ) {
+				postFinder( null, results, matcherOut, xml );
+			} else {
+				push.apply( results, matcherOut );
+			}
+		}
+	} );
+}
+
+function matcherFromTokens( tokens ) {
+	var checkContext, matcher, j,
+		len = tokens.length,
+		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
+		implicitRelative = leadingRelative || Expr.relative[ " " ],
+		i = leadingRelative ? 1 : 0,
+
+		// The foundational matcher ensures that elements are reachable from top-level context(s)
+		matchContext = addCombinator( function( elem ) {
+			return elem === checkContext;
+		}, implicitRelative, true ),
+		matchAnyContext = addCombinator( function( elem ) {
+			return indexOf( checkContext, elem ) > -1;
+		}, implicitRelative, true ),
+		matchers = [ function( elem, context, xml ) {
+			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
+				( checkContext = context ).nodeType ?
+					matchContext( elem, context, xml ) :
+					matchAnyContext( elem, context, xml ) );
+
+			// Avoid hanging onto element (issue #299)
+			checkContext = null;
+			return ret;
+		} ];
+
+	for ( ; i < len; i++ ) {
+		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
+			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
+		} else {
+			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
+
+			// Return special upon seeing a positional matcher
+			if ( matcher[ expando ] ) {
+
+				// Find the next relative operator (if any) for proper handling
+				j = ++i;
+				for ( ; j < len; j++ ) {
+					if ( Expr.relative[ tokens[ j ].type ] ) {
+						break;
+					}
+				}
+				return setMatcher(
+					i > 1 && elementMatcher( matchers ),
+					i > 1 && toSelector(
+
+					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
+					tokens
+						.slice( 0, i - 1 )
+						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
+					).replace( rtrim, "$1" ),
+					matcher,
+					i < j && matcherFromTokens( tokens.slice( i, j ) ),
+					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
+					j < len && toSelector( tokens )
+				);
+			}
+			matchers.push( matcher );
+		}
+	}
+
+	return elementMatcher( matchers );
+}
+
+function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
+	var bySet = setMatchers.length > 0,
+		byElement = elementMatchers.length > 0,
+		superMatcher = function( seed, context, xml, results, outermost ) {
+			var elem, j, matcher,
+				matchedCount = 0,
+				i = "0",
+				unmatched = seed && [],
+				setMatched = [],
+				contextBackup = outermostContext,
+
+				// We must always have either seed elements or outermost context
+				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
+
+				// Use integer dirruns iff this is the outermost matcher
+				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
+				len = elems.length;
+
+			if ( outermost ) {
+
+				// Support: IE 11+, Edge 17 - 18+
+				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+				// two documents; shallow comparisons work.
+				// eslint-disable-next-line eqeqeq
+				outermostContext = context == document || context || outermost;
+			}
+
+			// Add elements passing elementMatchers directly to results
+			// Support: IE<9, Safari
+			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
+			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
+				if ( byElement && elem ) {
+					j = 0;
+
+					// Support: IE 11+, Edge 17 - 18+
+					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
+					// two documents; shallow comparisons work.
+					// eslint-disable-next-line eqeqeq
+					if ( !context && elem.ownerDocument != document ) {
+						setDocument( elem );
+						xml = !documentIsHTML;
+					}
+					while ( ( matcher = elementMatchers[ j++ ] ) ) {
+						if ( matcher( elem, context || document, xml ) ) {
+							results.push( elem );
+							break;
+						}
+					}
+					if ( outermost ) {
+						dirruns = dirrunsUnique;
+					}
+				}
+
+				// Track unmatched elements for set filters
+				if ( bySet ) {
+
+					// They will have gone through all possible matchers
+					if ( ( elem = !matcher && elem ) ) {
+						matchedCount--;
+					}
+
+					// Lengthen the array for every element, matched or not
+					if ( seed ) {
+						unmatched.push( elem );
+					}
+				}
+			}
+
+			// `i` is now the count of elements visited above, and adding it to `matchedCount`
+			// makes the latter nonnegative.
+			matchedCount += i;
+
+			// Apply set filters to unmatched elements
+			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
+			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
+			// no element matchers and no seed.
+			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
+			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
+			// numerically zero.
+			if ( bySet && i !== matchedCount ) {
+				j = 0;
+				while ( ( matcher = setMatchers[ j++ ] ) ) {
+					matcher( unmatched, setMatched, context, xml );
+				}
+
+				if ( seed ) {
+
+					// Reintegrate element matches to eliminate the need for sorting
+					if ( matchedCount > 0 ) {
+						while ( i-- ) {
+							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
+								setMatched[ i ] = pop.call( results );
+							}
+						}
+					}
+
+					// Discard index placeholder values to get only actual matches
+					setMatched = condense( setMatched );
+				}
+
+				// Add matches to results
+				push.apply( results, setMatched );
+
+				// Seedless set matches succeeding multiple successful matchers stipulate sorting
+				if ( outermost && !seed && setMatched.length > 0 &&
+					( matchedCount + setMatchers.length ) > 1 ) {
+
+					Sizzle.uniqueSort( results );
+				}
+			}
+
+			// Override manipulation of globals by nested matchers
+			if ( outermost ) {
+				dirruns = dirrunsUnique;
+				outermostContext = contextBackup;
+			}
+
+			return unmatched;
+		};
+
+	return bySet ?
+		markFunction( superMatcher ) :
+		superMatcher;
+}
+
+compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
+	var i,
+		setMatchers = [],
+		elementMatchers = [],
+		cached = compilerCache[ selector + " " ];
+
+	if ( !cached ) {
+
+		// Generate a function of recursive functions that can be used to check each element
+		if ( !match ) {
+			match = tokenize( selector );
+		}
+		i = match.length;
+		while ( i-- ) {
+			cached = matcherFromTokens( match[ i ] );
+			if ( cached[ expando ] ) {
+				setMatchers.push( cached );
+			} else {
+				elementMatchers.push( cached );
+			}
+		}
+
+		// Cache the compiled function
+		cached = compilerCache(
+			selector,
+			matcherFromGroupMatchers( elementMatchers, setMatchers )
+		);
+
+		// Save selector and tokenization
+		cached.selector = selector;
+	}
+	return cached;
+};
+
+/**
+ * A low-level selection function that works with Sizzle's compiled
+ *  selector functions
+ * @param {String|Function} selector A selector or a pre-compiled
+ *  selector function built with Sizzle.compile
+ * @param {Element} context
+ * @param {Array} [results]
+ * @param {Array} [seed] A set of elements to match against
+ */
+select = Sizzle.select = function( selector, context, results, seed ) {
+	var i, tokens, token, type, find,
+		compiled = typeof selector === "function" && selector,
+		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
+
+	results = results || [];
+
+	// Try to minimize operations if there is only one selector in the list and no seed
+	// (the latter of which guarantees us context)
+	if ( match.length === 1 ) {
+
+		// Reduce context if the leading compound selector is an ID
+		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
+		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
+			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
+
+			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
+				.replace( runescape, funescape ), context ) || [] )[ 0 ];
+			if ( !context ) {
+				return results;
+
+			// Precompiled matchers will still verify ancestry, so step up a level
+			} else if ( compiled ) {
+				context = context.parentNode;
+			}
+
+			selector = selector.slice( tokens.shift().value.length );
+		}
+
+		// Fetch a seed set for right-to-left matching
+		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
+		while ( i-- ) {
+			token = tokens[ i ];
+
+			// Abort if we hit a combinator
+			if ( Expr.relative[ ( type = token.type ) ] ) {
+				break;
+			}
+			if ( ( find = Expr.find[ type ] ) ) {
+
+				// Search, expanding context for leading sibling combinators
+				if ( ( seed = find(
+					token.matches[ 0 ].replace( runescape, funescape ),
+					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
+						context
+				) ) ) {
+
+					// If seed is empty or no tokens remain, we can return early
+					tokens.splice( i, 1 );
+					selector = seed.length && toSelector( tokens );
+					if ( !selector ) {
+						push.apply( results, seed );
+						return results;
+					}
+
+					break;
+				}
+			}
+		}
+	}
+
+	// Compile and execute a filtering function if one is not provided
+	// Provide `match` to avoid retokenization if we modified the selector above
+	( compiled || compile( selector, match ) )(
+		seed,
+		context,
+		!documentIsHTML,
+		results,
+		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
+	);
+	return results;
+};
+
+// One-time assignments
+
+// Sort stability
+support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
+
+// Support: Chrome 14-35+
+// Always assume duplicates if they aren't passed to the comparison function
+support.detectDuplicates = !!hasDuplicate;
+
+// Initialize against the default document
+setDocument();
+
+// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
+// Detached nodes confoundingly follow *each other*
+support.sortDetached = assert( function( el ) {
+
+	// Should return 1, but returns 4 (following)
+	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
+} );
+
+// Support: IE<8
+// Prevent attribute/property "interpolation"
+// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
+if ( !assert( function( el ) {
+	el.innerHTML = "<a href='#'></a>";
+	return el.firstChild.getAttribute( "href" ) === "#";
+} ) ) {
+	addHandle( "type|href|height|width", function( elem, name, isXML ) {
+		if ( !isXML ) {
+			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
+		}
+	} );
+}
+
+// Support: IE<9
+// Use defaultValue in place of getAttribute("value")
+if ( !support.attributes || !assert( function( el ) {
+	el.innerHTML = "<input/>";
+	el.firstChild.setAttribute( "value", "" );
+	return el.firstChild.getAttribute( "value" ) === "";
+} ) ) {
+	addHandle( "value", function( elem, _name, isXML ) {
+		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
+			return elem.defaultValue;
+		}
+	} );
+}
+
+// Support: IE<9
+// Use getAttributeNode to fetch booleans when getAttribute lies
+if ( !assert( function( el ) {
+	return el.getAttribute( "disabled" ) == null;
+} ) ) {
+	addHandle( booleans, function( elem, name, isXML ) {
+		var val;
+		if ( !isXML ) {
+			return elem[ name ] === true ? name.toLowerCase() :
+				( val = elem.getAttributeNode( name ) ) && val.specified ?
+					val.value :
+					null;
+		}
+	} );
+}
+
+return Sizzle;
+
+} )( window );
+
+
+
+jQuery.find = Sizzle;
+jQuery.expr = Sizzle.selectors;
+
+// Deprecated
+jQuery.expr[ ":" ] = jQuery.expr.pseudos;
+jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
+jQuery.text = Sizzle.getText;
+jQuery.isXMLDoc = Sizzle.isXML;
+jQuery.contains = Sizzle.contains;
+jQuery.escapeSelector = Sizzle.escape;
+
+
+
+
+var dir = function( elem, dir, until ) {
+	var matched = [],
+		truncate = until !== undefined;
+
+	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
+		if ( elem.nodeType === 1 ) {
+			if ( truncate && jQuery( elem ).is( until ) ) {
+				break;
+			}
+			matched.push( elem );
+		}
+	}
+	return matched;
+};
+
+
+var siblings = function( n, elem ) {
+	var matched = [];
+
+	for ( ; n; n = n.nextSibling ) {
+		if ( n.nodeType === 1 && n !== elem ) {
+			matched.push( n );
+		}
+	}
+
+	return matched;
+};
+
+
+var rneedsContext = jQuery.expr.match.needsContext;
+
+
+
+function nodeName( elem, name ) {
+
+	return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
+
+}
+var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
+
+
+
+// Implement the identical functionality for filter and not
+function winnow( elements, qualifier, not ) {
+	if ( isFunction( qualifier ) ) {
+		return jQuery.grep( elements, function( elem, i ) {
+			return !!qualifier.call( elem, i, elem ) !== not;
+		} );
+	}
+
+	// Single element
+	if ( qualifier.nodeType ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( elem === qualifier ) !== not;
+		} );
+	}
+
+	// Arraylike of elements (jQuery, arguments, Array)
+	if ( typeof qualifier !== "string" ) {
+		return jQuery.grep( elements, function( elem ) {
+			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
+		} );
+	}
+
+	// Filtered directly for both simple and complex selectors
+	return jQuery.filter( qualifier, elements, not );
+}
+
+jQuery.filter = function( expr, elems, not ) {
+	var elem = elems[ 0 ];
+
+	if ( not ) {
+		expr = ":not(" + expr + ")";
+	}
+
+	if ( elems.length === 1 && elem.nodeType === 1 ) {
+		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
+	}
+
+	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
+		return elem.nodeType === 1;
+	} ) );
+};
+
+jQuery.fn.extend( {
+	find: function( selector ) {
+		var i, ret,
+			len = this.length,
+			self = this;
+
+		if ( typeof selector !== "string" ) {
+			return this.pushStack( jQuery( selector ).filter( function() {
+				for ( i = 0; i < len; i++ ) {
+					if ( jQuery.contains( self[ i ], this ) ) {
+						return true;
+					}
+				}
+			} ) );
+		}
+
+		ret = this.pushStack( [] );
+
+		for ( i = 0; i < len; i++ ) {
+			jQuery.find( selector, self[ i ], ret );
+		}
+
+		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
+	},
+	filter: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], false ) );
+	},
+	not: function( selector ) {
+		return this.pushStack( winnow( this, selector || [], true ) );
+	},
+	is: function( selector ) {
+		return !!winnow(
+			this,
+
+			// If this is a positional/relative selector, check membership in the returned set
+			// so $("p:first").is("p:last") won't return true for a doc with two "p".
+			typeof selector === "string" && rneedsContext.test( selector ) ?
+				jQuery( selector ) :
+				selector || [],
+			false
+		).length;
+	}
+} );
+
+
+// Initialize a jQuery object
+
+
+// A central reference to the root jQuery(document)
+var rootjQuery,
+
+	// A simple way to check for HTML strings
+	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
+	// Strict HTML recognition (#11290: must start with <)
+	// Shortcut simple #id case for speed
+	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
+
+	init = jQuery.fn.init = function( selector, context, root ) {
+		var match, elem;
+
+		// HANDLE: $(""), $(null), $(undefined), $(false)
+		if ( !selector ) {
+			return this;
+		}
+
+		// Method init() accepts an alternate rootjQuery
+		// so migrate can support jQuery.sub (gh-2101)
+		root = root || rootjQuery;
+
+		// Handle HTML strings
+		if ( typeof selector === "string" ) {
+			if ( selector[ 0 ] === "<" &&
+				selector[ selector.length - 1 ] === ">" &&
+				selector.length >= 3 ) {
+
+				// Assume that strings that start and end with <> are HTML and skip the regex check
+				match = [ null, selector, null ];
+
+			} else {
+				match = rquickExpr.exec( selector );
+			}
+
+			// Match html or make sure no context is specified for #id
+			if ( match && ( match[ 1 ] || !context ) ) {
+
+				// HANDLE: $(html) -> $(array)
+				if ( match[ 1 ] ) {
+					context = context instanceof jQuery ? context[ 0 ] : context;
+
+					// Option to run scripts is true for back-compat
+					// Intentionally let the error be thrown if parseHTML is not present
+					jQuery.merge( this, jQuery.parseHTML(
+						match[ 1 ],
+						context && context.nodeType ? context.ownerDocument || context : document,
+						true
+					) );
+
+					// HANDLE: $(html, props)
+					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
+						for ( match in context ) {
+
+							// Properties of context are called as methods if possible
+							if ( isFunction( this[ match ] ) ) {
+								this[ match ]( context[ match ] );
+
+							// ...and otherwise set as attributes
+							} else {
+								this.attr( match, context[ match ] );
+							}
+						}
+					}
+
+					return this;
+
+				// HANDLE: $(#id)
+				} else {
+					elem = document.getElementById( match[ 2 ] );
+
+					if ( elem ) {
+
+						// Inject the element directly into the jQuery object
+						this[ 0 ] = elem;
+						this.length = 1;
+					}
+					return this;
+				}
+
+			// HANDLE: $(expr, $(...))
+			} else if ( !context || context.jquery ) {
+				return ( context || root ).find( selector );
+
+			// HANDLE: $(expr, context)
+			// (which is just equivalent to: $(context).find(expr)
+			} else {
+				return this.constructor( context ).find( selector );
+			}
+
+		// HANDLE: $(DOMElement)
+		} else if ( selector.nodeType ) {
+			this[ 0 ] = selector;
+			this.length = 1;
+			return this;
+
+		// HANDLE: $(function)
+		// Shortcut for document ready
+		} else if ( isFunction( selector ) ) {
+			return root.ready !== undefined ?
+				root.ready( selector ) :
+
+				// Execute immediately if ready is not present
+				selector( jQuery );
+		}
+
+		return jQuery.makeArray( selector, this );
+	};
+
+// Give the init function the jQuery prototype for later instantiation
+init.prototype = jQuery.fn;
+
+// Initialize central reference
+rootjQuery = jQuery( document );
+
+
+var rparentsprev = /^(?:parents|prev(?:Until|All))/,
+
+	// Methods guaranteed to produce a unique set when starting from a unique set
+	guaranteedUnique = {
+		children: true,
+		contents: true,
+		next: true,
+		prev: true
+	};
+
+jQuery.fn.extend( {
+	has: function( target ) {
+		var targets = jQuery( target, this ),
+			l = targets.length;
+
+		return this.filter( function() {
+			var i = 0;
+			for ( ; i < l; i++ ) {
+				if ( jQuery.contains( this, targets[ i ] ) ) {
+					return true;
+				}
+			}
+		} );
+	},
+
+	closest: function( selectors, context ) {
+		var cur,
+			i = 0,
+			l = this.length,
+			matched = [],
+			targets = typeof selectors !== "string" && jQuery( selectors );
+
+		// Positional selectors never match, since there's no _selection_ context
+		if ( !rneedsContext.test( selectors ) ) {
+			for ( ; i < l; i++ ) {
+				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
+
+					// Always skip document fragments
+					if ( cur.nodeType < 11 && ( targets ?
+						targets.index( cur ) > -1 :
+
+						// Don't pass non-elements to Sizzle
+						cur.nodeType === 1 &&
+							jQuery.find.matchesSelector( cur, selectors ) ) ) {
+
+						matched.push( cur );
+						break;
+					}
+				}
+			}
+		}
+
+		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
+	},
+
+	// Determine the position of an element within the set
+	index: function( elem ) {
+
+		// No argument, return index in parent
+		if ( !elem ) {
+			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
+		}
+
+		// Index in selector
+		if ( typeof elem === "string" ) {
+			return indexOf.call( jQuery( elem ), this[ 0 ] );
+		}
+
+		// Locate the position of the desired element
+		return indexOf.call( this,
+
+			// If it receives a jQuery object, the first element is used
+			elem.jquery ? elem[ 0 ] : elem
+		);
+	},
+
+	add: function( selector, context ) {
+		return this.pushStack(
+			jQuery.uniqueSort(
+				jQuery.merge( this.get(), jQuery( selector, context ) )
+			)
+		);
+	},
+
+	addBack: function( selector ) {
+		return this.add( selector == null ?
+			this.prevObject : this.prevObject.filter( selector )
+		);
+	}
+} );
+
+function sibling( cur, dir ) {
+	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
+	return cur;
+}
+
+jQuery.each( {
+	parent: function( elem ) {
+		var parent = elem.parentNode;
+		return parent && parent.nodeType !== 11 ? parent : null;
+	},
+	parents: function( elem ) {
+		return dir( elem, "parentNode" );
+	},
+	parentsUntil: function( elem, _i, until ) {
+		return dir( elem, "parentNode", until );
+	},
+	next: function( elem ) {
+		return sibling( elem, "nextSibling" );
+	},
+	prev: function( elem ) {
+		return sibling( elem, "previousSibling" );
+	},
+	nextAll: function( elem ) {
+		return dir( elem, "nextSibling" );
+	},
+	prevAll: function( elem ) {
+		return dir( elem, "previousSibling" );
+	},
+	nextUntil: function( elem, _i, until ) {
+		return dir( elem, "nextSibling", until );
+	},
+	prevUntil: function( elem, _i, until ) {
+		return dir( elem, "previousSibling", until );
+	},
+	siblings: function( elem ) {
+		return siblings( ( elem.parentNode || {} ).firstChild, elem );
+	},
+	children: function( elem ) {
+		return siblings( elem.firstChild );
+	},
+	contents: function( elem ) {
+		if ( elem.contentDocument != null &&
+
+			// Support: IE 11+
+			// <object> elements with no `data` attribute has an object
+			// `contentDocument` with a `null` prototype.
+			getProto( elem.contentDocument ) ) {
+
+			return elem.contentDocument;
+		}
+
+		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
+		// Treat the template element as a regular one in browsers that
+		// don't support it.
+		if ( nodeName( elem, "template" ) ) {
+			elem = elem.content || elem;
+		}
+
+		return jQuery.merge( [], elem.childNodes );
+	}
+}, function( name, fn ) {
+	jQuery.fn[ name ] = function( until, selector ) {
+		var matched = jQuery.map( this, fn, until );
+
+		if ( name.slice( -5 ) !== "Until" ) {
+			selector = until;
+		}
+
+		if ( selector && typeof selector === "string" ) {
+			matched = jQuery.filter( selector, matched );
+		}
+
+		if ( this.length > 1 ) {
+
+			// Remove duplicates
+			if ( !guaranteedUnique[ name ] ) {
+				jQuery.uniqueSort( matched );
+			}
+
+			// Reverse order for parents* and prev-derivatives
+			if ( rparentsprev.test( name ) ) {
+				matched.reverse();
+			}
+		}
+
+		return this.pushStack( matched );
+	};
+} );
+var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
+
+
+
+// Convert String-formatted options into Object-formatted ones
+function createOptions( options ) {
+	var object = {};
+	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
+		object[ flag ] = true;
+	} );
+	return object;
+}
+
+/*
+ * Create a callback list using the following parameters:
+ *
+ *	options: an optional list of space-separated options that will change how
+ *			the callback list behaves or a more traditional option object
+ *
+ * By default a callback list will act like an event callback list and can be
+ * "fired" multiple times.
+ *
+ * Possible options:
+ *
+ *	once:			will ensure the callback list can only be fired once (like a Deferred)
+ *
+ *	memory:			will keep track of previous values and will call any callback added
+ *					after the list has been fired right away with the latest "memorized"
+ *					values (like a Deferred)
+ *
+ *	unique:			will ensure a callback can only be added once (no duplicate in the list)
+ *
+ *	stopOnFalse:	interrupt callings when a callback returns false
+ *
+ */
+jQuery.Callbacks = function( options ) {
+
+	// Convert options from String-formatted to Object-formatted if needed
+	// (we check in cache first)
+	options = typeof options === "string" ?
+		createOptions( options ) :
+		jQuery.extend( {}, options );
+
+	var // Flag to know if list is currently firing
+		firing,
+
+		// Last fire value for non-forgettable lists
+		memory,
+
+		// Flag to know if list was already fired
+		fired,
+
+		// Flag to prevent firing
+		locked,
+
+		// Actual callback list
+		list = [],
+
+		// Queue of execution data for repeatable lists
+		queue = [],
+
+		// Index of currently firing callback (modified by add/remove as needed)
+		firingIndex = -1,
+
+		// Fire callbacks
+		fire = function() {
+
+			// Enforce single-firing
+			locked = locked || options.once;
+
+			// Execute callbacks for all pending executions,
+			// respecting firingIndex overrides and runtime changes
+			fired = firing = true;
+			for ( ; queue.length; firingIndex = -1 ) {
+				memory = queue.shift();
+				while ( ++firingIndex < list.length ) {
+
+					// Run callback and check for early termination
+					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
+						options.stopOnFalse ) {
+
+						// Jump to end and forget the data so .add doesn't re-fire
+						firingIndex = list.length;
+						memory = false;
+					}
+				}
+			}
+
+			// Forget the data if we're done with it
+			if ( !options.memory ) {
+				memory = false;
+			}
+
+			firing = false;
+
+			// Clean up if we're done firing for good
+			if ( locked ) {
+
+				// Keep an empty list if we have data for future add calls
+				if ( memory ) {
+					list = [];
+
+				// Otherwise, this object is spent
+				} else {
+					list = "";
+				}
+			}
+		},
+
+		// Actual Callbacks object
+		self = {
+
+			// Add a callback or a collection of callbacks to the list
+			add: function() {
+				if ( list ) {
+
+					// If we have memory from a past run, we should fire after adding
+					if ( memory && !firing ) {
+						firingIndex = list.length - 1;
+						queue.push( memory );
+					}
+
+					( function add( args ) {
+						jQuery.each( args, function( _, arg ) {
+							if ( isFunction( arg ) ) {
+								if ( !options.unique || !self.has( arg ) ) {
+									list.push( arg );
+								}
+							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
+
+								// Inspect recursively
+								add( arg );
+							}
+						} );
+					} )( arguments );
+
+					if ( memory && !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Remove a callback from the list
+			remove: function() {
+				jQuery.each( arguments, function( _, arg ) {
+					var index;
+					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
+						list.splice( index, 1 );
+
+						// Handle firing indexes
+						if ( index <= firingIndex ) {
+							firingIndex--;
+						}
+					}
+				} );
+				return this;
+			},
+
+			// Check if a given callback is in the list.
+			// If no argument is given, return whether or not list has callbacks attached.
+			has: function( fn ) {
+				return fn ?
+					jQuery.inArray( fn, list ) > -1 :
+					list.length > 0;
+			},
+
+			// Remove all callbacks from the list
+			empty: function() {
+				if ( list ) {
+					list = [];
+				}
+				return this;
+			},
+
+			// Disable .fire and .add
+			// Abort any current/pending executions
+			// Clear all callbacks and values
+			disable: function() {
+				locked = queue = [];
+				list = memory = "";
+				return this;
+			},
+			disabled: function() {
+				return !list;
+			},
+
+			// Disable .fire
+			// Also disable .add unless we have memory (since it would have no effect)
+			// Abort any pending executions
+			lock: function() {
+				locked = queue = [];
+				if ( !memory && !firing ) {
+					list = memory = "";
+				}
+				return this;
+			},
+			locked: function() {
+				return !!locked;
+			},
+
+			// Call all callbacks with the given context and arguments
+			fireWith: function( context, args ) {
+				if ( !locked ) {
+					args = args || [];
+					args = [ context, args.slice ? args.slice() : args ];
+					queue.push( args );
+					if ( !firing ) {
+						fire();
+					}
+				}
+				return this;
+			},
+
+			// Call all the callbacks with the given arguments
+			fire: function() {
+				self.fireWith( this, arguments );
+				return this;
+			},
+
+			// To know if the callbacks have already been called at least once
+			fired: function() {
+				return !!fired;
+			}
+		};
+
+	return self;
+};
+
+
+function Identity( v ) {
+	return v;
+}
+function Thrower( ex ) {
+	throw ex;
+}
+
+function adoptValue( value, resolve, reject, noValue ) {
+	var method;
+
+	try {
+
+		// Check for promise aspect first to privilege synchronous behavior
+		if ( value && isFunction( ( method = value.promise ) ) ) {
+			method.call( value ).done( resolve ).fail( reject );
+
+		// Other thenables
+		} else if ( value && isFunction( ( method = value.then ) ) ) {
+			method.call( value, resolve, reject );
+
+		// Other non-thenables
+		} else {
+
+			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
+			// * false: [ value ].slice( 0 ) => resolve( value )
+			// * true: [ value ].slice( 1 ) => resolve()
+			resolve.apply( undefined, [ value ].slice( noValue ) );
+		}
+
+	// For Promises/A+, convert exceptions into rejections
+	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
+	// Deferred#then to conditionally suppress rejection.
+	} catch ( value ) {
+
+		// Support: Android 4.0 only
+		// Strict mode functions invoked without .call/.apply get global-object context
+		reject.apply( undefined, [ value ] );
+	}
+}
+
+jQuery.extend( {
+
+	Deferred: function( func ) {
+		var tuples = [
+
+				// action, add listener, callbacks,
+				// ... .then handlers, argument index, [final state]
+				[ "notify", "progress", jQuery.Callbacks( "memory" ),
+					jQuery.Callbacks( "memory" ), 2 ],
+				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
+				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
+					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
+			],
+			state = "pending",
+			promise = {
+				state: function() {
+					return state;
+				},
+				always: function() {
+					deferred.done( arguments ).fail( arguments );
+					return this;
+				},
+				"catch": function( fn ) {
+					return promise.then( null, fn );
+				},
+
+				// Keep pipe for back-compat
+				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
+					var fns = arguments;
+
+					return jQuery.Deferred( function( newDefer ) {
+						jQuery.each( tuples, function( _i, tuple ) {
+
+							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
+							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
+
+							// deferred.progress(function() { bind to newDefer or newDefer.notify })
+							// deferred.done(function() { bind to newDefer or newDefer.resolve })
+							// deferred.fail(function() { bind to newDefer or newDefer.reject })
+							deferred[ tuple[ 1 ] ]( function() {
+								var returned = fn && fn.apply( this, arguments );
+								if ( returned && isFunction( returned.promise ) ) {
+									returned.promise()
+										.progress( newDefer.notify )
+										.done( newDefer.resolve )
+										.fail( newDefer.reject );
+								} else {
+									newDefer[ tuple[ 0 ] + "With" ](
+										this,
+										fn ? [ returned ] : arguments
+									);
+								}
+							} );
+						} );
+						fns = null;
+					} ).promise();
+				},
+				then: function( onFulfilled, onRejected, onProgress ) {
+					var maxDepth = 0;
+					function resolve( depth, deferred, handler, special ) {
+						return function() {
+							var that = this,
+								args = arguments,
+								mightThrow = function() {
+									var returned, then;
+
+									// Support: Promises/A+ section 2.3.3.3.3
+									// https://promisesaplus.com/#point-59
+									// Ignore double-resolution attempts
+									if ( depth < maxDepth ) {
+										return;
+									}
+
+									returned = handler.apply( that, args );
+
+									// Support: Promises/A+ section 2.3.1
+									// https://promisesaplus.com/#point-48
+									if ( returned === deferred.promise() ) {
+										throw new TypeError( "Thenable self-resolution" );
+									}
+
+									// Support: Promises/A+ sections 2.3.3.1, 3.5
+									// https://promisesaplus.com/#point-54
+									// https://promisesaplus.com/#point-75
+									// Retrieve `then` only once
+									then = returned &&
+
+										// Support: Promises/A+ section 2.3.4
+										// https://promisesaplus.com/#point-64
+										// Only check objects and functions for thenability
+										( typeof returned === "object" ||
+											typeof returned === "function" ) &&
+										returned.then;
+
+									// Handle a returned thenable
+									if ( isFunction( then ) ) {
+
+										// Special processors (notify) just wait for resolution
+										if ( special ) {
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special )
+											);
+
+										// Normal processors (resolve) also hook into progress
+										} else {
+
+											// ...and disregard older resolution values
+											maxDepth++;
+
+											then.call(
+												returned,
+												resolve( maxDepth, deferred, Identity, special ),
+												resolve( maxDepth, deferred, Thrower, special ),
+												resolve( maxDepth, deferred, Identity,
+													deferred.notifyWith )
+											);
+										}
+
+									// Handle all other returned values
+									} else {
+
+										// Only substitute handlers pass on context
+										// and multiple values (non-spec behavior)
+										if ( handler !== Identity ) {
+											that = undefined;
+											args = [ returned ];
+										}
+
+										// Process the value(s)
+										// Default process is resolve
+										( special || deferred.resolveWith )( that, args );
+									}
+								},
+
+								// Only normal processors (resolve) catch and reject exceptions
+								process = special ?
+									mightThrow :
+									function() {
+										try {
+											mightThrow();
+										} catch ( e ) {
+
+											if ( jQuery.Deferred.exceptionHook ) {
+												jQuery.Deferred.exceptionHook( e,
+													process.stackTrace );
+											}
+
+											// Support: Promises/A+ section 2.3.3.3.4.1
+											// https://promisesaplus.com/#point-61
+											// Ignore post-resolution exceptions
+											if ( depth + 1 >= maxDepth ) {
+
+												// Only substitute handlers pass on context
+												// and multiple values (non-spec behavior)
+												if ( handler !== Thrower ) {
+													that = undefined;
+													args = [ e ];
+												}
+
+												deferred.rejectWith( that, args );
+											}
+										}
+									};
+
+							// Support: Promises/A+ section 2.3.3.3.1
+							// https://promisesaplus.com/#point-57
+							// Re-resolve promises immediately to dodge false rejection from
+							// subsequent errors
+							if ( depth ) {
+								process();
+							} else {
+
+								// Call an optional hook to record the stack, in case of exception
+								// since it's otherwise lost when execution goes async
+								if ( jQuery.Deferred.getStackHook ) {
+									process.stackTrace = jQuery.Deferred.getStackHook();
+								}
+								window.setTimeout( process );
+							}
+						};
+					}
+
+					return jQuery.Deferred( function( newDefer ) {
+
+						// progress_handlers.add( ... )
+						tuples[ 0 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onProgress ) ?
+									onProgress :
+									Identity,
+								newDefer.notifyWith
+							)
+						);
+
+						// fulfilled_handlers.add( ... )
+						tuples[ 1 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onFulfilled ) ?
+									onFulfilled :
+									Identity
+							)
+						);
+
+						// rejected_handlers.add( ... )
+						tuples[ 2 ][ 3 ].add(
+							resolve(
+								0,
+								newDefer,
+								isFunction( onRejected ) ?
+									onRejected :
+									Thrower
+							)
+						);
+					} ).promise();
+				},
+
+				// Get a promise for this deferred
+				// If obj is provided, the promise aspect is added to the object
+				promise: function( obj ) {
+					return obj != null ? jQuery.extend( obj, promise ) : promise;
+				}
+			},
+			deferred = {};
+
+		// Add list-specific methods
+		jQuery.each( tuples, function( i, tuple ) {
+			var list = tuple[ 2 ],
+				stateString = tuple[ 5 ];
+
+			// promise.progress = list.add
+			// promise.done = list.add
+			// promise.fail = list.add
+			promise[ tuple[ 1 ] ] = list.add;
+
+			// Handle state
+			if ( stateString ) {
+				list.add(
+					function() {
+
+						// state = "resolved" (i.e., fulfilled)
+						// state = "rejected"
+						state = stateString;
+					},
+
+					// rejected_callbacks.disable
+					// fulfilled_callbacks.disable
+					tuples[ 3 - i ][ 2 ].disable,
+
+					// rejected_handlers.disable
+					// fulfilled_handlers.disable
+					tuples[ 3 - i ][ 3 ].disable,
+
+					// progress_callbacks.lock
+					tuples[ 0 ][ 2 ].lock,
+
+					// progress_handlers.lock
+					tuples[ 0 ][ 3 ].lock
+				);
+			}
+
+			// progress_handlers.fire
+			// fulfilled_handlers.fire
+			// rejected_handlers.fire
+			list.add( tuple[ 3 ].fire );
+
+			// deferred.notify = function() { deferred.notifyWith(...) }
+			// deferred.resolve = function() { deferred.resolveWith(...) }
+			// deferred.reject = function() { deferred.rejectWith(...) }
+			deferred[ tuple[ 0 ] ] = function() {
+				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
+				return this;
+			};
+
+			// deferred.notifyWith = list.fireWith
+			// deferred.resolveWith = list.fireWith
+			// deferred.rejectWith = list.fireWith
+			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
+		} );
+
+		// Make the deferred a promise
+		promise.promise( deferred );
+
+		// Call given func if any
+		if ( func ) {
+			func.call( deferred, deferred );
+		}
+
+		// All done!
+		return deferred;
+	},
+
+	// Deferred helper
+	when: function( singleValue ) {
+		var
+
+			// count of uncompleted subordinates
+			remaining = arguments.length,
+
+			// count of unprocessed arguments
+			i = remaining,
+
+			// subordinate fulfillment data
+			resolveContexts = Array( i ),
+			resolveValues = slice.call( arguments ),
+
+			// the primary Deferred
+			primary = jQuery.Deferred(),
+
+			// subordinate callback factory
+			updateFunc = function( i ) {
+				return function( value ) {
+					resolveContexts[ i ] = this;
+					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
+					if ( !( --remaining ) ) {
+						primary.resolveWith( resolveContexts, resolveValues );
+					}
+				};
+			};
+
+		// Single- and empty arguments are adopted like Promise.resolve
+		if ( remaining <= 1 ) {
+			adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
+				!remaining );
+
+			// Use .then() to unwrap secondary thenables (cf. gh-3000)
+			if ( primary.state() === "pending" ||
+				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
+
+				return primary.then();
+			}
+		}
+
+		// Multiple arguments are aggregated like Promise.all array elements
+		while ( i-- ) {
+			adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
+		}
+
+		return primary.promise();
+	}
+} );
+
+
+// These usually indicate a programmer mistake during development,
+// warn about them ASAP rather than swallowing them by default.
+var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
+
+jQuery.Deferred.exceptionHook = function( error, stack ) {
+
+	// Support: IE 8 - 9 only
+	// Console exists when dev tools are open, which can happen at any time
+	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
+		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
+	}
+};
+
+
+
+
+jQuery.readyException = function( error ) {
+	window.setTimeout( function() {
+		throw error;
+	} );
+};
+
+
+
+
+// The deferred used on DOM ready
+var readyList = jQuery.Deferred();
+
+jQuery.fn.ready = function( fn ) {
+
+	readyList
+		.then( fn )
+
+		// Wrap jQuery.readyException in a function so that the lookup
+		// happens at the time of error handling instead of callback
+		// registration.
+		.catch( function( error ) {
+			jQuery.readyException( error );
+		} );
+
+	return this;
+};
+
+jQuery.extend( {
+
+	// Is the DOM ready to be used? Set to true once it occurs.
+	isReady: false,
+
+	// A counter to track how many items to wait for before
+	// the ready event fires. See #6781
+	readyWait: 1,
+
+	// Handle when the DOM is ready
+	ready: function( wait ) {
+
+		// Abort if there are pending holds or we're already ready
+		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
+			return;
+		}
+
+		// Remember that the DOM is ready
+		jQuery.isReady = true;
+
+		// If a normal DOM Ready event fired, decrement, and wait if need be
+		if ( wait !== true && --jQuery.readyWait > 0 ) {
+			return;
+		}
+
+		// If there are functions bound, to execute
+		readyList.resolveWith( document, [ jQuery ] );
+	}
+} );
+
+jQuery.ready.then = readyList.then;
+
+// The ready event handler and self cleanup method
+function completed() {
+	document.removeEventListener( "DOMContentLoaded", completed );
+	window.removeEventListener( "load", completed );
+	jQuery.ready();
+}
+
+// Catch cases where $(document).ready() is called
+// after the browser event has already occurred.
+// Support: IE <=9 - 10 only
+// Older IE sometimes signals "interactive" too soon
+if ( document.readyState === "complete" ||
+	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
+
+	// Handle it asynchronously to allow scripts the opportunity to delay ready
+	window.setTimeout( jQuery.ready );
+
+} else {
+
+	// Use the handy event callback
+	document.addEventListener( "DOMContentLoaded", completed );
+
+	// A fallback to window.onload, that will always work
+	window.addEventListener( "load", completed );
+}
+
+
+
+
+// Multifunctional method to get and set values of a collection
+// The value/s can optionally be executed if it's a function
+var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
+	var i = 0,
+		len = elems.length,
+		bulk = key == null;
+
+	// Sets many values
+	if ( toType( key ) === "object" ) {
+		chainable = true;
+		for ( i in key ) {
+			access( elems, fn, i, key[ i ], true, emptyGet, raw );
+		}
+
+	// Sets one value
+	} else if ( value !== undefined ) {
+		chainable = true;
+
+		if ( !isFunction( value ) ) {
+			raw = true;
+		}
+
+		if ( bulk ) {
+
+			// Bulk operations run against the entire set
+			if ( raw ) {
+				fn.call( elems, value );
+				fn = null;
+
+			// ...except when executing function values
+			} else {
+				bulk = fn;
+				fn = function( elem, _key, value ) {
+					return bulk.call( jQuery( elem ), value );
+				};
+			}
+		}
+
+		if ( fn ) {
+			for ( ; i < len; i++ ) {
+				fn(
+					elems[ i ], key, raw ?
+						value :
+						value.call( elems[ i ], i, fn( elems[ i ], key ) )
+				);
+			}
+		}
+	}
+
+	if ( chainable ) {
+		return elems;
+	}
+
+	// Gets
+	if ( bulk ) {
+		return fn.call( elems );
+	}
+
+	return len ? fn( elems[ 0 ], key ) : emptyGet;
+};
+
+
+// Matches dashed string for camelizing
+var rmsPrefix = /^-ms-/,
+	rdashAlpha = /-([a-z])/g;
+
+// Used by camelCase as callback to replace()
+function fcamelCase( _all, letter ) {
+	return letter.toUpperCase();
+}
+
+// Convert dashed to camelCase; used by the css and data modules
+// Support: IE <=9 - 11, Edge 12 - 15
+// Microsoft forgot to hump their vendor prefix (#9572)
+function camelCase( string ) {
+	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
+}
+var acceptData = function( owner ) {
+
+	// Accepts only:
+	//  - Node
+	//    - Node.ELEMENT_NODE
+	//    - Node.DOCUMENT_NODE
+	//  - Object
+	//    - Any
+	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
+};
+
+
+
+
+function Data() {
+	this.expando = jQuery.expando + Data.uid++;
+}
+
+Data.uid = 1;
+
+Data.prototype = {
+
+	cache: function( owner ) {
+
+		// Check if the owner object already has a cache
+		var value = owner[ this.expando ];
+
+		// If not, create one
+		if ( !value ) {
+			value = {};
+
+			// We can accept data for non-element nodes in modern browsers,
+			// but we should not, see #8335.
+			// Always return an empty object.
+			if ( acceptData( owner ) ) {
+
+				// If it is a node unlikely to be stringify-ed or looped over
+				// use plain assignment
+				if ( owner.nodeType ) {
+					owner[ this.expando ] = value;
+
+				// Otherwise secure it in a non-enumerable property
+				// configurable must be true to allow the property to be
+				// deleted when data is removed
+				} else {
+					Object.defineProperty( owner, this.expando, {
+						value: value,
+						configurable: true
+					} );
+				}
+			}
+		}
+
+		return value;
+	},
+	set: function( owner, data, value ) {
+		var prop,
+			cache = this.cache( owner );
+
+		// Handle: [ owner, key, value ] args
+		// Always use camelCase key (gh-2257)
+		if ( typeof data === "string" ) {
+			cache[ camelCase( data ) ] = value;
+
+		// Handle: [ owner, { properties } ] args
+		} else {
+
+			// Copy the properties one-by-one to the cache object
+			for ( prop in data ) {
+				cache[ camelCase( prop ) ] = data[ prop ];
+			}
+		}
+		return cache;
+	},
+	get: function( owner, key ) {
+		return key === undefined ?
+			this.cache( owner ) :
+
+			// Always use camelCase key (gh-2257)
+			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
+	},
+	access: function( owner, key, value ) {
+
+		// In cases where either:
+		//
+		//   1. No key was specified
+		//   2. A string key was specified, but no value provided
+		//
+		// Take the "read" path and allow the get method to determine
+		// which value to return, respectively either:
+		//
+		//   1. The entire cache object
+		//   2. The data stored at the key
+		//
+		if ( key === undefined ||
+				( ( key && typeof key === "string" ) && value === undefined ) ) {
+
+			return this.get( owner, key );
+		}
+
+		// When the key is not a string, or both a key and value
+		// are specified, set or extend (existing objects) with either:
+		//
+		//   1. An object of properties
+		//   2. A key and value
+		//
+		this.set( owner, key, value );
+
+		// Since the "set" path can have two possible entry points
+		// return the expected data based on which path was taken[*]
+		return value !== undefined ? value : key;
+	},
+	remove: function( owner, key ) {
+		var i,
+			cache = owner[ this.expando ];
+
+		if ( cache === undefined ) {
+			return;
+		}
+
+		if ( key !== undefined ) {
+
+			// Support array or space separated string of keys
+			if ( Array.isArray( key ) ) {
+
+				// If key is an array of keys...
+				// We always set camelCase keys, so remove that.
+				key = key.map( camelCase );
+			} else {
+				key = camelCase( key );
+
+				// If a key with the spaces exists, use it.
+				// Otherwise, create an array by matching non-whitespace
+				key = key in cache ?
+					[ key ] :
+					( key.match( rnothtmlwhite ) || [] );
+			}
+
+			i = key.length;
+
+			while ( i-- ) {
+				delete cache[ key[ i ] ];
+			}
+		}
+
+		// Remove the expando if there's no more data
+		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
+
+			// Support: Chrome <=35 - 45
+			// Webkit & Blink performance suffers when deleting properties
+			// from DOM nodes, so set to undefined instead
+			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
+			if ( owner.nodeType ) {
+				owner[ this.expando ] = undefined;
+			} else {
+				delete owner[ this.expando ];
+			}
+		}
+	},
+	hasData: function( owner ) {
+		var cache = owner[ this.expando ];
+		return cache !== undefined && !jQuery.isEmptyObject( cache );
+	}
+};
+var dataPriv = new Data();
+
+var dataUser = new Data();
+
+
+
+//	Implementation Summary
+//
+//	1. Enforce API surface and semantic compatibility with 1.9.x branch
+//	2. Improve the module's maintainability by reducing the storage
+//		paths to a single mechanism.
+//	3. Use the same single mechanism to support "private" and "user" data.
+//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
+//	5. Avoid exposing implementation details on user objects (eg. expando properties)
+//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
+
+var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
+	rmultiDash = /[A-Z]/g;
+
+function getData( data ) {
+	if ( data === "true" ) {
+		return true;
+	}
+
+	if ( data === "false" ) {
+		return false;
+	}
+
+	if ( data === "null" ) {
+		return null;
+	}
+
+	// Only convert to a number if it doesn't change the string
+	if ( data === +data + "" ) {
+		return +data;
+	}
+
+	if ( rbrace.test( data ) ) {
+		return JSON.parse( data );
+	}
+
+	return data;
+}
+
+function dataAttr( elem, key, data ) {
+	var name;
+
+	// If nothing was found internally, try to fetch any
+	// data from the HTML5 data-* attribute
+	if ( data === undefined && elem.nodeType === 1 ) {
+		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
+		data = elem.getAttribute( name );
+
+		if ( typeof data === "string" ) {
+			try {
+				data = getData( data );
+			} catch ( e ) {}
+
+			// Make sure we set the data so it isn't changed later
+			dataUser.set( elem, key, data );
+		} else {
+			data = undefined;
+		}
+	}
+	return data;
+}
+
+jQuery.extend( {
+	hasData: function( elem ) {
+		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
+	},
+
+	data: function( elem, name, data ) {
+		return dataUser.access( elem, name, data );
+	},
+
+	removeData: function( elem, name ) {
+		dataUser.remove( elem, name );
+	},
+
+	// TODO: Now that all calls to _data and _removeData have been replaced
+	// with direct calls to dataPriv methods, these can be deprecated.
+	_data: function( elem, name, data ) {
+		return dataPriv.access( elem, name, data );
+	},
+
+	_removeData: function( elem, name ) {
+		dataPriv.remove( elem, name );
+	}
+} );
+
+jQuery.fn.extend( {
+	data: function( key, value ) {
+		var i, name, data,
+			elem = this[ 0 ],
+			attrs = elem && elem.attributes;
+
+		// Gets all values
+		if ( key === undefined ) {
+			if ( this.length ) {
+				data = dataUser.get( elem );
+
+				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
+					i = attrs.length;
+					while ( i-- ) {
+
+						// Support: IE 11 only
+						// The attrs elements can be null (#14894)
+						if ( attrs[ i ] ) {
+							name = attrs[ i ].name;
+							if ( name.indexOf( "data-" ) === 0 ) {
+								name = camelCase( name.slice( 5 ) );
+								dataAttr( elem, name, data[ name ] );
+							}
+						}
+					}
+					dataPriv.set( elem, "hasDataAttrs", true );
+				}
+			}
+
+			return data;
+		}
+
+		// Sets multiple values
+		if ( typeof key === "object" ) {
+			return this.each( function() {
+				dataUser.set( this, key );
+			} );
+		}
+
+		return access( this, function( value ) {
+			var data;
+
+			// The calling jQuery object (element matches) is not empty
+			// (and therefore has an element appears at this[ 0 ]) and the
+			// `value` parameter was not undefined. An empty jQuery object
+			// will result in `undefined` for elem = this[ 0 ] which will
+			// throw an exception if an attempt to read a data cache is made.
+			if ( elem && value === undefined ) {
+
+				// Attempt to get data from the cache
+				// The key will always be camelCased in Data
+				data = dataUser.get( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// Attempt to "discover" the data in
+				// HTML5 custom data-* attrs
+				data = dataAttr( elem, key );
+				if ( data !== undefined ) {
+					return data;
+				}
+
+				// We tried really hard, but the data doesn't exist.
+				return;
+			}
+
+			// Set the data...
+			this.each( function() {
+
+				// We always store the camelCased key
+				dataUser.set( this, key, value );
+			} );
+		}, null, value, arguments.length > 1, null, true );
+	},
+
+	removeData: function( key ) {
+		return this.each( function() {
+			dataUser.remove( this, key );
+		} );
+	}
+} );
+
+
+jQuery.extend( {
+	queue: function( elem, type, data ) {
+		var queue;
+
+		if ( elem ) {
+			type = ( type || "fx" ) + "queue";
+			queue = dataPriv.get( elem, type );
+
+			// Speed up dequeue by getting out quickly if this is just a lookup
+			if ( data ) {
+				if ( !queue || Array.isArray( data ) ) {
+					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
+				} else {
+					queue.push( data );
+				}
+			}
+			return queue || [];
+		}
+	},
+
+	dequeue: function( elem, type ) {
+		type = type || "fx";
+
+		var queue = jQuery.queue( elem, type ),
+			startLength = queue.length,
+			fn = queue.shift(),
+			hooks = jQuery._queueHooks( elem, type ),
+			next = function() {
+				jQuery.dequeue( elem, type );
+			};
+
+		// If the fx queue is dequeued, always remove the progress sentinel
+		if ( fn === "inprogress" ) {
+			fn = queue.shift();
+			startLength--;
+		}
+
+		if ( fn ) {
+
+			// Add a progress sentinel to prevent the fx queue from being
+			// automatically dequeued
+			if ( type === "fx" ) {
+				queue.unshift( "inprogress" );
+			}
+
+			// Clear up the last queue stop function
+			delete hooks.stop;
+			fn.call( elem, next, hooks );
+		}
+
+		if ( !startLength && hooks ) {
+			hooks.empty.fire();
+		}
+	},
+
+	// Not public - generate a queueHooks object, or return the current one
+	_queueHooks: function( elem, type ) {
+		var key = type + "queueHooks";
+		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
+			empty: jQuery.Callbacks( "once memory" ).add( function() {
+				dataPriv.remove( elem, [ type + "queue", key ] );
+			} )
+		} );
+	}
+} );
+
+jQuery.fn.extend( {
+	queue: function( type, data ) {
+		var setter = 2;
+
+		if ( typeof type !== "string" ) {
+			data = type;
+			type = "fx";
+			setter--;
+		}
+
+		if ( arguments.length < setter ) {
+			return jQuery.queue( this[ 0 ], type );
+		}
+
+		return data === undefined ?
+			this :
+			this.each( function() {
+				var queue = jQuery.queue( this, type, data );
+
+				// Ensure a hooks for this queue
+				jQuery._queueHooks( this, type );
+
+				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
+					jQuery.dequeue( this, type );
+				}
+			} );
+	},
+	dequeue: function( type ) {
+		return this.each( function() {
+			jQuery.dequeue( this, type );
+		} );
+	},
+	clearQueue: function( type ) {
+		return this.queue( type || "fx", [] );
+	},
+
+	// Get a promise resolved when queues of a certain type
+	// are emptied (fx is the type by default)
+	promise: function( type, obj ) {
+		var tmp,
+			count = 1,
+			defer = jQuery.Deferred(),
+			elements = this,
+			i = this.length,
+			resolve = function() {
+				if ( !( --count ) ) {
+					defer.resolveWith( elements, [ elements ] );
+				}
+			};
+
+		if ( typeof type !== "string" ) {
+			obj = type;
+			type = undefined;
+		}
+		type = type || "fx";
+
+		while ( i-- ) {
+			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
+			if ( tmp && tmp.empty ) {
+				count++;
+				tmp.empty.add( resolve );
+			}
+		}
+		resolve();
+		return defer.promise( obj );
+	}
+} );
+var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
+
+var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
+
+
+var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
+
+var documentElement = document.documentElement;
+
+
+
+	var isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem );
+		},
+		composed = { composed: true };
+
+	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
+	// Check attachment across shadow DOM boundaries when possible (gh-3504)
+	// Support: iOS 10.0-10.2 only
+	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
+	// leading to errors. We need to check for `getRootNode`.
+	if ( documentElement.getRootNode ) {
+		isAttached = function( elem ) {
+			return jQuery.contains( elem.ownerDocument, elem ) ||
+				elem.getRootNode( composed ) === elem.ownerDocument;
+		};
+	}
+var isHiddenWithinTree = function( elem, el ) {
+
+		// isHiddenWithinTree might be called from jQuery#filter function;
+		// in that case, element will be second argument
+		elem = el || elem;
+
+		// Inline style trumps all
+		return elem.style.display === "none" ||
+			elem.style.display === "" &&
+
+			// Otherwise, check computed style
+			// Support: Firefox <=43 - 45
+			// Disconnected elements can have computed display: none, so first confirm that elem is
+			// in the document.
+			isAttached( elem ) &&
+
+			jQuery.css( elem, "display" ) === "none";
+	};
+
+
+
+function adjustCSS( elem, prop, valueParts, tween ) {
+	var adjusted, scale,
+		maxIterations = 20,
+		currentValue = tween ?
+			function() {
+				return tween.cur();
+			} :
+			function() {
+				return jQuery.css( elem, prop, "" );
+			},
+		initial = currentValue(),
+		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
+
+		// Starting value computation is required for potential unit mismatches
+		initialInUnit = elem.nodeType &&
+			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
+			rcssNum.exec( jQuery.css( elem, prop ) );
+
+	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
+
+		// Support: Firefox <=54
+		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
+		initial = initial / 2;
+
+		// Trust units reported by jQuery.css
+		unit = unit || initialInUnit[ 3 ];
+
+		// Iteratively approximate from a nonzero starting point
+		initialInUnit = +initial || 1;
+
+		while ( maxIterations-- ) {
+
+			// Evaluate and update our best guess (doubling guesses that zero out).
+			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
+			jQuery.style( elem, prop, initialInUnit + unit );
+			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
+				maxIterations = 0;
+			}
+			initialInUnit = initialInUnit / scale;
+
+		}
+
+		initialInUnit = initialInUnit * 2;
+		jQuery.style( elem, prop, initialInUnit + unit );
+
+		// Make sure we update the tween properties later on
+		valueParts = valueParts || [];
+	}
+
+	if ( valueParts ) {
+		initialInUnit = +initialInUnit || +initial || 0;
+
+		// Apply relative offset (+=/-=) if specified
+		adjusted = valueParts[ 1 ] ?
+			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
+			+valueParts[ 2 ];
+		if ( tween ) {
+			tween.unit = unit;
+			tween.start = initialInUnit;
+			tween.end = adjusted;
+		}
+	}
+	return adjusted;
+}
+
+
+var defaultDisplayMap = {};
+
+function getDefaultDisplay( elem ) {
+	var temp,
+		doc = elem.ownerDocument,
+		nodeName = elem.nodeName,
+		display = defaultDisplayMap[ nodeName ];
+
+	if ( display ) {
+		return display;
+	}
+
+	temp = doc.body.appendChild( doc.createElement( nodeName ) );
+	display = jQuery.css( temp, "display" );
+
+	temp.parentNode.removeChild( temp );
+
+	if ( display === "none" ) {
+		display = "block";
+	}
+	defaultDisplayMap[ nodeName ] = display;
+
+	return display;
+}
+
+function showHide( elements, show ) {
+	var display, elem,
+		values = [],
+		index = 0,
+		length = elements.length;
+
+	// Determine new display value for elements that need to change
+	for ( ; index < length; index++ ) {
+		elem = elements[ index ];
+		if ( !elem.style ) {
+			continue;
+		}
+
+		display = elem.style.display;
+		if ( show ) {
+
+			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
+			// check is required in this first loop unless we have a nonempty display value (either
+			// inline or about-to-be-restored)
+			if ( display === "none" ) {
+				values[ index ] = dataPriv.get( elem, "display" ) || null;
+				if ( !values[ index ] ) {
+					elem.style.display = "";
+				}
+			}
+			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
+				values[ index ] = getDefaultDisplay( elem );
+			}
+		} else {
+			if ( display !== "none" ) {
+				values[ index ] = "none";
+
+				// Remember what we're overwriting
+				dataPriv.set( elem, "display", display );
+			}
+		}
+	}
+
+	// Set the display of the elements in a second loop to avoid constant reflow
+	for ( index = 0; index < length; index++ ) {
+		if ( values[ index ] != null ) {
+			elements[ index ].style.display = values[ index ];
+		}
+	}
+
+	return elements;
+}
+
+jQuery.fn.extend( {
+	show: function() {
+		return showHide( this, true );
+	},
+	hide: function() {
+		return showHide( this );
+	},
+	toggle: function( state ) {
+		if ( typeof state === "boolean" ) {
+			return state ? this.show() : this.hide();
+		}
+
+		return this.each( function() {
+			if ( isHiddenWithinTree( this ) ) {
+				jQuery( this ).show();
+			} else {
+				jQuery( this ).hide();
+			}
+		} );
+	}
+} );
+var rcheckableType = ( /^(?:checkbox|radio)$/i );
+
+var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
+
+var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
+
+
+
+( function() {
+	var fragment = document.createDocumentFragment(),
+		div = fragment.appendChild( document.createElement( "div" ) ),
+		input = document.createElement( "input" );
+
+	// Support: Android 4.0 - 4.3 only
+	// Check state lost if the name is set (#11217)
+	// Support: Windows Web Apps (WWA)
+	// `name` and `type` must use .setAttribute for WWA (#14901)
+	input.setAttribute( "type", "radio" );
+	input.setAttribute( "checked", "checked" );
+	input.setAttribute( "name", "t" );
+
+	div.appendChild( input );
+
+	// Support: Android <=4.1 only
+	// Older WebKit doesn't clone checked state correctly in fragments
+	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
+
+	// Support: IE <=11 only
+	// Make sure textarea (and checkbox) defaultValue is properly cloned
+	div.innerHTML = "<textarea>x</textarea>";
+	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
+
+	// Support: IE <=9 only
+	// IE <=9 replaces <option> tags with their contents when inserted outside of
+	// the select element.
+	div.innerHTML = "<option></option>";
+	support.option = !!div.lastChild;
+} )();
+
+
+// We have to close these tags to support XHTML (#13200)
+var wrapMap = {
+
+	// XHTML parsers do not magically insert elements in the
+	// same way that tag soup parsers do. So we cannot shorten
+	// this by omitting <tbody> or other required elements.
+	thead: [ 1, "<table>", "</table>" ],
+	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
+	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
+	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
+
+	_default: [ 0, "", "" ]
+};
+
+wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
+wrapMap.th = wrapMap.td;
+
+// Support: IE <=9 only
+if ( !support.option ) {
+	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
+}
+
+
+function getAll( context, tag ) {
+
+	// Support: IE <=9 - 11 only
+	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
+	var ret;
+
+	if ( typeof context.getElementsByTagName !== "undefined" ) {
+		ret = context.getElementsByTagName( tag || "*" );
+
+	} else if ( typeof context.querySelectorAll !== "undefined" ) {
+		ret = context.querySelectorAll( tag || "*" );
+
+	} else {
+		ret = [];
+	}
+
+	if ( tag === undefined || tag && nodeName( context, tag ) ) {
+		return jQuery.merge( [ context ], ret );
+	}
+
+	return ret;
+}
+
+
+// Mark scripts as having already been evaluated
+function setGlobalEval( elems, refElements ) {
+	var i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		dataPriv.set(
+			elems[ i ],
+			"globalEval",
+			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
+		);
+	}
+}
+
+
+var rhtml = /<|&#?\w+;/;
+
+function buildFragment( elems, context, scripts, selection, ignored ) {
+	var elem, tmp, tag, wrap, attached, j,
+		fragment = context.createDocumentFragment(),
+		nodes = [],
+		i = 0,
+		l = elems.length;
+
+	for ( ; i < l; i++ ) {
+		elem = elems[ i ];
+
+		if ( elem || elem === 0 ) {
+
+			// Add nodes directly
+			if ( toType( elem ) === "object" ) {
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
+
+			// Convert non-html into a text node
+			} else if ( !rhtml.test( elem ) ) {
+				nodes.push( context.createTextNode( elem ) );
+
+			// Convert html into DOM nodes
+			} else {
+				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
+
+				// Deserialize a standard representation
+				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
+				wrap = wrapMap[ tag ] || wrapMap._default;
+				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
+
+				// Descend through wrappers to the right content
+				j = wrap[ 0 ];
+				while ( j-- ) {
+					tmp = tmp.lastChild;
+				}
+
+				// Support: Android <=4.0 only, PhantomJS 1 only
+				// push.apply(_, arraylike) throws on ancient WebKit
+				jQuery.merge( nodes, tmp.childNodes );
+
+				// Remember the top-level container
+				tmp = fragment.firstChild;
+
+				// Ensure the created nodes are orphaned (#12392)
+				tmp.textContent = "";
+			}
+		}
+	}
+
+	// Remove wrapper from fragment
+	fragment.textContent = "";
+
+	i = 0;
+	while ( ( elem = nodes[ i++ ] ) ) {
+
+		// Skip elements already in the context collection (trac-4087)
+		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
+			if ( ignored ) {
+				ignored.push( elem );
+			}
+			continue;
+		}
+
+		attached = isAttached( elem );
+
+		// Append to fragment
+		tmp = getAll( fragment.appendChild( elem ), "script" );
+
+		// Preserve script evaluation history
+		if ( attached ) {
+			setGlobalEval( tmp );
+		}
+
+		// Capture executables
+		if ( scripts ) {
+			j = 0;
+			while ( ( elem = tmp[ j++ ] ) ) {
+				if ( rscriptType.test( elem.type || "" ) ) {
+					scripts.push( elem );
+				}
+			}
+		}
+	}
+
+	return fragment;
+}
+
+
+var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
+
+function returnTrue() {
+	return true;
+}
+
+function returnFalse() {
+	return false;
+}
+
+// Support: IE <=9 - 11+
+// focus() and blur() are asynchronous, except when they are no-op.
+// So expect focus to be synchronous when the element is already active,
+// and blur to be synchronous when the element is not already active.
+// (focus and blur are always synchronous in other supported browsers,
+// this just defines when we can count on it).
+function expectSync( elem, type ) {
+	return ( elem === safeActiveElement() ) === ( type === "focus" );
+}
+
+// Support: IE <=9 only
+// Accessing document.activeElement can throw unexpectedly
+// https://bugs.jquery.com/ticket/13393
+function safeActiveElement() {
+	try {
+		return document.activeElement;
+	} catch ( err ) { }
+}
+
+function on( elem, types, selector, data, fn, one ) {
+	var origFn, type;
+
+	// Types can be a map of types/handlers
+	if ( typeof types === "object" ) {
+
+		// ( types-Object, selector, data )
+		if ( typeof selector !== "string" ) {
+
+			// ( types-Object, data )
+			data = data || selector;
+			selector = undefined;
+		}
+		for ( type in types ) {
+			on( elem, type, selector, data, types[ type ], one );
+		}
+		return elem;
+	}
+
+	if ( data == null && fn == null ) {
+
+		// ( types, fn )
+		fn = selector;
+		data = selector = undefined;
+	} else if ( fn == null ) {
+		if ( typeof selector === "string" ) {
+
+			// ( types, selector, fn )
+			fn = data;
+			data = undefined;
+		} else {
+
+			// ( types, data, fn )
+			fn = data;
+			data = selector;
+			selector = undefined;
+		}
+	}
+	if ( fn === false ) {
+		fn = returnFalse;
+	} else if ( !fn ) {
+		return elem;
+	}
+
+	if ( one === 1 ) {
+		origFn = fn;
+		fn = function( event ) {
+
+			// Can use an empty set, since event contains the info
+			jQuery().off( event );
+			return origFn.apply( this, arguments );
+		};
+
+		// Use same guid so caller can remove using origFn
+		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
+	}
+	return elem.each( function() {
+		jQuery.event.add( this, types, fn, data, selector );
+	} );
+}
+
+/*
+ * Helper functions for managing events -- not part of the public interface.
+ * Props to Dean Edwards' addEvent library for many of the ideas.
+ */
+jQuery.event = {
+
+	global: {},
+
+	add: function( elem, types, handler, data, selector ) {
+
+		var handleObjIn, eventHandle, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.get( elem );
+
+		// Only attach events to objects that accept data
+		if ( !acceptData( elem ) ) {
+			return;
+		}
+
+		// Caller can pass in an object of custom data in lieu of the handler
+		if ( handler.handler ) {
+			handleObjIn = handler;
+			handler = handleObjIn.handler;
+			selector = handleObjIn.selector;
+		}
+
+		// Ensure that invalid selectors throw exceptions at attach time
+		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
+		if ( selector ) {
+			jQuery.find.matchesSelector( documentElement, selector );
+		}
+
+		// Make sure that the handler has a unique ID, used to find/remove it later
+		if ( !handler.guid ) {
+			handler.guid = jQuery.guid++;
+		}
+
+		// Init the element's event structure and main handler, if this is the first
+		if ( !( events = elemData.events ) ) {
+			events = elemData.events = Object.create( null );
+		}
+		if ( !( eventHandle = elemData.handle ) ) {
+			eventHandle = elemData.handle = function( e ) {
+
+				// Discard the second event of a jQuery.event.trigger() and
+				// when an event is called after a page has unloaded
+				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
+					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
+			};
+		}
+
+		// Handle multiple events separated by a space
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// There *must* be a type, no attaching namespace-only handlers
+			if ( !type ) {
+				continue;
+			}
+
+			// If event changes its type, use the special event handlers for the changed type
+			special = jQuery.event.special[ type ] || {};
+
+			// If selector defined, determine special event api type, otherwise given type
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+
+			// Update special based on newly reset type
+			special = jQuery.event.special[ type ] || {};
+
+			// handleObj is passed to all event handlers
+			handleObj = jQuery.extend( {
+				type: type,
+				origType: origType,
+				data: data,
+				handler: handler,
+				guid: handler.guid,
+				selector: selector,
+				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
+				namespace: namespaces.join( "." )
+			}, handleObjIn );
+
+			// Init the event handler queue if we're the first
+			if ( !( handlers = events[ type ] ) ) {
+				handlers = events[ type ] = [];
+				handlers.delegateCount = 0;
+
+				// Only use addEventListener if the special events handler returns false
+				if ( !special.setup ||
+					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
+
+					if ( elem.addEventListener ) {
+						elem.addEventListener( type, eventHandle );
+					}
+				}
+			}
+
+			if ( special.add ) {
+				special.add.call( elem, handleObj );
+
+				if ( !handleObj.handler.guid ) {
+					handleObj.handler.guid = handler.guid;
+				}
+			}
+
+			// Add to the element's handler list, delegates in front
+			if ( selector ) {
+				handlers.splice( handlers.delegateCount++, 0, handleObj );
+			} else {
+				handlers.push( handleObj );
+			}
+
+			// Keep track of which events have ever been used, for event optimization
+			jQuery.event.global[ type ] = true;
+		}
+
+	},
+
+	// Detach an event or set of events from an element
+	remove: function( elem, types, handler, selector, mappedTypes ) {
+
+		var j, origCount, tmp,
+			events, t, handleObj,
+			special, handlers, type, namespaces, origType,
+			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
+
+		if ( !elemData || !( events = elemData.events ) ) {
+			return;
+		}
+
+		// Once for each type.namespace in types; type may be omitted
+		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
+		t = types.length;
+		while ( t-- ) {
+			tmp = rtypenamespace.exec( types[ t ] ) || [];
+			type = origType = tmp[ 1 ];
+			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
+
+			// Unbind all events (on this namespace, if provided) for the element
+			if ( !type ) {
+				for ( type in events ) {
+					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
+				}
+				continue;
+			}
+
+			special = jQuery.event.special[ type ] || {};
+			type = ( selector ? special.delegateType : special.bindType ) || type;
+			handlers = events[ type ] || [];
+			tmp = tmp[ 2 ] &&
+				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
+
+			// Remove matching events
+			origCount = j = handlers.length;
+			while ( j-- ) {
+				handleObj = handlers[ j ];
+
+				if ( ( mappedTypes || origType === handleObj.origType ) &&
+					( !handler || handler.guid === handleObj.guid ) &&
+					( !tmp || tmp.test( handleObj.namespace ) ) &&
+					( !selector || selector === handleObj.selector ||
+						selector === "**" && handleObj.selector ) ) {
+					handlers.splice( j, 1 );
+
+					if ( handleObj.selector ) {
+						handlers.delegateCount--;
+					}
+					if ( special.remove ) {
+						special.remove.call( elem, handleObj );
+					}
+				}
+			}
+
+			// Remove generic event handler if we removed something and no more handlers exist
+			// (avoids potential for endless recursion during removal of special event handlers)
+			if ( origCount && !handlers.length ) {
+				if ( !special.teardown ||
+					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
+
+					jQuery.removeEvent( elem, type, elemData.handle );
+				}
+
+				delete events[ type ];
+			}
+		}
+
+		// Remove data and the expando if it's no longer used
+		if ( jQuery.isEmptyObject( events ) ) {
+			dataPriv.remove( elem, "handle events" );
+		}
+	},
+
+	dispatch: function( nativeEvent ) {
+
+		var i, j, ret, matched, handleObj, handlerQueue,
+			args = new Array( arguments.length ),
+
+			// Make a writable jQuery.Event from the native event object
+			event = jQuery.event.fix( nativeEvent ),
+
+			handlers = (
+				dataPriv.get( this, "events" ) || Object.create( null )
+			)[ event.type ] || [],
+			special = jQuery.event.special[ event.type ] || {};
+
+		// Use the fix-ed jQuery.Event rather than the (read-only) native event
+		args[ 0 ] = event;
+
+		for ( i = 1; i < arguments.length; i++ ) {
+			args[ i ] = arguments[ i ];
+		}
+
+		event.delegateTarget = this;
+
+		// Call the preDispatch hook for the mapped type, and let it bail if desired
+		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
+			return;
+		}
+
+		// Determine handlers
+		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
+
+		// Run delegates first; they may want to stop propagation beneath us
+		i = 0;
+		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
+			event.currentTarget = matched.elem;
+
+			j = 0;
+			while ( ( handleObj = matched.handlers[ j++ ] ) &&
+				!event.isImmediatePropagationStopped() ) {
+
+				// If the event is namespaced, then each handler is only invoked if it is
+				// specially universal or its namespaces are a superset of the event's.
+				if ( !event.rnamespace || handleObj.namespace === false ||
+					event.rnamespace.test( handleObj.namespace ) ) {
+
+					event.handleObj = handleObj;
+					event.data = handleObj.data;
+
+					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
+						handleObj.handler ).apply( matched.elem, args );
+
+					if ( ret !== undefined ) {
+						if ( ( event.result = ret ) === false ) {
+							event.preventDefault();
+							event.stopPropagation();
+						}
+					}
+				}
+			}
+		}
+
+		// Call the postDispatch hook for the mapped type
+		if ( special.postDispatch ) {
+			special.postDispatch.call( this, event );
+		}
+
+		return event.result;
+	},
+
+	handlers: function( event, handlers ) {
+		var i, handleObj, sel, matchedHandlers, matchedSelectors,
+			handlerQueue = [],
+			delegateCount = handlers.delegateCount,
+			cur = event.target;
+
+		// Find delegate handlers
+		if ( delegateCount &&
+
+			// Support: IE <=9
+			// Black-hole SVG <use> instance trees (trac-13180)
+			cur.nodeType &&
+
+			// Support: Firefox <=42
+			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
+			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
+			// Support: IE 11 only
+			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
+			!( event.type === "click" && event.button >= 1 ) ) {
+
+			for ( ; cur !== this; cur = cur.parentNode || this ) {
+
+				// Don't check non-elements (#13208)
+				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
+				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
+					matchedHandlers = [];
+					matchedSelectors = {};
+					for ( i = 0; i < delegateCount; i++ ) {
+						handleObj = handlers[ i ];
+
+						// Don't conflict with Object.prototype properties (#13203)
+						sel = handleObj.selector + " ";
+
+						if ( matchedSelectors[ sel ] === undefined ) {
+							matchedSelectors[ sel ] = handleObj.needsContext ?
+								jQuery( sel, this ).index( cur ) > -1 :
+								jQuery.find( sel, this, null, [ cur ] ).length;
+						}
+						if ( matchedSelectors[ sel ] ) {
+							matchedHandlers.push( handleObj );
+						}
+					}
+					if ( matchedHandlers.length ) {
+						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
+					}
+				}
+			}
+		}
+
+		// Add the remaining (directly-bound) handlers
+		cur = this;
+		if ( delegateCount < handlers.length ) {
+			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
+		}
+
+		return handlerQueue;
+	},
+
+	addProp: function( name, hook ) {
+		Object.defineProperty( jQuery.Event.prototype, name, {
+			enumerable: true,
+			configurable: true,
+
+			get: isFunction( hook ) ?
+				function() {
+					if ( this.originalEvent ) {
+						return hook( this.originalEvent );
+					}
+				} :
+				function() {
+					if ( this.originalEvent ) {
+						return this.originalEvent[ name ];
+					}
+				},
+
+			set: function( value ) {
+				Object.defineProperty( this, name, {
+					enumerable: true,
+					configurable: true,
+					writable: true,
+					value: value
+				} );
+			}
+		} );
+	},
+
+	fix: function( originalEvent ) {
+		return originalEvent[ jQuery.expando ] ?
+			originalEvent :
+			new jQuery.Event( originalEvent );
+	},
+
+	special: {
+		load: {
+
+			// Prevent triggered image.load events from bubbling to window.load
+			noBubble: true
+		},
+		click: {
+
+			// Utilize native event to ensure correct state for checkable inputs
+			setup: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Claim the first handler
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					// dataPriv.set( el, "click", ... )
+					leverageNative( el, "click", returnTrue );
+				}
+
+				// Return false to allow normal processing in the caller
+				return false;
+			},
+			trigger: function( data ) {
+
+				// For mutual compressibility with _default, replace `this` access with a local var.
+				// `|| data` is dead code meant only to preserve the variable through minification.
+				var el = this || data;
+
+				// Force setup before triggering a click
+				if ( rcheckableType.test( el.type ) &&
+					el.click && nodeName( el, "input" ) ) {
+
+					leverageNative( el, "click" );
+				}
+
+				// Return non-false to allow normal event-path propagation
+				return true;
+			},
+
+			// For cross-browser consistency, suppress native .click() on links
+			// Also prevent it if we're currently inside a leveraged native-event stack
+			_default: function( event ) {
+				var target = event.target;
+				return rcheckableType.test( target.type ) &&
+					target.click && nodeName( target, "input" ) &&
+					dataPriv.get( target, "click" ) ||
+					nodeName( target, "a" );
+			}
+		},
+
+		beforeunload: {
+			postDispatch: function( event ) {
+
+				// Support: Firefox 20+
+				// Firefox doesn't alert if the returnValue field is not set.
+				if ( event.result !== undefined && event.originalEvent ) {
+					event.originalEvent.returnValue = event.result;
+				}
+			}
+		}
+	}
+};
+
+// Ensure the presence of an event listener that handles manually-triggered
+// synthetic events by interrupting progress until reinvoked in response to
+// *native* events that it fires directly, ensuring that state changes have
+// already occurred before other listeners are invoked.
+function leverageNative( el, type, expectSync ) {
+
+	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
+	if ( !expectSync ) {
+		if ( dataPriv.get( el, type ) === undefined ) {
+			jQuery.event.add( el, type, returnTrue );
+		}
+		return;
+	}
+
+	// Register the controller as a special universal handler for all event namespaces
+	dataPriv.set( el, type, false );
+	jQuery.event.add( el, type, {
+		namespace: false,
+		handler: function( event ) {
+			var notAsync, result,
+				saved = dataPriv.get( this, type );
+
+			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
+
+				// Interrupt processing of the outer synthetic .trigger()ed event
+				// Saved data should be false in such cases, but might be a leftover capture object
+				// from an async native handler (gh-4350)
+				if ( !saved.length ) {
+
+					// Store arguments for use when handling the inner native event
+					// There will always be at least one argument (an event object), so this array
+					// will not be confused with a leftover capture object.
+					saved = slice.call( arguments );
+					dataPriv.set( this, type, saved );
+
+					// Trigger the native event and capture its result
+					// Support: IE <=9 - 11+
+					// focus() and blur() are asynchronous
+					notAsync = expectSync( this, type );
+					this[ type ]();
+					result = dataPriv.get( this, type );
+					if ( saved !== result || notAsync ) {
+						dataPriv.set( this, type, false );
+					} else {
+						result = {};
+					}
+					if ( saved !== result ) {
+
+						// Cancel the outer synthetic event
+						event.stopImmediatePropagation();
+						event.preventDefault();
+
+						// Support: Chrome 86+
+						// In Chrome, if an element having a focusout handler is blurred by
+						// clicking outside of it, it invokes the handler synchronously. If
+						// that handler calls `.remove()` on the element, the data is cleared,
+						// leaving `result` undefined. We need to guard against this.
+						return result && result.value;
+					}
+
+				// If this is an inner synthetic event for an event with a bubbling surrogate
+				// (focus or blur), assume that the surrogate already propagated from triggering the
+				// native event and prevent that from happening again here.
+				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
+				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
+				// less bad than duplication.
+				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
+					event.stopPropagation();
+				}
+
+			// If this is a native event triggered above, everything is now in order
+			// Fire an inner synthetic event with the original arguments
+			} else if ( saved.length ) {
+
+				// ...and capture the result
+				dataPriv.set( this, type, {
+					value: jQuery.event.trigger(
+
+						// Support: IE <=9 - 11+
+						// Extend with the prototype to reset the above stopImmediatePropagation()
+						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
+						saved.slice( 1 ),
+						this
+					)
+				} );
+
+				// Abort handling of the native event
+				event.stopImmediatePropagation();
+			}
+		}
+	} );
+}
+
+jQuery.removeEvent = function( elem, type, handle ) {
+
+	// This "if" is needed for plain objects
+	if ( elem.removeEventListener ) {
+		elem.removeEventListener( type, handle );
+	}
+};
+
+jQuery.Event = function( src, props ) {
+
+	// Allow instantiation without the 'new' keyword
+	if ( !( this instanceof jQuery.Event ) ) {
+		return new jQuery.Event( src, props );
+	}
+
+	// Event object
+	if ( src && src.type ) {
+		this.originalEvent = src;
+		this.type = src.type;
+
+		// Events bubbling up the document may have been marked as prevented
+		// by a handler lower down the tree; reflect the correct value.
+		this.isDefaultPrevented = src.defaultPrevented ||
+				src.defaultPrevented === undefined &&
+
+				// Support: Android <=2.3 only
+				src.returnValue === false ?
+			returnTrue :
+			returnFalse;
+
+		// Create target properties
+		// Support: Safari <=6 - 7 only
+		// Target should not be a text node (#504, #13143)
+		this.target = ( src.target && src.target.nodeType === 3 ) ?
+			src.target.parentNode :
+			src.target;
+
+		this.currentTarget = src.currentTarget;
+		this.relatedTarget = src.relatedTarget;
+
+	// Event type
+	} else {
+		this.type = src;
+	}
+
+	// Put explicitly provided properties onto the event object
+	if ( props ) {
+		jQuery.extend( this, props );
+	}
+
+	// Create a timestamp if incoming event doesn't have one
+	this.timeStamp = src && src.timeStamp || Date.now();
+
+	// Mark it as fixed
+	this[ jQuery.expando ] = true;
+};
+
+// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
+// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
+jQuery.Event.prototype = {
+	constructor: jQuery.Event,
+	isDefaultPrevented: returnFalse,
+	isPropagationStopped: returnFalse,
+	isImmediatePropagationStopped: returnFalse,
+	isSimulated: false,
+
+	preventDefault: function() {
+		var e = this.originalEvent;
+
+		this.isDefaultPrevented = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.preventDefault();
+		}
+	},
+	stopPropagation: function() {
+		var e = this.originalEvent;
+
+		this.isPropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopPropagation();
+		}
+	},
+	stopImmediatePropagation: function() {
+		var e = this.originalEvent;
+
+		this.isImmediatePropagationStopped = returnTrue;
+
+		if ( e && !this.isSimulated ) {
+			e.stopImmediatePropagation();
+		}
+
+		this.stopPropagation();
+	}
+};
+
+// Includes all common event props including KeyEvent and MouseEvent specific props
+jQuery.each( {
+	altKey: true,
+	bubbles: true,
+	cancelable: true,
+	changedTouches: true,
+	ctrlKey: true,
+	detail: true,
+	eventPhase: true,
+	metaKey: true,
+	pageX: true,
+	pageY: true,
+	shiftKey: true,
+	view: true,
+	"char": true,
+	code: true,
+	charCode: true,
+	key: true,
+	keyCode: true,
+	button: true,
+	buttons: true,
+	clientX: true,
+	clientY: true,
+	offsetX: true,
+	offsetY: true,
+	pointerId: true,
+	pointerType: true,
+	screenX: true,
+	screenY: true,
+	targetTouches: true,
+	toElement: true,
+	touches: true,
+	which: true
+}, jQuery.event.addProp );
+
+jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
+	jQuery.event.special[ type ] = {
+
+		// Utilize native event if possible so blur/focus sequence is correct
+		setup: function() {
+
+			// Claim the first handler
+			// dataPriv.set( this, "focus", ... )
+			// dataPriv.set( this, "blur", ... )
+			leverageNative( this, type, expectSync );
+
+			// Return false to allow normal processing in the caller
+			return false;
+		},
+		trigger: function() {
+
+			// Force setup before trigger
+			leverageNative( this, type );
+
+			// Return non-false to allow normal event-path propagation
+			return true;
+		},
+
+		// Suppress native focus or blur as it's already being fired
+		// in leverageNative.
+		_default: function() {
+			return true;
+		},
+
+		delegateType: delegateType
+	};
+} );
+
+// Create mouseenter/leave events using mouseover/out and event-time checks
+// so that event delegation works in jQuery.
+// Do the same for pointerenter/pointerleave and pointerover/pointerout
+//
+// Support: Safari 7 only
+// Safari sends mouseenter too often; see:
+// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
+// for the description of the bug (it existed in older Chrome versions as well).
+jQuery.each( {
+	mouseenter: "mouseover",
+	mouseleave: "mouseout",
+	pointerenter: "pointerover",
+	pointerleave: "pointerout"
+}, function( orig, fix ) {
+	jQuery.event.special[ orig ] = {
+		delegateType: fix,
+		bindType: fix,
+
+		handle: function( event ) {
+			var ret,
+				target = this,
+				related = event.relatedTarget,
+				handleObj = event.handleObj;
+
+			// For mouseenter/leave call the handler if related is outside the target.
+			// NB: No relatedTarget if the mouse left/entered the browser window
+			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
+				event.type = handleObj.origType;
+				ret = handleObj.handler.apply( this, arguments );
+				event.type = fix;
+			}
+			return ret;
+		}
+	};
+} );
+
+jQuery.fn.extend( {
+
+	on: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn );
+	},
+	one: function( types, selector, data, fn ) {
+		return on( this, types, selector, data, fn, 1 );
+	},
+	off: function( types, selector, fn ) {
+		var handleObj, type;
+		if ( types && types.preventDefault && types.handleObj ) {
+
+			// ( event )  dispatched jQuery.Event
+			handleObj = types.handleObj;
+			jQuery( types.delegateTarget ).off(
+				handleObj.namespace ?
+					handleObj.origType + "." + handleObj.namespace :
+					handleObj.origType,
+				handleObj.selector,
+				handleObj.handler
+			);
+			return this;
+		}
+		if ( typeof types === "object" ) {
+
+			// ( types-object [, selector] )
+			for ( type in types ) {
+				this.off( type, selector, types[ type ] );
+			}
+			return this;
+		}
+		if ( selector === false || typeof selector === "function" ) {
+
+			// ( types [, fn] )
+			fn = selector;
+			selector = undefined;
+		}
+		if ( fn === false ) {
+			fn = returnFalse;
+		}
+		return this.each( function() {
+			jQuery.event.remove( this, types, fn, selector );
+		} );
+	}
+} );
+
+
+var
+
+	// Support: IE <=10 - 11, Edge 12 - 13 only
+	// In IE/Edge using regex groups here causes severe slowdowns.
+	// See https://connect.microsoft.com/IE/feedback/details/1736512/
+	rnoInnerhtml = /<script|<style|<link/i,
+
+	// checked="checked" or checked
+	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
+	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
+
+// Prefer a tbody over its parent table for containing new rows
+function manipulationTarget( elem, content ) {
+	if ( nodeName( elem, "table" ) &&
+		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
+
+		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
+	}
+
+	return elem;
+}
+
+// Replace/restore the type attribute of script elements for safe DOM manipulation
+function disableScript( elem ) {
+	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
+	return elem;
+}
+function restoreScript( elem ) {
+	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
+		elem.type = elem.type.slice( 5 );
+	} else {
+		elem.removeAttribute( "type" );
+	}
+
+	return elem;
+}
+
+function cloneCopyEvent( src, dest ) {
+	var i, l, type, pdataOld, udataOld, udataCur, events;
+
+	if ( dest.nodeType !== 1 ) {
+		return;
+	}
+
+	// 1. Copy private data: events, handlers, etc.
+	if ( dataPriv.hasData( src ) ) {
+		pdataOld = dataPriv.get( src );
+		events = pdataOld.events;
+
+		if ( events ) {
+			dataPriv.remove( dest, "handle events" );
+
+			for ( type in events ) {
+				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
+					jQuery.event.add( dest, type, events[ type ][ i ] );
+				}
+			}
+		}
+	}
+
+	// 2. Copy user data
+	if ( dataUser.hasData( src ) ) {
+		udataOld = dataUser.access( src );
+		udataCur = jQuery.extend( {}, udataOld );
+
+		dataUser.set( dest, udataCur );
+	}
+}
+
+// Fix IE bugs, see support tests
+function fixInput( src, dest ) {
+	var nodeName = dest.nodeName.toLowerCase();
+
+	// Fails to persist the checked state of a cloned checkbox or radio button.
+	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
+		dest.checked = src.checked;
+
+	// Fails to return the selected option to the default selected state when cloning options
+	} else if ( nodeName === "input" || nodeName === "textarea" ) {
+		dest.defaultValue = src.defaultValue;
+	}
+}
+
+function domManip( collection, args, callback, ignored ) {
+
+	// Flatten any nested arrays
+	args = flat( args );
+
+	var fragment, first, scripts, hasScripts, node, doc,
+		i = 0,
+		l = collection.length,
+		iNoClone = l - 1,
+		value = args[ 0 ],
+		valueIsFunction = isFunction( value );
+
+	// We can't cloneNode fragments that contain checked, in WebKit
+	if ( valueIsFunction ||
+			( l > 1 && typeof value === "string" &&
+				!support.checkClone && rchecked.test( value ) ) ) {
+		return collection.each( function( index ) {
+			var self = collection.eq( index );
+			if ( valueIsFunction ) {
+				args[ 0 ] = value.call( this, index, self.html() );
+			}
+			domManip( self, args, callback, ignored );
+		} );
+	}
+
+	if ( l ) {
+		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
+		first = fragment.firstChild;
+
+		if ( fragment.childNodes.length === 1 ) {
+			fragment = first;
+		}
+
+		// Require either new content or an interest in ignored elements to invoke the callback
+		if ( first || ignored ) {
+			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
+			hasScripts = scripts.length;
+
+			// Use the original fragment for the last item
+			// instead of the first because it can end up
+			// being emptied incorrectly in certain situations (#8070).
+			for ( ; i < l; i++ ) {
+				node = fragment;
+
+				if ( i !== iNoClone ) {
+					node = jQuery.clone( node, true, true );
+
+					// Keep references to cloned scripts for later restoration
+					if ( hasScripts ) {
+
+						// Support: Android <=4.0 only, PhantomJS 1 only
+						// push.apply(_, arraylike) throws on ancient WebKit
+						jQuery.merge( scripts, getAll( node, "script" ) );
+					}
+				}
+
+				callback.call( collection[ i ], node, i );
+			}
+
+			if ( hasScripts ) {
+				doc = scripts[ scripts.length - 1 ].ownerDocument;
+
+				// Reenable scripts
+				jQuery.map( scripts, restoreScript );
+
+				// Evaluate executable scripts on first document insertion
+				for ( i = 0; i < hasScripts; i++ ) {
+					node = scripts[ i ];
+					if ( rscriptType.test( node.type || "" ) &&
+						!dataPriv.access( node, "globalEval" ) &&
+						jQuery.contains( doc, node ) ) {
+
+						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
+
+							// Optional AJAX dependency, but won't run scripts if not present
+							if ( jQuery._evalUrl && !node.noModule ) {
+								jQuery._evalUrl( node.src, {
+									nonce: node.nonce || node.getAttribute( "nonce" )
+								}, doc );
+							}
+						} else {
+							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return collection;
+}
+
+function remove( elem, selector, keepData ) {
+	var node,
+		nodes = selector ? jQuery.filter( selector, elem ) : elem,
+		i = 0;
+
+	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
+		if ( !keepData && node.nodeType === 1 ) {
+			jQuery.cleanData( getAll( node ) );
+		}
+
+		if ( node.parentNode ) {
+			if ( keepData && isAttached( node ) ) {
+				setGlobalEval( getAll( node, "script" ) );
+			}
+			node.parentNode.removeChild( node );
+		}
+	}
+
+	return elem;
+}
+
+jQuery.extend( {
+	htmlPrefilter: function( html ) {
+		return html;
+	},
+
+	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
+		var i, l, srcElements, destElements,
+			clone = elem.cloneNode( true ),
+			inPage = isAttached( elem );
+
+		// Fix IE cloning issues
+		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
+				!jQuery.isXMLDoc( elem ) ) {
+
+			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
+			destElements = getAll( clone );
+			srcElements = getAll( elem );
+
+			for ( i = 0, l = srcElements.length; i < l; i++ ) {
+				fixInput( srcElements[ i ], destElements[ i ] );
+			}
+		}
+
+		// Copy the events from the original to the clone
+		if ( dataAndEvents ) {
+			if ( deepDataAndEvents ) {
+				srcElements = srcElements || getAll( elem );
+				destElements = destElements || getAll( clone );
+
+				for ( i = 0, l = srcElements.length; i < l; i++ ) {
+					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
+				}
+			} else {
+				cloneCopyEvent( elem, clone );
+			}
+		}
+
+		// Preserve script evaluation history
+		destElements = getAll( clone, "script" );
+		if ( destElements.length > 0 ) {
+			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
+		}
+
+		// Return the cloned set
+		return clone;
+	},
+
+	cleanData: function( elems ) {
+		var data, elem, type,
+			special = jQuery.event.special,
+			i = 0;
+
+		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
+			if ( acceptData( elem ) ) {
+				if ( ( data = elem[ dataPriv.expando ] ) ) {
+					if ( data.events ) {
+						for ( type in data.events ) {
+							if ( special[ type ] ) {
+								jQuery.event.remove( elem, type );
+
+							// This is a shortcut to avoid jQuery.event.remove's overhead
+							} else {
+								jQuery.removeEvent( elem, type, data.handle );
+							}
+						}
+					}
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataPriv.expando ] = undefined;
+				}
+				if ( elem[ dataUser.expando ] ) {
+
+					// Support: Chrome <=35 - 45+
+					// Assign undefined instead of using delete, see Data#remove
+					elem[ dataUser.expando ] = undefined;
+				}
+			}
+		}
+	}
+} );
+
+jQuery.fn.extend( {
+	detach: function( selector ) {
+		return remove( this, selector, true );
+	},
+
+	remove: function( selector ) {
+		return remove( this, selector );
+	},
+
+	text: function( value ) {
+		return access( this, function( value ) {
+			return value === undefined ?
+				jQuery.text( this ) :
+				this.empty().each( function() {
+					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+						this.textContent = value;
+					}
+				} );
+		}, null, value, arguments.length );
+	},
+
+	append: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.appendChild( elem );
+			}
+		} );
+	},
+
+	prepend: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
+				var target = manipulationTarget( this, elem );
+				target.insertBefore( elem, target.firstChild );
+			}
+		} );
+	},
+
+	before: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this );
+			}
+		} );
+	},
+
+	after: function() {
+		return domManip( this, arguments, function( elem ) {
+			if ( this.parentNode ) {
+				this.parentNode.insertBefore( elem, this.nextSibling );
+			}
+		} );
+	},
+
+	empty: function() {
+		var elem,
+			i = 0;
+
+		for ( ; ( elem = this[ i ] ) != null; i++ ) {
+			if ( elem.nodeType === 1 ) {
+
+				// Prevent memory leaks
+				jQuery.cleanData( getAll( elem, false ) );
+
+				// Remove any remaining nodes
+				elem.textContent = "";
+			}
+		}
+
+		return this;
+	},
+
+	clone: function( dataAndEvents, deepDataAndEvents ) {
+		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
+		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
+
+		return this.map( function() {
+			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
+		} );
+	},
+
+	html: function( value ) {
+		return access( this, function( value ) {
+			var elem = this[ 0 ] || {},
+				i = 0,
+				l = this.length;
+
+			if ( value === undefined && elem.nodeType === 1 ) {
+				return elem.innerHTML;
+			}
+
+			// See if we can take a shortcut and just use innerHTML
+			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
+				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
+
+				value = jQuery.htmlPrefilter( value );
+
+				try {
+					for ( ; i < l; i++ ) {
+						elem = this[ i ] || {};
+
+						// Remove element nodes and prevent memory leaks
+						if ( elem.nodeType === 1 ) {
+							jQuery.cleanData( getAll( elem, false ) );
+							elem.innerHTML = value;
+						}
+					}
+
+					elem = 0;
+
+				// If using innerHTML throws an exception, use the fallback method
+				} catch ( e ) {}
+			}
+
+			if ( elem ) {
+				this.empty().append( value );
+			}
+		}, null, value, arguments.length );
+	},
+
+	replaceWith: function() {
+		var ignored = [];
+
+		// Make the changes, replacing each non-ignored context element with the new content
+		return domManip( this, arguments, function( elem ) {
+			var parent = this.parentNode;
+
+			if ( jQuery.inArray( this, ignored ) < 0 ) {
+				jQuery.cleanData( getAll( this ) );
+				if ( parent ) {
+					parent.replaceChild( elem, this );
+				}
+			}
+
+		// Force callback invocation
+		}, ignored );
+	}
+} );
+
+jQuery.each( {
+	appendTo: "append",
+	prependTo: "prepend",
+	insertBefore: "before",
+	insertAfter: "after",
+	replaceAll: "replaceWith"
+}, function( name, original ) {
+	jQuery.fn[ name ] = function( selector ) {
+		var elems,
+			ret = [],
+			insert = jQuery( selector ),
+			last = insert.length - 1,
+			i = 0;
+
+		for ( ; i <= last; i++ ) {
+			elems = i === last ? this : this.clone( true );
+			jQuery( insert[ i ] )[ original ]( elems );
+
+			// Support: Android <=4.0 only, PhantomJS 1 only
+			// .get() because push.apply(_, arraylike) throws on ancient WebKit
+			push.apply( ret, elems.get() );
+		}
+
+		return this.pushStack( ret );
+	};
+} );
+var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
+
+var getStyles = function( elem ) {
+
+		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
+		// IE throws on elements created in popups
+		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
+		var view = elem.ownerDocument.defaultView;
+
+		if ( !view || !view.opener ) {
+			view = window;
+		}
+
+		return view.getComputedStyle( elem );
+	};
+
+var swap = function( elem, options, callback ) {
+	var ret, name,
+		old = {};
+
+	// Remember the old values, and insert the new ones
+	for ( name in options ) {
+		old[ name ] = elem.style[ name ];
+		elem.style[ name ] = options[ name ];
+	}
+
+	ret = callback.call( elem );
+
+	// Revert the old values
+	for ( name in options ) {
+		elem.style[ name ] = old[ name ];
+	}
+
+	return ret;
+};
+
+
+var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
+
+
+
+( function() {
+
+	// Executing both pixelPosition & boxSizingReliable tests require only one layout
+	// so they're executed at the same time to save the second computation.
+	function computeStyleTests() {
+
+		// This is a singleton, we need to execute it only once
+		if ( !div ) {
+			return;
+		}
+
+		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
+			"margin-top:1px;padding:0;border:0";
+		div.style.cssText =
+			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
+			"margin:auto;border:1px;padding:1px;" +
+			"width:60%;top:1%";
+		documentElement.appendChild( container ).appendChild( div );
+
+		var divStyle = window.getComputedStyle( div );
+		pixelPositionVal = divStyle.top !== "1%";
+
+		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
+		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
+
+		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
+		// Some styles come back with percentage values, even though they shouldn't
+		div.style.right = "60%";
+		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
+
+		// Support: IE 9 - 11 only
+		// Detect misreporting of content dimensions for box-sizing:border-box elements
+		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
+
+		// Support: IE 9 only
+		// Detect overflow:scroll screwiness (gh-3699)
+		// Support: Chrome <=64
+		// Don't get tricked when zoom affects offsetWidth (gh-4029)
+		div.style.position = "absolute";
+		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
+
+		documentElement.removeChild( container );
+
+		// Nullify the div so it wouldn't be stored in the memory and
+		// it will also be a sign that checks already performed
+		div = null;
+	}
+
+	function roundPixelMeasures( measure ) {
+		return Math.round( parseFloat( measure ) );
+	}
+
+	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
+		reliableTrDimensionsVal, reliableMarginLeftVal,
+		container = document.createElement( "div" ),
+		div = document.createElement( "div" );
+
+	// Finish early in limited (non-browser) environments
+	if ( !div.style ) {
+		return;
+	}
+
+	// Support: IE <=9 - 11 only
+	// Style of cloned element affects source element cloned (#8908)
+	div.style.backgroundClip = "content-box";
+	div.cloneNode( true ).style.backgroundClip = "";
+	support.clearCloneStyle = div.style.backgroundClip === "content-box";
+
+	jQuery.extend( support, {
+		boxSizingReliable: function() {
+			computeStyleTests();
+			return boxSizingReliableVal;
+		},
+		pixelBoxStyles: function() {
+			computeStyleTests();
+			return pixelBoxStylesVal;
+		},
+		pixelPosition: function() {
+			computeStyleTests();
+			return pixelPositionVal;
+		},
+		reliableMarginLeft: function() {
+			computeStyleTests();
+			return reliableMarginLeftVal;
+		},
+		scrollboxSize: function() {
+			computeStyleTests();
+			return scrollboxSizeVal;
+		},
+
+		// Support: IE 9 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Behavior in IE 9 is more subtle than in newer versions & it passes
+		// some versions of this test; make sure not to make it pass there!
+		//
+		// Support: Firefox 70+
+		// Only Firefox includes border widths
+		// in computed dimensions. (gh-4529)
+		reliableTrDimensions: function() {
+			var table, tr, trChild, trStyle;
+			if ( reliableTrDimensionsVal == null ) {
+				table = document.createElement( "table" );
+				tr = document.createElement( "tr" );
+				trChild = document.createElement( "div" );
+
+				table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
+				tr.style.cssText = "border:1px solid";
+
+				// Support: Chrome 86+
+				// Height set through cssText does not get applied.
+				// Computed height then comes back as 0.
+				tr.style.height = "1px";
+				trChild.style.height = "9px";
+
+				// Support: Android 8 Chrome 86+
+				// In our bodyBackground.html iframe,
+				// display for all div elements is set to "inline",
+				// which causes a problem only in Android 8 Chrome 86.
+				// Ensuring the div is display: block
+				// gets around this issue.
+				trChild.style.display = "block";
+
+				documentElement
+					.appendChild( table )
+					.appendChild( tr )
+					.appendChild( trChild );
+
+				trStyle = window.getComputedStyle( tr );
+				reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
+					parseInt( trStyle.borderTopWidth, 10 ) +
+					parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
+
+				documentElement.removeChild( table );
+			}
+			return reliableTrDimensionsVal;
+		}
+	} );
+} )();
+
+
+function curCSS( elem, name, computed ) {
+	var width, minWidth, maxWidth, ret,
+
+		// Support: Firefox 51+
+		// Retrieving style before computed somehow
+		// fixes an issue with getting wrong values
+		// on detached elements
+		style = elem.style;
+
+	computed = computed || getStyles( elem );
+
+	// getPropertyValue is needed for:
+	//   .css('filter') (IE 9 only, #12537)
+	//   .css('--customProperty) (#3144)
+	if ( computed ) {
+		ret = computed.getPropertyValue( name ) || computed[ name ];
+
+		if ( ret === "" && !isAttached( elem ) ) {
+			ret = jQuery.style( elem, name );
+		}
+
+		// A tribute to the "awesome hack by Dean Edwards"
+		// Android Browser returns percentage for some values,
+		// but width seems to be reliably pixels.
+		// This is against the CSSOM draft spec:
+		// https://drafts.csswg.org/cssom/#resolved-values
+		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
+
+			// Remember the original values
+			width = style.width;
+			minWidth = style.minWidth;
+			maxWidth = style.maxWidth;
+
+			// Put in the new values to get a computed value out
+			style.minWidth = style.maxWidth = style.width = ret;
+			ret = computed.width;
+
+			// Revert the changed values
+			style.width = width;
+			style.minWidth = minWidth;
+			style.maxWidth = maxWidth;
+		}
+	}
+
+	return ret !== undefined ?
+
+		// Support: IE <=9 - 11 only
+		// IE returns zIndex value as an integer.
+		ret + "" :
+		ret;
+}
+
+
+function addGetHookIf( conditionFn, hookFn ) {
+
+	// Define the hook, we'll check on the first run if it's really needed.
+	return {
+		get: function() {
+			if ( conditionFn() ) {
+
+				// Hook not needed (or it's not possible to use it due
+				// to missing dependency), remove it.
+				delete this.get;
+				return;
+			}
+
+			// Hook needed; redefine it so that the support test is not executed again.
+			return ( this.get = hookFn ).apply( this, arguments );
+		}
+	};
+}
+
+
+var cssPrefixes = [ "Webkit", "Moz", "ms" ],
+	emptyStyle = document.createElement( "div" ).style,
+	vendorProps = {};
+
+// Return a vendor-prefixed property or undefined
+function vendorPropName( name ) {
+
+	// Check for vendor prefixed names
+	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
+		i = cssPrefixes.length;
+
+	while ( i-- ) {
+		name = cssPrefixes[ i ] + capName;
+		if ( name in emptyStyle ) {
+			return name;
+		}
+	}
+}
+
+// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
+function finalPropName( name ) {
+	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
+
+	if ( final ) {
+		return final;
+	}
+	if ( name in emptyStyle ) {
+		return name;
+	}
+	return vendorProps[ name ] = vendorPropName( name ) || name;
+}
+
+
+var
+
+	// Swappable if display is none or starts with table
+	// except "table", "table-cell", or "table-caption"
+	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
+	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
+	rcustomProp = /^--/,
+	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
+	cssNormalTransform = {
+		letterSpacing: "0",
+		fontWeight: "400"
+	};
+
+function setPositiveNumber( _elem, value, subtract ) {
+
+	// Any relative (+/-) values have already been
+	// normalized at this point
+	var matches = rcssNum.exec( value );
+	return matches ?
+
+		// Guard against undefined "subtract", e.g., when used as in cssHooks
+		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
+		value;
+}
+
+function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
+	var i = dimension === "width" ? 1 : 0,
+		extra = 0,
+		delta = 0;
+
+	// Adjustment may not be necessary
+	if ( box === ( isBorderBox ? "border" : "content" ) ) {
+		return 0;
+	}
+
+	for ( ; i < 4; i += 2 ) {
+
+		// Both box models exclude margin
+		if ( box === "margin" ) {
+			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
+		}
+
+		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
+		if ( !isBorderBox ) {
+
+			// Add padding
+			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+
+			// For "border" or "margin", add border
+			if ( box !== "padding" ) {
+				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+
+			// But still keep track of it otherwise
+			} else {
+				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+
+		// If we get here with a border-box (content + padding + border), we're seeking "content" or
+		// "padding" or "margin"
+		} else {
+
+			// For "content", subtract padding
+			if ( box === "content" ) {
+				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
+			}
+
+			// For "content" or "padding", subtract border
+			if ( box !== "margin" ) {
+				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
+			}
+		}
+	}
+
+	// Account for positive content-box scroll gutter when requested by providing computedVal
+	if ( !isBorderBox && computedVal >= 0 ) {
+
+		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
+		// Assuming integer scroll gutter, subtract the rest and round down
+		delta += Math.max( 0, Math.ceil(
+			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+			computedVal -
+			delta -
+			extra -
+			0.5
+
+		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
+		// Use an explicit zero to avoid NaN (gh-3964)
+		) ) || 0;
+	}
+
+	return delta;
+}
+
+function getWidthOrHeight( elem, dimension, extra ) {
+
+	// Start with computed style
+	var styles = getStyles( elem ),
+
+		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
+		// Fake content-box until we know it's needed to know the true value.
+		boxSizingNeeded = !support.boxSizingReliable() || extra,
+		isBorderBox = boxSizingNeeded &&
+			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+		valueIsBorderBox = isBorderBox,
+
+		val = curCSS( elem, dimension, styles ),
+		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
+
+	// Support: Firefox <=54
+	// Return a confounding non-pixel value or feign ignorance, as appropriate.
+	if ( rnumnonpx.test( val ) ) {
+		if ( !extra ) {
+			return val;
+		}
+		val = "auto";
+	}
+
+
+	// Support: IE 9 - 11 only
+	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
+	// In those cases, the computed value can be trusted to be border-box.
+	if ( ( !support.boxSizingReliable() && isBorderBox ||
+
+		// Support: IE 10 - 11+, Edge 15 - 18+
+		// IE/Edge misreport `getComputedStyle` of table rows with width/height
+		// set in CSS while `offset*` properties report correct values.
+		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
+		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
+
+		// Fall back to offsetWidth/offsetHeight when value is "auto"
+		// This happens for inline elements with no explicit setting (gh-3571)
+		val === "auto" ||
+
+		// Support: Android <=4.1 - 4.3 only
+		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
+		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
+
+		// Make sure the element is visible & connected
+		elem.getClientRects().length ) {
+
+		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
+
+		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
+		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
+		// retrieved value as a content box dimension.
+		valueIsBorderBox = offsetProp in elem;
+		if ( valueIsBorderBox ) {
+			val = elem[ offsetProp ];
+		}
+	}
+
+	// Normalize "" and auto
+	val = parseFloat( val ) || 0;
+
+	// Adjust for the element's box model
+	return ( val +
+		boxModelAdjustment(
+			elem,
+			dimension,
+			extra || ( isBorderBox ? "border" : "content" ),
+			valueIsBorderBox,
+			styles,
+
+			// Provide the current computed size to request scroll gutter calculation (gh-3589)
+			val
+		)
+	) + "px";
+}
+
+jQuery.extend( {
+
+	// Add in style property hooks for overriding the default
+	// behavior of getting and setting a style property
+	cssHooks: {
+		opacity: {
+			get: function( elem, computed ) {
+				if ( computed ) {
+
+					// We should always get a number back from opacity
+					var ret = curCSS( elem, "opacity" );
+					return ret === "" ? "1" : ret;
+				}
+			}
+		}
+	},
+
+	// Don't automatically add "px" to these possibly-unitless properties
+	cssNumber: {
+		"animationIterationCount": true,
+		"columnCount": true,
+		"fillOpacity": true,
+		"flexGrow": true,
+		"flexShrink": true,
+		"fontWeight": true,
+		"gridArea": true,
+		"gridColumn": true,
+		"gridColumnEnd": true,
+		"gridColumnStart": true,
+		"gridRow": true,
+		"gridRowEnd": true,
+		"gridRowStart": true,
+		"lineHeight": true,
+		"opacity": true,
+		"order": true,
+		"orphans": true,
+		"widows": true,
+		"zIndex": true,
+		"zoom": true
+	},
+
+	// Add in properties whose names you wish to fix before
+	// setting or getting the value
+	cssProps: {},
+
+	// Get and set the style property on a DOM Node
+	style: function( elem, name, value, extra ) {
+
+		// Don't set styles on text and comment nodes
+		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
+			return;
+		}
+
+		// Make sure that we're working with the right name
+		var ret, type, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name ),
+			style = elem.style;
+
+		// Make sure that we're working with the right name. We don't
+		// want to query the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Gets hook for the prefixed version, then unprefixed version
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// Check if we're setting a value
+		if ( value !== undefined ) {
+			type = typeof value;
+
+			// Convert "+=" or "-=" to relative numbers (#7345)
+			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
+				value = adjustCSS( elem, name, ret );
+
+				// Fixes bug #9237
+				type = "number";
+			}
+
+			// Make sure that null and NaN values aren't set (#7116)
+			if ( value == null || value !== value ) {
+				return;
+			}
+
+			// If a number was passed in, add the unit (except for certain CSS properties)
+			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
+			// "px" to a few hardcoded values.
+			if ( type === "number" && !isCustomProp ) {
+				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
+			}
+
+			// background-* props affect original clone's values
+			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
+				style[ name ] = "inherit";
+			}
+
+			// If a hook was provided, use that value, otherwise just set the specified value
+			if ( !hooks || !( "set" in hooks ) ||
+				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
+
+				if ( isCustomProp ) {
+					style.setProperty( name, value );
+				} else {
+					style[ name ] = value;
+				}
+			}
+
+		} else {
+
+			// If a hook was provided get the non-computed value from there
+			if ( hooks && "get" in hooks &&
+				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
+
+				return ret;
+			}
+
+			// Otherwise just get the value from the style object
+			return style[ name ];
+		}
+	},
+
+	css: function( elem, name, extra, styles ) {
+		var val, num, hooks,
+			origName = camelCase( name ),
+			isCustomProp = rcustomProp.test( name );
+
+		// Make sure that we're working with the right name. We don't
+		// want to modify the value if it is a CSS custom property
+		// since they are user-defined.
+		if ( !isCustomProp ) {
+			name = finalPropName( origName );
+		}
+
+		// Try prefixed name followed by the unprefixed name
+		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
+
+		// If a hook was provided get the computed value from there
+		if ( hooks && "get" in hooks ) {
+			val = hooks.get( elem, true, extra );
+		}
+
+		// Otherwise, if a way to get the computed value exists, use that
+		if ( val === undefined ) {
+			val = curCSS( elem, name, styles );
+		}
+
+		// Convert "normal" to computed value
+		if ( val === "normal" && name in cssNormalTransform ) {
+			val = cssNormalTransform[ name ];
+		}
+
+		// Make numeric if forced or a qualifier was provided and val looks numeric
+		if ( extra === "" || extra ) {
+			num = parseFloat( val );
+			return extra === true || isFinite( num ) ? num || 0 : val;
+		}
+
+		return val;
+	}
+} );
+
+jQuery.each( [ "height", "width" ], function( _i, dimension ) {
+	jQuery.cssHooks[ dimension ] = {
+		get: function( elem, computed, extra ) {
+			if ( computed ) {
+
+				// Certain elements can have dimension info if we invisibly show them
+				// but it must have a current display style that would benefit
+				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
+
+					// Support: Safari 8+
+					// Table columns in Safari have non-zero offsetWidth & zero
+					// getBoundingClientRect().width unless display is changed.
+					// Support: IE <=11 only
+					// Running getBoundingClientRect on a disconnected node
+					// in IE throws an error.
+					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
+					swap( elem, cssShow, function() {
+						return getWidthOrHeight( elem, dimension, extra );
+					} ) :
+					getWidthOrHeight( elem, dimension, extra );
+			}
+		},
+
+		set: function( elem, value, extra ) {
+			var matches,
+				styles = getStyles( elem ),
+
+				// Only read styles.position if the test has a chance to fail
+				// to avoid forcing a reflow.
+				scrollboxSizeBuggy = !support.scrollboxSize() &&
+					styles.position === "absolute",
+
+				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
+				boxSizingNeeded = scrollboxSizeBuggy || extra,
+				isBorderBox = boxSizingNeeded &&
+					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
+				subtract = extra ?
+					boxModelAdjustment(
+						elem,
+						dimension,
+						extra,
+						isBorderBox,
+						styles
+					) :
+					0;
+
+			// Account for unreliable border-box dimensions by comparing offset* to computed and
+			// faking a content-box to get border and padding (gh-3699)
+			if ( isBorderBox && scrollboxSizeBuggy ) {
+				subtract -= Math.ceil(
+					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
+					parseFloat( styles[ dimension ] ) -
+					boxModelAdjustment( elem, dimension, "border", false, styles ) -
+					0.5
+				);
+			}
+
+			// Convert to pixels if value adjustment is needed
+			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
+				( matches[ 3 ] || "px" ) !== "px" ) {
+
+				elem.style[ dimension ] = value;
+				value = jQuery.css( elem, dimension );
+			}
+
+			return setPositiveNumber( elem, value, subtract );
+		}
+	};
+} );
+
+jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
+	function( elem, computed ) {
+		if ( computed ) {
+			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
+				elem.getBoundingClientRect().left -
+					swap( elem, { marginLeft: 0 }, function() {
+						return elem.getBoundingClientRect().left;
+					} )
+			) + "px";
+		}
+	}
+);
+
+// These hooks are used by animate to expand properties
+jQuery.each( {
+	margin: "",
+	padding: "",
+	border: "Width"
+}, function( prefix, suffix ) {
+	jQuery.cssHooks[ prefix + suffix ] = {
+		expand: function( value ) {
+			var i = 0,
+				expanded = {},
+
+				// Assumes a single number if not a string
+				parts = typeof value === "string" ? value.split( " " ) : [ value ];
+
+			for ( ; i < 4; i++ ) {
+				expanded[ prefix + cssExpand[ i ] + suffix ] =
+					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
+			}
+
+			return expanded;
+		}
+	};
+
+	if ( prefix !== "margin" ) {
+		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
+	}
+} );
+
+jQuery.fn.extend( {
+	css: function( name, value ) {
+		return access( this, function( elem, name, value ) {
+			var styles, len,
+				map = {},
+				i = 0;
+
+			if ( Array.isArray( name ) ) {
+				styles = getStyles( elem );
+				len = name.length;
+
+				for ( ; i < len; i++ ) {
+					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
+				}
+
+				return map;
+			}
+
+			return value !== undefined ?
+				jQuery.style( elem, name, value ) :
+				jQuery.css( elem, name );
+		}, name, value, arguments.length > 1 );
+	}
+} );
+
+
+function Tween( elem, options, prop, end, easing ) {
+	return new Tween.prototype.init( elem, options, prop, end, easing );
+}
+jQuery.Tween = Tween;
+
+Tween.prototype = {
+	constructor: Tween,
+	init: function( elem, options, prop, end, easing, unit ) {
+		this.elem = elem;
+		this.prop = prop;
+		this.easing = easing || jQuery.easing._default;
+		this.options = options;
+		this.start = this.now = this.cur();
+		this.end = end;
+		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
+	},
+	cur: function() {
+		var hooks = Tween.propHooks[ this.prop ];
+
+		return hooks && hooks.get ?
+			hooks.get( this ) :
+			Tween.propHooks._default.get( this );
+	},
+	run: function( percent ) {
+		var eased,
+			hooks = Tween.propHooks[ this.prop ];
+
+		if ( this.options.duration ) {
+			this.pos = eased = jQuery.easing[ this.easing ](
+				percent, this.options.duration * percent, 0, 1, this.options.duration
+			);
+		} else {
+			this.pos = eased = percent;
+		}
+		this.now = ( this.end - this.start ) * eased + this.start;
+
+		if ( this.options.step ) {
+			this.options.step.call( this.elem, this.now, this );
+		}
+
+		if ( hooks && hooks.set ) {
+			hooks.set( this );
+		} else {
+			Tween.propHooks._default.set( this );
+		}
+		return this;
+	}
+};
+
+Tween.prototype.init.prototype = Tween.prototype;
+
+Tween.propHooks = {
+	_default: {
+		get: function( tween ) {
+			var result;
+
+			// Use a property on the element directly when it is not a DOM element,
+			// or when there is no matching style property that exists.
+			if ( tween.elem.nodeType !== 1 ||
+				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
+				return tween.elem[ tween.prop ];
+			}
+
+			// Passing an empty string as a 3rd parameter to .css will automatically
+			// attempt a parseFloat and fallback to a string if the parse fails.
+			// Simple values such as "10px" are parsed to Float;
+			// complex values such as "rotate(1rad)" are returned as-is.
+			result = jQuery.css( tween.elem, tween.prop, "" );
+
+			// Empty strings, null, undefined and "auto" are converted to 0.
+			return !result || result === "auto" ? 0 : result;
+		},
+		set: function( tween ) {
+
+			// Use step hook for back compat.
+			// Use cssHook if its there.
+			// Use .style if available and use plain properties where available.
+			if ( jQuery.fx.step[ tween.prop ] ) {
+				jQuery.fx.step[ tween.prop ]( tween );
+			} else if ( tween.elem.nodeType === 1 && (
+				jQuery.cssHooks[ tween.prop ] ||
+					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
+				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
+			} else {
+				tween.elem[ tween.prop ] = tween.now;
+			}
+		}
+	}
+};
+
+// Support: IE <=9 only
+// Panic based approach to setting things on disconnected nodes
+Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
+	set: function( tween ) {
+		if ( tween.elem.nodeType && tween.elem.parentNode ) {
+			tween.elem[ tween.prop ] = tween.now;
+		}
+	}
+};
+
+jQuery.easing = {
+	linear: function( p ) {
+		return p;
+	},
+	swing: function( p ) {
+		return 0.5 - Math.cos( p * Math.PI ) / 2;
+	},
+	_default: "swing"
+};
+
+jQuery.fx = Tween.prototype.init;
+
+// Back compat <1.8 extension point
+jQuery.fx.step = {};
+
+
+
+
+var
+	fxNow, inProgress,
+	rfxtypes = /^(?:toggle|show|hide)$/,
+	rrun = /queueHooks$/;
+
+function schedule() {
+	if ( inProgress ) {
+		if ( document.hidden === false && window.requestAnimationFrame ) {
+			window.requestAnimationFrame( schedule );
+		} else {
+			window.setTimeout( schedule, jQuery.fx.interval );
+		}
+
+		jQuery.fx.tick();
+	}
+}
+
+// Animations created synchronously will run synchronously
+function createFxNow() {
+	window.setTimeout( function() {
+		fxNow = undefined;
+	} );
+	return ( fxNow = Date.now() );
+}
+
+// Generate parameters to create a standard animation
+function genFx( type, includeWidth ) {
+	var which,
+		i = 0,
+		attrs = { height: type };
+
+	// If we include width, step value is 1 to do all cssExpand values,
+	// otherwise step value is 2 to skip over Left and Right
+	includeWidth = includeWidth ? 1 : 0;
+	for ( ; i < 4; i += 2 - includeWidth ) {
+		which = cssExpand[ i ];
+		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
+	}
+
+	if ( includeWidth ) {
+		attrs.opacity = attrs.width = type;
+	}
+
+	return attrs;
+}
+
+function createTween( value, prop, animation ) {
+	var tween,
+		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
+		index = 0,
+		length = collection.length;
+	for ( ; index < length; index++ ) {
+		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
+
+			// We're done with this property
+			return tween;
+		}
+	}
+}
+
+function defaultPrefilter( elem, props, opts ) {
+	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
+		isBox = "width" in props || "height" in props,
+		anim = this,
+		orig = {},
+		style = elem.style,
+		hidden = elem.nodeType && isHiddenWithinTree( elem ),
+		dataShow = dataPriv.get( elem, "fxshow" );
+
+	// Queue-skipping animations hijack the fx hooks
+	if ( !opts.queue ) {
+		hooks = jQuery._queueHooks( elem, "fx" );
+		if ( hooks.unqueued == null ) {
+			hooks.unqueued = 0;
+			oldfire = hooks.empty.fire;
+			hooks.empty.fire = function() {
+				if ( !hooks.unqueued ) {
+					oldfire();
+				}
+			};
+		}
+		hooks.unqueued++;
+
+		anim.always( function() {
+
+			// Ensure the complete handler is called before this completes
+			anim.always( function() {
+				hooks.unqueued--;
+				if ( !jQuery.queue( elem, "fx" ).length ) {
+					hooks.empty.fire();
+				}
+			} );
+		} );
+	}
+
+	// Detect show/hide animations
+	for ( prop in props ) {
+		value = props[ prop ];
+		if ( rfxtypes.test( value ) ) {
+			delete props[ prop ];
+			toggle = toggle || value === "toggle";
+			if ( value === ( hidden ? "hide" : "show" ) ) {
+
+				// Pretend to be hidden if this is a "show" and
+				// there is still data from a stopped show/hide
+				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
+					hidden = true;
+
+				// Ignore all other no-op show/hide data
+				} else {
+					continue;
+				}
+			}
+			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
+		}
+	}
+
+	// Bail out if this is a no-op like .hide().hide()
+	propTween = !jQuery.isEmptyObject( props );
+	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
+		return;
+	}
+
+	// Restrict "overflow" and "display" styles during box animations
+	if ( isBox && elem.nodeType === 1 ) {
+
+		// Support: IE <=9 - 11, Edge 12 - 15
+		// Record all 3 overflow attributes because IE does not infer the shorthand
+		// from identically-valued overflowX and overflowY and Edge just mirrors
+		// the overflowX value there.
+		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
+
+		// Identify a display type, preferring old show/hide data over the CSS cascade
+		restoreDisplay = dataShow && dataShow.display;
+		if ( restoreDisplay == null ) {
+			restoreDisplay = dataPriv.get( elem, "display" );
+		}
+		display = jQuery.css( elem, "display" );
+		if ( display === "none" ) {
+			if ( restoreDisplay ) {
+				display = restoreDisplay;
+			} else {
+
+				// Get nonempty value(s) by temporarily forcing visibility
+				showHide( [ elem ], true );
+				restoreDisplay = elem.style.display || restoreDisplay;
+				display = jQuery.css( elem, "display" );
+				showHide( [ elem ] );
+			}
+		}
+
+		// Animate inline elements as inline-block
+		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
+			if ( jQuery.css( elem, "float" ) === "none" ) {
+
+				// Restore the original display value at the end of pure show/hide animations
+				if ( !propTween ) {
+					anim.done( function() {
+						style.display = restoreDisplay;
+					} );
+					if ( restoreDisplay == null ) {
+						display = style.display;
+						restoreDisplay = display === "none" ? "" : display;
+					}
+				}
+				style.display = "inline-block";
+			}
+		}
+	}
+
+	if ( opts.overflow ) {
+		style.overflow = "hidden";
+		anim.always( function() {
+			style.overflow = opts.overflow[ 0 ];
+			style.overflowX = opts.overflow[ 1 ];
+			style.overflowY = opts.overflow[ 2 ];
+		} );
+	}
+
+	// Implement show/hide animations
+	propTween = false;
+	for ( prop in orig ) {
+
+		// General show/hide setup for this element animation
+		if ( !propTween ) {
+			if ( dataShow ) {
+				if ( "hidden" in dataShow ) {
+					hidden = dataShow.hidden;
+				}
+			} else {
+				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
+			}
+
+			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
+			if ( toggle ) {
+				dataShow.hidden = !hidden;
+			}
+
+			// Show elements before animating them
+			if ( hidden ) {
+				showHide( [ elem ], true );
+			}
+
+			/* eslint-disable no-loop-func */
+
+			anim.done( function() {
+
+				/* eslint-enable no-loop-func */
+
+				// The final step of a "hide" animation is actually hiding the element
+				if ( !hidden ) {
+					showHide( [ elem ] );
+				}
+				dataPriv.remove( elem, "fxshow" );
+				for ( prop in orig ) {
+					jQuery.style( elem, prop, orig[ prop ] );
+				}
+			} );
+		}
+
+		// Per-property setup
+		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
+		if ( !( prop in dataShow ) ) {
+			dataShow[ prop ] = propTween.start;
+			if ( hidden ) {
+				propTween.end = propTween.start;
+				propTween.start = 0;
+			}
+		}
+	}
+}
+
+function propFilter( props, specialEasing ) {
+	var index, name, easing, value, hooks;
+
+	// camelCase, specialEasing and expand cssHook pass
+	for ( index in props ) {
+		name = camelCase( index );
+		easing = specialEasing[ name ];
+		value = props[ index ];
+		if ( Array.isArray( value ) ) {
+			easing = value[ 1 ];
+			value = props[ index ] = value[ 0 ];
+		}
+
+		if ( index !== name ) {
+			props[ name ] = value;
+			delete props[ index ];
+		}
+
+		hooks = jQuery.cssHooks[ name ];
+		if ( hooks && "expand" in hooks ) {
+			value = hooks.expand( value );
+			delete props[ name ];
+
+			// Not quite $.extend, this won't overwrite existing keys.
+			// Reusing 'index' because we have the correct "name"
+			for ( index in value ) {
+				if ( !( index in props ) ) {
+					props[ index ] = value[ index ];
+					specialEasing[ index ] = easing;
+				}
+			}
+		} else {
+			specialEasing[ name ] = easing;
+		}
+	}
+}
+
+function Animation( elem, properties, options ) {
+	var result,
+		stopped,
+		index = 0,
+		length = Animation.prefilters.length,
+		deferred = jQuery.Deferred().always( function() {
+
+			// Don't match elem in the :animated selector
+			delete tick.elem;
+		} ),
+		tick = function() {
+			if ( stopped ) {
+				return false;
+			}
+			var currentTime = fxNow || createFxNow(),
+				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
+
+				// Support: Android 2.3 only
+				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
+				temp = remaining / animation.duration || 0,
+				percent = 1 - temp,
+				index = 0,
+				length = animation.tweens.length;
+
+			for ( ; index < length; index++ ) {
+				animation.tweens[ index ].run( percent );
+			}
+
+			deferred.notifyWith( elem, [ animation, percent, remaining ] );
+
+			// If there's more to do, yield
+			if ( percent < 1 && length ) {
+				return remaining;
+			}
+
+			// If this was an empty animation, synthesize a final progress notification
+			if ( !length ) {
+				deferred.notifyWith( elem, [ animation, 1, 0 ] );
+			}
+
+			// Resolve the animation and report its conclusion
+			deferred.resolveWith( elem, [ animation ] );
+			return false;
+		},
+		animation = deferred.promise( {
+			elem: elem,
+			props: jQuery.extend( {}, properties ),
+			opts: jQuery.extend( true, {
+				specialEasing: {},
+				easing: jQuery.easing._default
+			}, options ),
+			originalProperties: properties,
+			originalOptions: options,
+			startTime: fxNow || createFxNow(),
+			duration: options.duration,
+			tweens: [],
+			createTween: function( prop, end ) {
+				var tween = jQuery.Tween( elem, animation.opts, prop, end,
+					animation.opts.specialEasing[ prop ] || animation.opts.easing );
+				animation.tweens.push( tween );
+				return tween;
+			},
+			stop: function( gotoEnd ) {
+				var index = 0,
+
+					// If we are going to the end, we want to run all the tweens
+					// otherwise we skip this part
+					length = gotoEnd ? animation.tweens.length : 0;
+				if ( stopped ) {
+					return this;
+				}
+				stopped = true;
+				for ( ; index < length; index++ ) {
+					animation.tweens[ index ].run( 1 );
+				}
+
+				// Resolve when we played the last frame; otherwise, reject
+				if ( gotoEnd ) {
+					deferred.notifyWith( elem, [ animation, 1, 0 ] );
+					deferred.resolveWith( elem, [ animation, gotoEnd ] );
+				} else {
+					deferred.rejectWith( elem, [ animation, gotoEnd ] );
+				}
+				return this;
+			}
+		} ),
+		props = animation.props;
+
+	propFilter( props, animation.opts.specialEasing );
+
+	for ( ; index < length; index++ ) {
+		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
+		if ( result ) {
+			if ( isFunction( result.stop ) ) {
+				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
+					result.stop.bind( result );
+			}
+			return result;
+		}
+	}
+
+	jQuery.map( props, createTween, animation );
+
+	if ( isFunction( animation.opts.start ) ) {
+		animation.opts.start.call( elem, animation );
+	}
+
+	// Attach callbacks from options
+	animation
+		.progress( animation.opts.progress )
+		.done( animation.opts.done, animation.opts.complete )
+		.fail( animation.opts.fail )
+		.always( animation.opts.always );
+
+	jQuery.fx.timer(
+		jQuery.extend( tick, {
+			elem: elem,
+			anim: animation,
+			queue: animation.opts.queue
+		} )
+	);
+
+	return animation;
+}
+
+jQuery.Animation = jQuery.extend( Animation, {
+
+	tweeners: {
+		"*": [ function( prop, value ) {
+			var tween = this.createTween( prop, value );
+			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
+			return tween;
+		} ]
+	},
+
+	tweener: function( props, callback ) {
+		if ( isFunction( props ) ) {
+			callback = props;
+			props = [ "*" ];
+		} else {
+			props = props.match( rnothtmlwhite );
+		}
+
+		var prop,
+			index = 0,
+			length = props.length;
+
+		for ( ; index < length; index++ ) {
+			prop = props[ index ];
+			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
+			Animation.tweeners[ prop ].unshift( callback );
+		}
+	},
+
+	prefilters: [ defaultPrefilter ],
+
+	prefilter: function( callback, prepend ) {
+		if ( prepend ) {
+			Animation.prefilters.unshift( callback );
+		} else {
+			Animation.prefilters.push( callback );
+		}
+	}
+} );
+
+jQuery.speed = function( speed, easing, fn ) {
+	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
+		complete: fn || !fn && easing ||
+			isFunction( speed ) && speed,
+		duration: speed,
+		easing: fn && easing || easing && !isFunction( easing ) && easing
+	};
+
+	// Go to the end state if fx are off
+	if ( jQuery.fx.off ) {
+		opt.duration = 0;
+
+	} else {
+		if ( typeof opt.duration !== "number" ) {
+			if ( opt.duration in jQuery.fx.speeds ) {
+				opt.duration = jQuery.fx.speeds[ opt.duration ];
+
+			} else {
+				opt.duration = jQuery.fx.speeds._default;
+			}
+		}
+	}
+
+	// Normalize opt.queue - true/undefined/null -> "fx"
+	if ( opt.queue == null || opt.queue === true ) {
+		opt.queue = "fx";
+	}
+
+	// Queueing
+	opt.old = opt.complete;
+
+	opt.complete = function() {
+		if ( isFunction( opt.old ) ) {
+			opt.old.call( this );
+		}
+
+		if ( opt.queue ) {
+			jQuery.dequeue( this, opt.queue );
+		}
+	};
+
+	return opt;
+};
+
+jQuery.fn.extend( {
+	fadeTo: function( speed, to, easing, callback ) {
+
+		// Show any hidden elements after setting opacity to 0
+		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
+
+			// Animate to the value specified
+			.end().animate( { opacity: to }, speed, easing, callback );
+	},
+	animate: function( prop, speed, easing, callback ) {
+		var empty = jQuery.isEmptyObject( prop ),
+			optall = jQuery.speed( speed, easing, callback ),
+			doAnimation = function() {
+
+				// Operate on a copy of prop so per-property easing won't be lost
+				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
+
+				// Empty animations, or finishing resolves immediately
+				if ( empty || dataPriv.get( this, "finish" ) ) {
+					anim.stop( true );
+				}
+			};
+
+		doAnimation.finish = doAnimation;
+
+		return empty || optall.queue === false ?
+			this.each( doAnimation ) :
+			this.queue( optall.queue, doAnimation );
+	},
+	stop: function( type, clearQueue, gotoEnd ) {
+		var stopQueue = function( hooks ) {
+			var stop = hooks.stop;
+			delete hooks.stop;
+			stop( gotoEnd );
+		};
+
+		if ( typeof type !== "string" ) {
+			gotoEnd = clearQueue;
+			clearQueue = type;
+			type = undefined;
+		}
+		if ( clearQueue ) {
+			this.queue( type || "fx", [] );
+		}
+
+		return this.each( function() {
+			var dequeue = true,
+				index = type != null && type + "queueHooks",
+				timers = jQuery.timers,
+				data = dataPriv.get( this );
+
+			if ( index ) {
+				if ( data[ index ] && data[ index ].stop ) {
+					stopQueue( data[ index ] );
+				}
+			} else {
+				for ( index in data ) {
+					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
+						stopQueue( data[ index ] );
+					}
+				}
+			}
+
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this &&
+					( type == null || timers[ index ].queue === type ) ) {
+
+					timers[ index ].anim.stop( gotoEnd );
+					dequeue = false;
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Start the next in the queue if the last step wasn't forced.
+			// Timers currently will call their complete callbacks, which
+			// will dequeue but only if they were gotoEnd.
+			if ( dequeue || !gotoEnd ) {
+				jQuery.dequeue( this, type );
+			}
+		} );
+	},
+	finish: function( type ) {
+		if ( type !== false ) {
+			type = type || "fx";
+		}
+		return this.each( function() {
+			var index,
+				data = dataPriv.get( this ),
+				queue = data[ type + "queue" ],
+				hooks = data[ type + "queueHooks" ],
+				timers = jQuery.timers,
+				length = queue ? queue.length : 0;
+
+			// Enable finishing flag on private data
+			data.finish = true;
+
+			// Empty the queue first
+			jQuery.queue( this, type, [] );
+
+			if ( hooks && hooks.stop ) {
+				hooks.stop.call( this, true );
+			}
+
+			// Look for any active animations, and finish them
+			for ( index = timers.length; index--; ) {
+				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
+					timers[ index ].anim.stop( true );
+					timers.splice( index, 1 );
+				}
+			}
+
+			// Look for any animations in the old queue and finish them
+			for ( index = 0; index < length; index++ ) {
+				if ( queue[ index ] && queue[ index ].finish ) {
+					queue[ index ].finish.call( this );
+				}
+			}
+
+			// Turn off finishing flag
+			delete data.finish;
+		} );
+	}
+} );
+
+jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
+	var cssFn = jQuery.fn[ name ];
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return speed == null || typeof speed === "boolean" ?
+			cssFn.apply( this, arguments ) :
+			this.animate( genFx( name, true ), speed, easing, callback );
+	};
+} );
+
+// Generate shortcuts for custom animations
+jQuery.each( {
+	slideDown: genFx( "show" ),
+	slideUp: genFx( "hide" ),
+	slideToggle: genFx( "toggle" ),
+	fadeIn: { opacity: "show" },
+	fadeOut: { opacity: "hide" },
+	fadeToggle: { opacity: "toggle" }
+}, function( name, props ) {
+	jQuery.fn[ name ] = function( speed, easing, callback ) {
+		return this.animate( props, speed, easing, callback );
+	};
+} );
+
+jQuery.timers = [];
+jQuery.fx.tick = function() {
+	var timer,
+		i = 0,
+		timers = jQuery.timers;
+
+	fxNow = Date.now();
+
+	for ( ; i < timers.length; i++ ) {
+		timer = timers[ i ];
+
+		// Run the timer and safely remove it when done (allowing for external removal)
+		if ( !timer() && timers[ i ] === timer ) {
+			timers.splice( i--, 1 );
+		}
+	}
+
+	if ( !timers.length ) {
+		jQuery.fx.stop();
+	}
+	fxNow = undefined;
+};
+
+jQuery.fx.timer = function( timer ) {
+	jQuery.timers.push( timer );
+	jQuery.fx.start();
+};
+
+jQuery.fx.interval = 13;
+jQuery.fx.start = function() {
+	if ( inProgress ) {
+		return;
+	}
+
+	inProgress = true;
+	schedule();
+};
+
+jQuery.fx.stop = function() {
+	inProgress = null;
+};
+
+jQuery.fx.speeds = {
+	slow: 600,
+	fast: 200,
+
+	// Default speed
+	_default: 400
+};
+
+
+// Based off of the plugin by Clint Helfers, with permission.
+// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
+jQuery.fn.delay = function( time, type ) {
+	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
+	type = type || "fx";
+
+	return this.queue( type, function( next, hooks ) {
+		var timeout = window.setTimeout( next, time );
+		hooks.stop = function() {
+			window.clearTimeout( timeout );
+		};
+	} );
+};
+
+
+( function() {
+	var input = document.createElement( "input" ),
+		select = document.createElement( "select" ),
+		opt = select.appendChild( document.createElement( "option" ) );
+
+	input.type = "checkbox";
+
+	// Support: Android <=4.3 only
+	// Default value for a checkbox should be "on"
+	support.checkOn = input.value !== "";
+
+	// Support: IE <=11 only
+	// Must access selectedIndex to make default options select
+	support.optSelected = opt.selected;
+
+	// Support: IE <=11 only
+	// An input loses its value after becoming a radio
+	input = document.createElement( "input" );
+	input.value = "t";
+	input.type = "radio";
+	support.radioValue = input.value === "t";
+} )();
+
+
+var boolHook,
+	attrHandle = jQuery.expr.attrHandle;
+
+jQuery.fn.extend( {
+	attr: function( name, value ) {
+		return access( this, jQuery.attr, name, value, arguments.length > 1 );
+	},
+
+	removeAttr: function( name ) {
+		return this.each( function() {
+			jQuery.removeAttr( this, name );
+		} );
+	}
+} );
+
+jQuery.extend( {
+	attr: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set attributes on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		// Fallback to prop when attributes are not supported
+		if ( typeof elem.getAttribute === "undefined" ) {
+			return jQuery.prop( elem, name, value );
+		}
+
+		// Attribute hooks are determined by the lowercase version
+		// Grab necessary hook if one is defined
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
+				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
+		}
+
+		if ( value !== undefined ) {
+			if ( value === null ) {
+				jQuery.removeAttr( elem, name );
+				return;
+			}
+
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			elem.setAttribute( name, value + "" );
+			return value;
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		ret = jQuery.find.attr( elem, name );
+
+		// Non-existent attributes return null, we normalize to undefined
+		return ret == null ? undefined : ret;
+	},
+
+	attrHooks: {
+		type: {
+			set: function( elem, value ) {
+				if ( !support.radioValue && value === "radio" &&
+					nodeName( elem, "input" ) ) {
+					var val = elem.value;
+					elem.setAttribute( "type", value );
+					if ( val ) {
+						elem.value = val;
+					}
+					return value;
+				}
+			}
+		}
+	},
+
+	removeAttr: function( elem, value ) {
+		var name,
+			i = 0,
+
+			// Attribute names can contain non-HTML whitespace characters
+			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
+			attrNames = value && value.match( rnothtmlwhite );
+
+		if ( attrNames && elem.nodeType === 1 ) {
+			while ( ( name = attrNames[ i++ ] ) ) {
+				elem.removeAttribute( name );
+			}
+		}
+	}
+} );
+
+// Hooks for boolean attributes
+boolHook = {
+	set: function( elem, value, name ) {
+		if ( value === false ) {
+
+			// Remove boolean attributes when set to false
+			jQuery.removeAttr( elem, name );
+		} else {
+			elem.setAttribute( name, name );
+		}
+		return name;
+	}
+};
+
+jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
+	var getter = attrHandle[ name ] || jQuery.find.attr;
+
+	attrHandle[ name ] = function( elem, name, isXML ) {
+		var ret, handle,
+			lowercaseName = name.toLowerCase();
+
+		if ( !isXML ) {
+
+			// Avoid an infinite loop by temporarily removing this function from the getter
+			handle = attrHandle[ lowercaseName ];
+			attrHandle[ lowercaseName ] = ret;
+			ret = getter( elem, name, isXML ) != null ?
+				lowercaseName :
+				null;
+			attrHandle[ lowercaseName ] = handle;
+		}
+		return ret;
+	};
+} );
+
+
+
+
+var rfocusable = /^(?:input|select|textarea|button)$/i,
+	rclickable = /^(?:a|area)$/i;
+
+jQuery.fn.extend( {
+	prop: function( name, value ) {
+		return access( this, jQuery.prop, name, value, arguments.length > 1 );
+	},
+
+	removeProp: function( name ) {
+		return this.each( function() {
+			delete this[ jQuery.propFix[ name ] || name ];
+		} );
+	}
+} );
+
+jQuery.extend( {
+	prop: function( elem, name, value ) {
+		var ret, hooks,
+			nType = elem.nodeType;
+
+		// Don't get/set properties on text, comment and attribute nodes
+		if ( nType === 3 || nType === 8 || nType === 2 ) {
+			return;
+		}
+
+		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
+
+			// Fix name and attach hooks
+			name = jQuery.propFix[ name ] || name;
+			hooks = jQuery.propHooks[ name ];
+		}
+
+		if ( value !== undefined ) {
+			if ( hooks && "set" in hooks &&
+				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
+				return ret;
+			}
+
+			return ( elem[ name ] = value );
+		}
+
+		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
+			return ret;
+		}
+
+		return elem[ name ];
+	},
+
+	propHooks: {
+		tabIndex: {
+			get: function( elem ) {
+
+				// Support: IE <=9 - 11 only
+				// elem.tabIndex doesn't always return the
+				// correct value when it hasn't been explicitly set
+				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
+				// Use proper attribute retrieval(#12072)
+				var tabindex = jQuery.find.attr( elem, "tabindex" );
+
+				if ( tabindex ) {
+					return parseInt( tabindex, 10 );
+				}
+
+				if (
+					rfocusable.test( elem.nodeName ) ||
+					rclickable.test( elem.nodeName ) &&
+					elem.href
+				) {
+					return 0;
+				}
+
+				return -1;
+			}
+		}
+	},
+
+	propFix: {
+		"for": "htmlFor",
+		"class": "className"
+	}
+} );
+
+// Support: IE <=11 only
+// Accessing the selectedIndex property
+// forces the browser to respect setting selected
+// on the option
+// The getter ensures a default option is selected
+// when in an optgroup
+// eslint rule "no-unused-expressions" is disabled for this code
+// since it considers such accessions noop
+if ( !support.optSelected ) {
+	jQuery.propHooks.selected = {
+		get: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent && parent.parentNode ) {
+				parent.parentNode.selectedIndex;
+			}
+			return null;
+		},
+		set: function( elem ) {
+
+			/* eslint no-unused-expressions: "off" */
+
+			var parent = elem.parentNode;
+			if ( parent ) {
+				parent.selectedIndex;
+
+				if ( parent.parentNode ) {
+					parent.parentNode.selectedIndex;
+				}
+			}
+		}
+	};
+}
+
+jQuery.each( [
+	"tabIndex",
+	"readOnly",
+	"maxLength",
+	"cellSpacing",
+	"cellPadding",
+	"rowSpan",
+	"colSpan",
+	"useMap",
+	"frameBorder",
+	"contentEditable"
+], function() {
+	jQuery.propFix[ this.toLowerCase() ] = this;
+} );
+
+
+
+
+	// Strip and collapse whitespace according to HTML spec
+	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
+	function stripAndCollapse( value ) {
+		var tokens = value.match( rnothtmlwhite ) || [];
+		return tokens.join( " " );
+	}
+
+
+function getClass( elem ) {
+	return elem.getAttribute && elem.getAttribute( "class" ) || "";
+}
+
+function classesToArray( value ) {
+	if ( Array.isArray( value ) ) {
+		return value;
+	}
+	if ( typeof value === "string" ) {
+		return value.match( rnothtmlwhite ) || [];
+	}
+	return [];
+}
+
+jQuery.fn.extend( {
+	addClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
+							cur += clazz + " ";
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	removeClass: function( value ) {
+		var classes, elem, cur, curValue, clazz, j, finalValue,
+			i = 0;
+
+		if ( isFunction( value ) ) {
+			return this.each( function( j ) {
+				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
+			} );
+		}
+
+		if ( !arguments.length ) {
+			return this.attr( "class", "" );
+		}
+
+		classes = classesToArray( value );
+
+		if ( classes.length ) {
+			while ( ( elem = this[ i++ ] ) ) {
+				curValue = getClass( elem );
+
+				// This expression is here for better compressibility (see addClass)
+				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
+
+				if ( cur ) {
+					j = 0;
+					while ( ( clazz = classes[ j++ ] ) ) {
+
+						// Remove *all* instances
+						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
+							cur = cur.replace( " " + clazz + " ", " " );
+						}
+					}
+
+					// Only assign if different to avoid unneeded rendering.
+					finalValue = stripAndCollapse( cur );
+					if ( curValue !== finalValue ) {
+						elem.setAttribute( "class", finalValue );
+					}
+				}
+			}
+		}
+
+		return this;
+	},
+
+	toggleClass: function( value, stateVal ) {
+		var type = typeof value,
+			isValidValue = type === "string" || Array.isArray( value );
+
+		if ( typeof stateVal === "boolean" && isValidValue ) {
+			return stateVal ? this.addClass( value ) : this.removeClass( value );
+		}
+
+		if ( isFunction( value ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).toggleClass(
+					value.call( this, i, getClass( this ), stateVal ),
+					stateVal
+				);
+			} );
+		}
+
+		return this.each( function() {
+			var className, i, self, classNames;
+
+			if ( isValidValue ) {
+
+				// Toggle individual class names
+				i = 0;
+				self = jQuery( this );
+				classNames = classesToArray( value );
+
+				while ( ( className = classNames[ i++ ] ) ) {
+
+					// Check each className given, space separated list
+					if ( self.hasClass( className ) ) {
+						self.removeClass( className );
+					} else {
+						self.addClass( className );
+					}
+				}
+
+			// Toggle whole class name
+			} else if ( value === undefined || type === "boolean" ) {
+				className = getClass( this );
+				if ( className ) {
+
+					// Store className if set
+					dataPriv.set( this, "__className__", className );
+				}
+
+				// If the element has a class name or if we're passed `false`,
+				// then remove the whole classname (if there was one, the above saved it).
+				// Otherwise bring back whatever was previously saved (if anything),
+				// falling back to the empty string if nothing was stored.
+				if ( this.setAttribute ) {
+					this.setAttribute( "class",
+						className || value === false ?
+							"" :
+							dataPriv.get( this, "__className__" ) || ""
+					);
+				}
+			}
+		} );
+	},
+
+	hasClass: function( selector ) {
+		var className, elem,
+			i = 0;
+
+		className = " " + selector + " ";
+		while ( ( elem = this[ i++ ] ) ) {
+			if ( elem.nodeType === 1 &&
+				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
+				return true;
+			}
+		}
+
+		return false;
+	}
+} );
+
+
+
+
+var rreturn = /\r/g;
+
+jQuery.fn.extend( {
+	val: function( value ) {
+		var hooks, ret, valueIsFunction,
+			elem = this[ 0 ];
+
+		if ( !arguments.length ) {
+			if ( elem ) {
+				hooks = jQuery.valHooks[ elem.type ] ||
+					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
+
+				if ( hooks &&
+					"get" in hooks &&
+					( ret = hooks.get( elem, "value" ) ) !== undefined
+				) {
+					return ret;
+				}
+
+				ret = elem.value;
+
+				// Handle most common string cases
+				if ( typeof ret === "string" ) {
+					return ret.replace( rreturn, "" );
+				}
+
+				// Handle cases where value is null/undef or number
+				return ret == null ? "" : ret;
+			}
+
+			return;
+		}
+
+		valueIsFunction = isFunction( value );
+
+		return this.each( function( i ) {
+			var val;
+
+			if ( this.nodeType !== 1 ) {
+				return;
+			}
+
+			if ( valueIsFunction ) {
+				val = value.call( this, i, jQuery( this ).val() );
+			} else {
+				val = value;
+			}
+
+			// Treat null/undefined as ""; convert numbers to string
+			if ( val == null ) {
+				val = "";
+
+			} else if ( typeof val === "number" ) {
+				val += "";
+
+			} else if ( Array.isArray( val ) ) {
+				val = jQuery.map( val, function( value ) {
+					return value == null ? "" : value + "";
+				} );
+			}
+
+			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
+
+			// If set returns undefined, fall back to normal setting
+			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
+				this.value = val;
+			}
+		} );
+	}
+} );
+
+jQuery.extend( {
+	valHooks: {
+		option: {
+			get: function( elem ) {
+
+				var val = jQuery.find.attr( elem, "value" );
+				return val != null ?
+					val :
+
+					// Support: IE <=10 - 11 only
+					// option.text throws exceptions (#14686, #14858)
+					// Strip and collapse whitespace
+					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
+					stripAndCollapse( jQuery.text( elem ) );
+			}
+		},
+		select: {
+			get: function( elem ) {
+				var value, option, i,
+					options = elem.options,
+					index = elem.selectedIndex,
+					one = elem.type === "select-one",
+					values = one ? null : [],
+					max = one ? index + 1 : options.length;
+
+				if ( index < 0 ) {
+					i = max;
+
+				} else {
+					i = one ? index : 0;
+				}
+
+				// Loop through all the selected options
+				for ( ; i < max; i++ ) {
+					option = options[ i ];
+
+					// Support: IE <=9 only
+					// IE8-9 doesn't update selected after form reset (#2551)
+					if ( ( option.selected || i === index ) &&
+
+							// Don't return options that are disabled or in a disabled optgroup
+							!option.disabled &&
+							( !option.parentNode.disabled ||
+								!nodeName( option.parentNode, "optgroup" ) ) ) {
+
+						// Get the specific value for the option
+						value = jQuery( option ).val();
+
+						// We don't need an array for one selects
+						if ( one ) {
+							return value;
+						}
+
+						// Multi-Selects return an array
+						values.push( value );
+					}
+				}
+
+				return values;
+			},
+
+			set: function( elem, value ) {
+				var optionSet, option,
+					options = elem.options,
+					values = jQuery.makeArray( value ),
+					i = options.length;
+
+				while ( i-- ) {
+					option = options[ i ];
+
+					/* eslint-disable no-cond-assign */
+
+					if ( option.selected =
+						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
+					) {
+						optionSet = true;
+					}
+
+					/* eslint-enable no-cond-assign */
+				}
+
+				// Force browsers to behave consistently when non-matching value is set
+				if ( !optionSet ) {
+					elem.selectedIndex = -1;
+				}
+				return values;
+			}
+		}
+	}
+} );
+
+// Radios and checkboxes getter/setter
+jQuery.each( [ "radio", "checkbox" ], function() {
+	jQuery.valHooks[ this ] = {
+		set: function( elem, value ) {
+			if ( Array.isArray( value ) ) {
+				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
+			}
+		}
+	};
+	if ( !support.checkOn ) {
+		jQuery.valHooks[ this ].get = function( elem ) {
+			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
+		};
+	}
+} );
+
+
+
+
+// Return jQuery for attributes-only inclusion
+
+
+support.focusin = "onfocusin" in window;
+
+
+var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
+	stopPropagationCallback = function( e ) {
+		e.stopPropagation();
+	};
+
+jQuery.extend( jQuery.event, {
+
+	trigger: function( event, data, elem, onlyHandlers ) {
+
+		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
+			eventPath = [ elem || document ],
+			type = hasOwn.call( event, "type" ) ? event.type : event,
+			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
+
+		cur = lastElement = tmp = elem = elem || document;
+
+		// Don't do events on text and comment nodes
+		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
+			return;
+		}
+
+		// focus/blur morphs to focusin/out; ensure we're not firing them right now
+		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
+			return;
+		}
+
+		if ( type.indexOf( "." ) > -1 ) {
+
+			// Namespaced trigger; create a regexp to match event type in handle()
+			namespaces = type.split( "." );
+			type = namespaces.shift();
+			namespaces.sort();
+		}
+		ontype = type.indexOf( ":" ) < 0 && "on" + type;
+
+		// Caller can pass in a jQuery.Event object, Object, or just an event type string
+		event = event[ jQuery.expando ] ?
+			event :
+			new jQuery.Event( type, typeof event === "object" && event );
+
+		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
+		event.isTrigger = onlyHandlers ? 2 : 3;
+		event.namespace = namespaces.join( "." );
+		event.rnamespace = event.namespace ?
+			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
+			null;
+
+		// Clean up the event in case it is being reused
+		event.result = undefined;
+		if ( !event.target ) {
+			event.target = elem;
+		}
+
+		// Clone any incoming data and prepend the event, creating the handler arg list
+		data = data == null ?
+			[ event ] :
+			jQuery.makeArray( data, [ event ] );
+
+		// Allow special events to draw outside the lines
+		special = jQuery.event.special[ type ] || {};
+		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
+			return;
+		}
+
+		// Determine event propagation path in advance, per W3C events spec (#9951)
+		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
+		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
+
+			bubbleType = special.delegateType || type;
+			if ( !rfocusMorph.test( bubbleType + type ) ) {
+				cur = cur.parentNode;
+			}
+			for ( ; cur; cur = cur.parentNode ) {
+				eventPath.push( cur );
+				tmp = cur;
+			}
+
+			// Only add window if we got to document (e.g., not plain obj or detached DOM)
+			if ( tmp === ( elem.ownerDocument || document ) ) {
+				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
+			}
+		}
+
+		// Fire handlers on the event path
+		i = 0;
+		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
+			lastElement = cur;
+			event.type = i > 1 ?
+				bubbleType :
+				special.bindType || type;
+
+			// jQuery handler
+			handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
+				dataPriv.get( cur, "handle" );
+			if ( handle ) {
+				handle.apply( cur, data );
+			}
+
+			// Native handler
+			handle = ontype && cur[ ontype ];
+			if ( handle && handle.apply && acceptData( cur ) ) {
+				event.result = handle.apply( cur, data );
+				if ( event.result === false ) {
+					event.preventDefault();
+				}
+			}
+		}
+		event.type = type;
+
+		// If nobody prevented the default action, do it now
+		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
+
+			if ( ( !special._default ||
+				special._default.apply( eventPath.pop(), data ) === false ) &&
+				acceptData( elem ) ) {
+
+				// Call a native DOM method on the target with the same name as the event.
+				// Don't do default actions on window, that's where global variables be (#6170)
+				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
+
+					// Don't re-trigger an onFOO event when we call its FOO() method
+					tmp = elem[ ontype ];
+
+					if ( tmp ) {
+						elem[ ontype ] = null;
+					}
+
+					// Prevent re-triggering of the same event, since we already bubbled it above
+					jQuery.event.triggered = type;
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.addEventListener( type, stopPropagationCallback );
+					}
+
+					elem[ type ]();
+
+					if ( event.isPropagationStopped() ) {
+						lastElement.removeEventListener( type, stopPropagationCallback );
+					}
+
+					jQuery.event.triggered = undefined;
+
+					if ( tmp ) {
+						elem[ ontype ] = tmp;
+					}
+				}
+			}
+		}
+
+		return event.result;
+	},
+
+	// Piggyback on a donor event to simulate a different one
+	// Used only for `focus(in | out)` events
+	simulate: function( type, elem, event ) {
+		var e = jQuery.extend(
+			new jQuery.Event(),
+			event,
+			{
+				type: type,
+				isSimulated: true
+			}
+		);
+
+		jQuery.event.trigger( e, null, elem );
+	}
+
+} );
+
+jQuery.fn.extend( {
+
+	trigger: function( type, data ) {
+		return this.each( function() {
+			jQuery.event.trigger( type, data, this );
+		} );
+	},
+	triggerHandler: function( type, data ) {
+		var elem = this[ 0 ];
+		if ( elem ) {
+			return jQuery.event.trigger( type, data, elem, true );
+		}
+	}
+} );
+
+
+// Support: Firefox <=44
+// Firefox doesn't have focus(in | out) events
+// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
+//
+// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
+// focus(in | out) events fire after focus & blur events,
+// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
+// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
+if ( !support.focusin ) {
+	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
+
+		// Attach a single capturing handler on the document while someone wants focusin/focusout
+		var handler = function( event ) {
+			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
+		};
+
+		jQuery.event.special[ fix ] = {
+			setup: function() {
+
+				// Handle: regular nodes (via `this.ownerDocument`), window
+				// (via `this.document`) & document (via `this`).
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix );
+
+				if ( !attaches ) {
+					doc.addEventListener( orig, handler, true );
+				}
+				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
+			},
+			teardown: function() {
+				var doc = this.ownerDocument || this.document || this,
+					attaches = dataPriv.access( doc, fix ) - 1;
+
+				if ( !attaches ) {
+					doc.removeEventListener( orig, handler, true );
+					dataPriv.remove( doc, fix );
+
+				} else {
+					dataPriv.access( doc, fix, attaches );
+				}
+			}
+		};
+	} );
+}
+var location = window.location;
+
+var nonce = { guid: Date.now() };
+
+var rquery = ( /\?/ );
+
+
+
+// Cross-browser xml parsing
+jQuery.parseXML = function( data ) {
+	var xml, parserErrorElem;
+	if ( !data || typeof data !== "string" ) {
+		return null;
+	}
+
+	// Support: IE 9 - 11 only
+	// IE throws on parseFromString with invalid input.
+	try {
+		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
+	} catch ( e ) {}
+
+	parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
+	if ( !xml || parserErrorElem ) {
+		jQuery.error( "Invalid XML: " + (
+			parserErrorElem ?
+				jQuery.map( parserErrorElem.childNodes, function( el ) {
+					return el.textContent;
+				} ).join( "\n" ) :
+				data
+		) );
+	}
+	return xml;
+};
+
+
+var
+	rbracket = /\[\]$/,
+	rCRLF = /\r?\n/g,
+	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
+	rsubmittable = /^(?:input|select|textarea|keygen)/i;
+
+function buildParams( prefix, obj, traditional, add ) {
+	var name;
+
+	if ( Array.isArray( obj ) ) {
+
+		// Serialize array item.
+		jQuery.each( obj, function( i, v ) {
+			if ( traditional || rbracket.test( prefix ) ) {
+
+				// Treat each array item as a scalar.
+				add( prefix, v );
+
+			} else {
+
+				// Item is non-scalar (array or object), encode its numeric index.
+				buildParams(
+					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
+					v,
+					traditional,
+					add
+				);
+			}
+		} );
+
+	} else if ( !traditional && toType( obj ) === "object" ) {
+
+		// Serialize object item.
+		for ( name in obj ) {
+			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
+		}
+
+	} else {
+
+		// Serialize scalar item.
+		add( prefix, obj );
+	}
+}
+
+// Serialize an array of form elements or a set of
+// key/values into a query string
+jQuery.param = function( a, traditional ) {
+	var prefix,
+		s = [],
+		add = function( key, valueOrFunction ) {
+
+			// If value is a function, invoke it and use its return value
+			var value = isFunction( valueOrFunction ) ?
+				valueOrFunction() :
+				valueOrFunction;
+
+			s[ s.length ] = encodeURIComponent( key ) + "=" +
+				encodeURIComponent( value == null ? "" : value );
+		};
+
+	if ( a == null ) {
+		return "";
+	}
+
+	// If an array was passed in, assume that it is an array of form elements.
+	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
+
+		// Serialize the form elements
+		jQuery.each( a, function() {
+			add( this.name, this.value );
+		} );
+
+	} else {
+
+		// If traditional, encode the "old" way (the way 1.3.2 or older
+		// did it), otherwise encode params recursively.
+		for ( prefix in a ) {
+			buildParams( prefix, a[ prefix ], traditional, add );
+		}
+	}
+
+	// Return the resulting serialization
+	return s.join( "&" );
+};
+
+jQuery.fn.extend( {
+	serialize: function() {
+		return jQuery.param( this.serializeArray() );
+	},
+	serializeArray: function() {
+		return this.map( function() {
+
+			// Can add propHook for "elements" to filter or add form elements
+			var elements = jQuery.prop( this, "elements" );
+			return elements ? jQuery.makeArray( elements ) : this;
+		} ).filter( function() {
+			var type = this.type;
+
+			// Use .is( ":disabled" ) so that fieldset[disabled] works
+			return this.name && !jQuery( this ).is( ":disabled" ) &&
+				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
+				( this.checked || !rcheckableType.test( type ) );
+		} ).map( function( _i, elem ) {
+			var val = jQuery( this ).val();
+
+			if ( val == null ) {
+				return null;
+			}
+
+			if ( Array.isArray( val ) ) {
+				return jQuery.map( val, function( val ) {
+					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+				} );
+			}
+
+			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
+		} ).get();
+	}
+} );
+
+
+var
+	r20 = /%20/g,
+	rhash = /#.*$/,
+	rantiCache = /([?&])_=[^&]*/,
+	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
+
+	// #7653, #8125, #8152: local protocol detection
+	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
+	rnoContent = /^(?:GET|HEAD)$/,
+	rprotocol = /^\/\//,
+
+	/* Prefilters
+	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
+	 * 2) These are called:
+	 *    - BEFORE asking for a transport
+	 *    - AFTER param serialization (s.data is a string if s.processData is true)
+	 * 3) key is the dataType
+	 * 4) the catchall symbol "*" can be used
+	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
+	 */
+	prefilters = {},
+
+	/* Transports bindings
+	 * 1) key is the dataType
+	 * 2) the catchall symbol "*" can be used
+	 * 3) selection will start with transport dataType and THEN go to "*" if needed
+	 */
+	transports = {},
+
+	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
+	allTypes = "*/".concat( "*" ),
+
+	// Anchor tag for parsing the document origin
+	originAnchor = document.createElement( "a" );
+
+originAnchor.href = location.href;
+
+// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
+function addToPrefiltersOrTransports( structure ) {
+
+	// dataTypeExpression is optional and defaults to "*"
+	return function( dataTypeExpression, func ) {
+
+		if ( typeof dataTypeExpression !== "string" ) {
+			func = dataTypeExpression;
+			dataTypeExpression = "*";
+		}
+
+		var dataType,
+			i = 0,
+			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
+
+		if ( isFunction( func ) ) {
+
+			// For each dataType in the dataTypeExpression
+			while ( ( dataType = dataTypes[ i++ ] ) ) {
+
+				// Prepend if requested
+				if ( dataType[ 0 ] === "+" ) {
+					dataType = dataType.slice( 1 ) || "*";
+					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
+
+				// Otherwise append
+				} else {
+					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
+				}
+			}
+		}
+	};
+}
+
+// Base inspection function for prefilters and transports
+function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
+
+	var inspected = {},
+		seekingTransport = ( structure === transports );
+
+	function inspect( dataType ) {
+		var selected;
+		inspected[ dataType ] = true;
+		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
+			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
+			if ( typeof dataTypeOrTransport === "string" &&
+				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
+
+				options.dataTypes.unshift( dataTypeOrTransport );
+				inspect( dataTypeOrTransport );
+				return false;
+			} else if ( seekingTransport ) {
+				return !( selected = dataTypeOrTransport );
+			}
+		} );
+		return selected;
+	}
+
+	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
+}
+
+// A special extend for ajax options
+// that takes "flat" options (not to be deep extended)
+// Fixes #9887
+function ajaxExtend( target, src ) {
+	var key, deep,
+		flatOptions = jQuery.ajaxSettings.flatOptions || {};
+
+	for ( key in src ) {
+		if ( src[ key ] !== undefined ) {
+			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
+		}
+	}
+	if ( deep ) {
+		jQuery.extend( true, target, deep );
+	}
+
+	return target;
+}
+
+/* Handles responses to an ajax request:
+ * - finds the right dataType (mediates between content-type and expected dataType)
+ * - returns the corresponding response
+ */
+function ajaxHandleResponses( s, jqXHR, responses ) {
+
+	var ct, type, finalDataType, firstDataType,
+		contents = s.contents,
+		dataTypes = s.dataTypes;
+
+	// Remove auto dataType and get content-type in the process
+	while ( dataTypes[ 0 ] === "*" ) {
+		dataTypes.shift();
+		if ( ct === undefined ) {
+			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
+		}
+	}
+
+	// Check if we're dealing with a known content-type
+	if ( ct ) {
+		for ( type in contents ) {
+			if ( contents[ type ] && contents[ type ].test( ct ) ) {
+				dataTypes.unshift( type );
+				break;
+			}
+		}
+	}
+
+	// Check to see if we have a response for the expected dataType
+	if ( dataTypes[ 0 ] in responses ) {
+		finalDataType = dataTypes[ 0 ];
+	} else {
+
+		// Try convertible dataTypes
+		for ( type in responses ) {
+			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
+				finalDataType = type;
+				break;
+			}
+			if ( !firstDataType ) {
+				firstDataType = type;
+			}
+		}
+
+		// Or just use first one
+		finalDataType = finalDataType || firstDataType;
+	}
+
+	// If we found a dataType
+	// We add the dataType to the list if needed
+	// and return the corresponding response
+	if ( finalDataType ) {
+		if ( finalDataType !== dataTypes[ 0 ] ) {
+			dataTypes.unshift( finalDataType );
+		}
+		return responses[ finalDataType ];
+	}
+}
+
+/* Chain conversions given the request and the original response
+ * Also sets the responseXXX fields on the jqXHR instance
+ */
+function ajaxConvert( s, response, jqXHR, isSuccess ) {
+	var conv2, current, conv, tmp, prev,
+		converters = {},
+
+		// Work with a copy of dataTypes in case we need to modify it for conversion
+		dataTypes = s.dataTypes.slice();
+
+	// Create converters map with lowercased keys
+	if ( dataTypes[ 1 ] ) {
+		for ( conv in s.converters ) {
+			converters[ conv.toLowerCase() ] = s.converters[ conv ];
+		}
+	}
+
+	current = dataTypes.shift();
+
+	// Convert to each sequential dataType
+	while ( current ) {
+
+		if ( s.responseFields[ current ] ) {
+			jqXHR[ s.responseFields[ current ] ] = response;
+		}
+
+		// Apply the dataFilter if provided
+		if ( !prev && isSuccess && s.dataFilter ) {
+			response = s.dataFilter( response, s.dataType );
+		}
+
+		prev = current;
+		current = dataTypes.shift();
+
+		if ( current ) {
+
+			// There's only work to do if current dataType is non-auto
+			if ( current === "*" ) {
+
+				current = prev;
+
+			// Convert response if prev dataType is non-auto and differs from current
+			} else if ( prev !== "*" && prev !== current ) {
+
+				// Seek a direct converter
+				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
+
+				// If none found, seek a pair
+				if ( !conv ) {
+					for ( conv2 in converters ) {
+
+						// If conv2 outputs current
+						tmp = conv2.split( " " );
+						if ( tmp[ 1 ] === current ) {
+
+							// If prev can be converted to accepted input
+							conv = converters[ prev + " " + tmp[ 0 ] ] ||
+								converters[ "* " + tmp[ 0 ] ];
+							if ( conv ) {
+
+								// Condense equivalence converters
+								if ( conv === true ) {
+									conv = converters[ conv2 ];
+
+								// Otherwise, insert the intermediate dataType
+								} else if ( converters[ conv2 ] !== true ) {
+									current = tmp[ 0 ];
+									dataTypes.unshift( tmp[ 1 ] );
+								}
+								break;
+							}
+						}
+					}
+				}
+
+				// Apply converter (if not an equivalence)
+				if ( conv !== true ) {
+
+					// Unless errors are allowed to bubble, catch and return them
+					if ( conv && s.throws ) {
+						response = conv( response );
+					} else {
+						try {
+							response = conv( response );
+						} catch ( e ) {
+							return {
+								state: "parsererror",
+								error: conv ? e : "No conversion from " + prev + " to " + current
+							};
+						}
+					}
+				}
+			}
+		}
+	}
+
+	return { state: "success", data: response };
+}
+
+jQuery.extend( {
+
+	// Counter for holding the number of active queries
+	active: 0,
+
+	// Last-Modified header cache for next request
+	lastModified: {},
+	etag: {},
+
+	ajaxSettings: {
+		url: location.href,
+		type: "GET",
+		isLocal: rlocalProtocol.test( location.protocol ),
+		global: true,
+		processData: true,
+		async: true,
+		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
+
+		/*
+		timeout: 0,
+		data: null,
+		dataType: null,
+		username: null,
+		password: null,
+		cache: null,
+		throws: false,
+		traditional: false,
+		headers: {},
+		*/
+
+		accepts: {
+			"*": allTypes,
+			text: "text/plain",
+			html: "text/html",
+			xml: "application/xml, text/xml",
+			json: "application/json, text/javascript"
+		},
+
+		contents: {
+			xml: /\bxml\b/,
+			html: /\bhtml/,
+			json: /\bjson\b/
+		},
+
+		responseFields: {
+			xml: "responseXML",
+			text: "responseText",
+			json: "responseJSON"
+		},
+
+		// Data converters
+		// Keys separate source (or catchall "*") and destination types with a single space
+		converters: {
+
+			// Convert anything to text
+			"* text": String,
+
+			// Text to html (true = no transformation)
+			"text html": true,
+
+			// Evaluate text as a json expression
+			"text json": JSON.parse,
+
+			// Parse text as xml
+			"text xml": jQuery.parseXML
+		},
+
+		// For options that shouldn't be deep extended:
+		// you can add your own custom options here if
+		// and when you create one that shouldn't be
+		// deep extended (see ajaxExtend)
+		flatOptions: {
+			url: true,
+			context: true
+		}
+	},
+
+	// Creates a full fledged settings object into target
+	// with both ajaxSettings and settings fields.
+	// If target is omitted, writes into ajaxSettings.
+	ajaxSetup: function( target, settings ) {
+		return settings ?
+
+			// Building a settings object
+			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
+
+			// Extending ajaxSettings
+			ajaxExtend( jQuery.ajaxSettings, target );
+	},
+
+	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
+	ajaxTransport: addToPrefiltersOrTransports( transports ),
+
+	// Main method
+	ajax: function( url, options ) {
+
+		// If url is an object, simulate pre-1.5 signature
+		if ( typeof url === "object" ) {
+			options = url;
+			url = undefined;
+		}
+
+		// Force options to be an object
+		options = options || {};
+
+		var transport,
+
+			// URL without anti-cache param
+			cacheURL,
+
+			// Response headers
+			responseHeadersString,
+			responseHeaders,
+
+			// timeout handle
+			timeoutTimer,
+
+			// Url cleanup var
+			urlAnchor,
+
+			// Request state (becomes false upon send and true upon completion)
+			completed,
+
+			// To know if global events are to be dispatched
+			fireGlobals,
+
+			// Loop variable
+			i,
+
+			// uncached part of the url
+			uncached,
+
+			// Create the final options object
+			s = jQuery.ajaxSetup( {}, options ),
+
+			// Callbacks context
+			callbackContext = s.context || s,
+
+			// Context for global events is callbackContext if it is a DOM node or jQuery collection
+			globalEventContext = s.context &&
+				( callbackContext.nodeType || callbackContext.jquery ) ?
+				jQuery( callbackContext ) :
+				jQuery.event,
+
+			// Deferreds
+			deferred = jQuery.Deferred(),
+			completeDeferred = jQuery.Callbacks( "once memory" ),
+
+			// Status-dependent callbacks
+			statusCode = s.statusCode || {},
+
+			// Headers (they are sent all at once)
+			requestHeaders = {},
+			requestHeadersNames = {},
+
+			// Default abort message
+			strAbort = "canceled",
+
+			// Fake xhr
+			jqXHR = {
+				readyState: 0,
+
+				// Builds headers hashtable if needed
+				getResponseHeader: function( key ) {
+					var match;
+					if ( completed ) {
+						if ( !responseHeaders ) {
+							responseHeaders = {};
+							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
+								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
+									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
+										.concat( match[ 2 ] );
+							}
+						}
+						match = responseHeaders[ key.toLowerCase() + " " ];
+					}
+					return match == null ? null : match.join( ", " );
+				},
+
+				// Raw string
+				getAllResponseHeaders: function() {
+					return completed ? responseHeadersString : null;
+				},
+
+				// Caches the header
+				setRequestHeader: function( name, value ) {
+					if ( completed == null ) {
+						name = requestHeadersNames[ name.toLowerCase() ] =
+							requestHeadersNames[ name.toLowerCase() ] || name;
+						requestHeaders[ name ] = value;
+					}
+					return this;
+				},
+
+				// Overrides response content-type header
+				overrideMimeType: function( type ) {
+					if ( completed == null ) {
+						s.mimeType = type;
+					}
+					return this;
+				},
+
+				// Status-dependent callbacks
+				statusCode: function( map ) {
+					var code;
+					if ( map ) {
+						if ( completed ) {
+
+							// Execute the appropriate callbacks
+							jqXHR.always( map[ jqXHR.status ] );
+						} else {
+
+							// Lazy-add the new callbacks in a way that preserves old ones
+							for ( code in map ) {
+								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
+							}
+						}
+					}
+					return this;
+				},
+
+				// Cancel the request
+				abort: function( statusText ) {
+					var finalText = statusText || strAbort;
+					if ( transport ) {
+						transport.abort( finalText );
+					}
+					done( 0, finalText );
+					return this;
+				}
+			};
+
+		// Attach deferreds
+		deferred.promise( jqXHR );
+
+		// Add protocol if not provided (prefilters might expect it)
+		// Handle falsy url in the settings object (#10093: consistency with old signature)
+		// We also use the url parameter if available
+		s.url = ( ( url || s.url || location.href ) + "" )
+			.replace( rprotocol, location.protocol + "//" );
+
+		// Alias method option to type as per ticket #12004
+		s.type = options.method || options.type || s.method || s.type;
+
+		// Extract dataTypes list
+		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
+
+		// A cross-domain request is in order when the origin doesn't match the current origin.
+		if ( s.crossDomain == null ) {
+			urlAnchor = document.createElement( "a" );
+
+			// Support: IE <=8 - 11, Edge 12 - 15
+			// IE throws exception on accessing the href property if url is malformed,
+			// e.g. http://example.com:80x/
+			try {
+				urlAnchor.href = s.url;
+
+				// Support: IE <=8 - 11 only
+				// Anchor's host property isn't correctly set when s.url is relative
+				urlAnchor.href = urlAnchor.href;
+				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
+					urlAnchor.protocol + "//" + urlAnchor.host;
+			} catch ( e ) {
+
+				// If there is an error parsing the URL, assume it is crossDomain,
+				// it can be rejected by the transport if it is invalid
+				s.crossDomain = true;
+			}
+		}
+
+		// Convert data if not already a string
+		if ( s.data && s.processData && typeof s.data !== "string" ) {
+			s.data = jQuery.param( s.data, s.traditional );
+		}
+
+		// Apply prefilters
+		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
+
+		// If request was aborted inside a prefilter, stop there
+		if ( completed ) {
+			return jqXHR;
+		}
+
+		// We can fire global events as of now if asked to
+		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
+		fireGlobals = jQuery.event && s.global;
+
+		// Watch for a new set of requests
+		if ( fireGlobals && jQuery.active++ === 0 ) {
+			jQuery.event.trigger( "ajaxStart" );
+		}
+
+		// Uppercase the type
+		s.type = s.type.toUpperCase();
+
+		// Determine if request has content
+		s.hasContent = !rnoContent.test( s.type );
+
+		// Save the URL in case we're toying with the If-Modified-Since
+		// and/or If-None-Match header later on
+		// Remove hash to simplify url manipulation
+		cacheURL = s.url.replace( rhash, "" );
+
+		// More options handling for requests with no content
+		if ( !s.hasContent ) {
+
+			// Remember the hash so we can put it back
+			uncached = s.url.slice( cacheURL.length );
+
+			// If data is available and should be processed, append data to url
+			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
+				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
+
+				// #9682: remove data so that it's not used in an eventual retry
+				delete s.data;
+			}
+
+			// Add or update anti-cache param if needed
+			if ( s.cache === false ) {
+				cacheURL = cacheURL.replace( rantiCache, "$1" );
+				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
+					uncached;
+			}
+
+			// Put hash and anti-cache on the URL that will be requested (gh-1732)
+			s.url = cacheURL + uncached;
+
+		// Change '%20' to '+' if this is encoded form body content (gh-2658)
+		} else if ( s.data && s.processData &&
+			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
+			s.data = s.data.replace( r20, "+" );
+		}
+
+		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+		if ( s.ifModified ) {
+			if ( jQuery.lastModified[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
+			}
+			if ( jQuery.etag[ cacheURL ] ) {
+				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
+			}
+		}
+
+		// Set the correct header, if data is being sent
+		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
+			jqXHR.setRequestHeader( "Content-Type", s.contentType );
+		}
+
+		// Set the Accepts header for the server, depending on the dataType
+		jqXHR.setRequestHeader(
+			"Accept",
+			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
+				s.accepts[ s.dataTypes[ 0 ] ] +
+					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
+				s.accepts[ "*" ]
+		);
+
+		// Check for headers option
+		for ( i in s.headers ) {
+			jqXHR.setRequestHeader( i, s.headers[ i ] );
+		}
+
+		// Allow custom headers/mimetypes and early abort
+		if ( s.beforeSend &&
+			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
+
+			// Abort if not done already and return
+			return jqXHR.abort();
+		}
+
+		// Aborting is no longer a cancellation
+		strAbort = "abort";
+
+		// Install callbacks on deferreds
+		completeDeferred.add( s.complete );
+		jqXHR.done( s.success );
+		jqXHR.fail( s.error );
+
+		// Get transport
+		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
+
+		// If no transport, we auto-abort
+		if ( !transport ) {
+			done( -1, "No Transport" );
+		} else {
+			jqXHR.readyState = 1;
+
+			// Send global event
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
+			}
+
+			// If request was aborted inside ajaxSend, stop there
+			if ( completed ) {
+				return jqXHR;
+			}
+
+			// Timeout
+			if ( s.async && s.timeout > 0 ) {
+				timeoutTimer = window.setTimeout( function() {
+					jqXHR.abort( "timeout" );
+				}, s.timeout );
+			}
+
+			try {
+				completed = false;
+				transport.send( requestHeaders, done );
+			} catch ( e ) {
+
+				// Rethrow post-completion exceptions
+				if ( completed ) {
+					throw e;
+				}
+
+				// Propagate others as results
+				done( -1, e );
+			}
+		}
+
+		// Callback for when everything is done
+		function done( status, nativeStatusText, responses, headers ) {
+			var isSuccess, success, error, response, modified,
+				statusText = nativeStatusText;
+
+			// Ignore repeat invocations
+			if ( completed ) {
+				return;
+			}
+
+			completed = true;
+
+			// Clear timeout if it exists
+			if ( timeoutTimer ) {
+				window.clearTimeout( timeoutTimer );
+			}
+
+			// Dereference transport for early garbage collection
+			// (no matter how long the jqXHR object will be used)
+			transport = undefined;
+
+			// Cache response headers
+			responseHeadersString = headers || "";
+
+			// Set readyState
+			jqXHR.readyState = status > 0 ? 4 : 0;
+
+			// Determine if successful
+			isSuccess = status >= 200 && status < 300 || status === 304;
+
+			// Get response data
+			if ( responses ) {
+				response = ajaxHandleResponses( s, jqXHR, responses );
+			}
+
+			// Use a noop converter for missing script but not if jsonp
+			if ( !isSuccess &&
+				jQuery.inArray( "script", s.dataTypes ) > -1 &&
+				jQuery.inArray( "json", s.dataTypes ) < 0 ) {
+				s.converters[ "text script" ] = function() {};
+			}
+
+			// Convert no matter what (that way responseXXX fields are always set)
+			response = ajaxConvert( s, response, jqXHR, isSuccess );
+
+			// If successful, handle type chaining
+			if ( isSuccess ) {
+
+				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
+				if ( s.ifModified ) {
+					modified = jqXHR.getResponseHeader( "Last-Modified" );
+					if ( modified ) {
+						jQuery.lastModified[ cacheURL ] = modified;
+					}
+					modified = jqXHR.getResponseHeader( "etag" );
+					if ( modified ) {
+						jQuery.etag[ cacheURL ] = modified;
+					}
+				}
+
+				// if no content
+				if ( status === 204 || s.type === "HEAD" ) {
+					statusText = "nocontent";
+
+				// if not modified
+				} else if ( status === 304 ) {
+					statusText = "notmodified";
+
+				// If we have data, let's convert it
+				} else {
+					statusText = response.state;
+					success = response.data;
+					error = response.error;
+					isSuccess = !error;
+				}
+			} else {
+
+				// Extract error from statusText and normalize for non-aborts
+				error = statusText;
+				if ( status || !statusText ) {
+					statusText = "error";
+					if ( status < 0 ) {
+						status = 0;
+					}
+				}
+			}
+
+			// Set data for the fake xhr object
+			jqXHR.status = status;
+			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
+
+			// Success/Error
+			if ( isSuccess ) {
+				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
+			} else {
+				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
+			}
+
+			// Status-dependent callbacks
+			jqXHR.statusCode( statusCode );
+			statusCode = undefined;
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
+					[ jqXHR, s, isSuccess ? success : error ] );
+			}
+
+			// Complete
+			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
+
+			if ( fireGlobals ) {
+				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
+
+				// Handle the global AJAX counter
+				if ( !( --jQuery.active ) ) {
+					jQuery.event.trigger( "ajaxStop" );
+				}
+			}
+		}
+
+		return jqXHR;
+	},
+
+	getJSON: function( url, data, callback ) {
+		return jQuery.get( url, data, callback, "json" );
+	},
+
+	getScript: function( url, callback ) {
+		return jQuery.get( url, undefined, callback, "script" );
+	}
+} );
+
+jQuery.each( [ "get", "post" ], function( _i, method ) {
+	jQuery[ method ] = function( url, data, callback, type ) {
+
+		// Shift arguments if data argument was omitted
+		if ( isFunction( data ) ) {
+			type = type || callback;
+			callback = data;
+			data = undefined;
+		}
+
+		// The url can be an options object (which then must have .url)
+		return jQuery.ajax( jQuery.extend( {
+			url: url,
+			type: method,
+			dataType: type,
+			data: data,
+			success: callback
+		}, jQuery.isPlainObject( url ) && url ) );
+	};
+} );
+
+jQuery.ajaxPrefilter( function( s ) {
+	var i;
+	for ( i in s.headers ) {
+		if ( i.toLowerCase() === "content-type" ) {
+			s.contentType = s.headers[ i ] || "";
+		}
+	}
+} );
+
+
+jQuery._evalUrl = function( url, options, doc ) {
+	return jQuery.ajax( {
+		url: url,
+
+		// Make this explicit, since user can override this through ajaxSetup (#11264)
+		type: "GET",
+		dataType: "script",
+		cache: true,
+		async: false,
+		global: false,
+
+		// Only evaluate the response if it is successful (gh-4126)
+		// dataFilter is not invoked for failure responses, so using it instead
+		// of the default converter is kludgy but it works.
+		converters: {
+			"text script": function() {}
+		},
+		dataFilter: function( response ) {
+			jQuery.globalEval( response, options, doc );
+		}
+	} );
+};
+
+
+jQuery.fn.extend( {
+	wrapAll: function( html ) {
+		var wrap;
+
+		if ( this[ 0 ] ) {
+			if ( isFunction( html ) ) {
+				html = html.call( this[ 0 ] );
+			}
+
+			// The elements to wrap the target around
+			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
+
+			if ( this[ 0 ].parentNode ) {
+				wrap.insertBefore( this[ 0 ] );
+			}
+
+			wrap.map( function() {
+				var elem = this;
+
+				while ( elem.firstElementChild ) {
+					elem = elem.firstElementChild;
+				}
+
+				return elem;
+			} ).append( this );
+		}
+
+		return this;
+	},
+
+	wrapInner: function( html ) {
+		if ( isFunction( html ) ) {
+			return this.each( function( i ) {
+				jQuery( this ).wrapInner( html.call( this, i ) );
+			} );
+		}
+
+		return this.each( function() {
+			var self = jQuery( this ),
+				contents = self.contents();
+
+			if ( contents.length ) {
+				contents.wrapAll( html );
+
+			} else {
+				self.append( html );
+			}
+		} );
+	},
+
+	wrap: function( html ) {
+		var htmlIsFunction = isFunction( html );
+
+		return this.each( function( i ) {
+			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
+		} );
+	},
+
+	unwrap: function( selector ) {
+		this.parent( selector ).not( "body" ).each( function() {
+			jQuery( this ).replaceWith( this.childNodes );
+		} );
+		return this;
+	}
+} );
+
+
+jQuery.expr.pseudos.hidden = function( elem ) {
+	return !jQuery.expr.pseudos.visible( elem );
+};
+jQuery.expr.pseudos.visible = function( elem ) {
+	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
+};
+
+
+
+
+jQuery.ajaxSettings.xhr = function() {
+	try {
+		return new window.XMLHttpRequest();
+	} catch ( e ) {}
+};
+
+var xhrSuccessStatus = {
+
+		// File protocol always yields status code 0, assume 200
+		0: 200,
+
+		// Support: IE <=9 only
+		// #1450: sometimes IE returns 1223 when it should be 204
+		1223: 204
+	},
+	xhrSupported = jQuery.ajaxSettings.xhr();
+
+support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
+support.ajax = xhrSupported = !!xhrSupported;
+
+jQuery.ajaxTransport( function( options ) {
+	var callback, errorCallback;
+
+	// Cross domain only allowed if supported through XMLHttpRequest
+	if ( support.cors || xhrSupported && !options.crossDomain ) {
+		return {
+			send: function( headers, complete ) {
+				var i,
+					xhr = options.xhr();
+
+				xhr.open(
+					options.type,
+					options.url,
+					options.async,
+					options.username,
+					options.password
+				);
+
+				// Apply custom fields if provided
+				if ( options.xhrFields ) {
+					for ( i in options.xhrFields ) {
+						xhr[ i ] = options.xhrFields[ i ];
+					}
+				}
+
+				// Override mime type if needed
+				if ( options.mimeType && xhr.overrideMimeType ) {
+					xhr.overrideMimeType( options.mimeType );
+				}
+
+				// X-Requested-With header
+				// For cross-domain requests, seeing as conditions for a preflight are
+				// akin to a jigsaw puzzle, we simply never set it to be sure.
+				// (it can always be set on a per-request basis or even using ajaxSetup)
+				// For same-domain requests, won't change header if already provided.
+				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
+					headers[ "X-Requested-With" ] = "XMLHttpRequest";
+				}
+
+				// Set headers
+				for ( i in headers ) {
+					xhr.setRequestHeader( i, headers[ i ] );
+				}
+
+				// Callback
+				callback = function( type ) {
+					return function() {
+						if ( callback ) {
+							callback = errorCallback = xhr.onload =
+								xhr.onerror = xhr.onabort = xhr.ontimeout =
+									xhr.onreadystatechange = null;
+
+							if ( type === "abort" ) {
+								xhr.abort();
+							} else if ( type === "error" ) {
+
+								// Support: IE <=9 only
+								// On a manual native abort, IE9 throws
+								// errors on any property access that is not readyState
+								if ( typeof xhr.status !== "number" ) {
+									complete( 0, "error" );
+								} else {
+									complete(
+
+										// File: protocol always yields status 0; see #8605, #14207
+										xhr.status,
+										xhr.statusText
+									);
+								}
+							} else {
+								complete(
+									xhrSuccessStatus[ xhr.status ] || xhr.status,
+									xhr.statusText,
+
+									// Support: IE <=9 only
+									// IE9 has no XHR2 but throws on binary (trac-11426)
+									// For XHR2 non-text, let the caller handle it (gh-2498)
+									( xhr.responseType || "text" ) !== "text"  ||
+									typeof xhr.responseText !== "string" ?
+										{ binary: xhr.response } :
+										{ text: xhr.responseText },
+									xhr.getAllResponseHeaders()
+								);
+							}
+						}
+					};
+				};
+
+				// Listen to events
+				xhr.onload = callback();
+				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
+
+				// Support: IE 9 only
+				// Use onreadystatechange to replace onabort
+				// to handle uncaught aborts
+				if ( xhr.onabort !== undefined ) {
+					xhr.onabort = errorCallback;
+				} else {
+					xhr.onreadystatechange = function() {
+
+						// Check readyState before timeout as it changes
+						if ( xhr.readyState === 4 ) {
+
+							// Allow onerror to be called first,
+							// but that will not handle a native abort
+							// Also, save errorCallback to a variable
+							// as xhr.onerror cannot be accessed
+							window.setTimeout( function() {
+								if ( callback ) {
+									errorCallback();
+								}
+							} );
+						}
+					};
+				}
+
+				// Create the abort callback
+				callback = callback( "abort" );
+
+				try {
+
+					// Do send the request (this may raise an exception)
+					xhr.send( options.hasContent && options.data || null );
+				} catch ( e ) {
+
+					// #14683: Only rethrow if this hasn't been notified as an error yet
+					if ( callback ) {
+						throw e;
+					}
+				}
+			},
+
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
+jQuery.ajaxPrefilter( function( s ) {
+	if ( s.crossDomain ) {
+		s.contents.script = false;
+	}
+} );
+
+// Install script dataType
+jQuery.ajaxSetup( {
+	accepts: {
+		script: "text/javascript, application/javascript, " +
+			"application/ecmascript, application/x-ecmascript"
+	},
+	contents: {
+		script: /\b(?:java|ecma)script\b/
+	},
+	converters: {
+		"text script": function( text ) {
+			jQuery.globalEval( text );
+			return text;
+		}
+	}
+} );
+
+// Handle cache's special case and crossDomain
+jQuery.ajaxPrefilter( "script", function( s ) {
+	if ( s.cache === undefined ) {
+		s.cache = false;
+	}
+	if ( s.crossDomain ) {
+		s.type = "GET";
+	}
+} );
+
+// Bind script tag hack transport
+jQuery.ajaxTransport( "script", function( s ) {
+
+	// This transport only deals with cross domain or forced-by-attrs requests
+	if ( s.crossDomain || s.scriptAttrs ) {
+		var script, callback;
+		return {
+			send: function( _, complete ) {
+				script = jQuery( "<script>" )
+					.attr( s.scriptAttrs || {} )
+					.prop( { charset: s.scriptCharset, src: s.url } )
+					.on( "load error", callback = function( evt ) {
+						script.remove();
+						callback = null;
+						if ( evt ) {
+							complete( evt.type === "error" ? 404 : 200, evt.type );
+						}
+					} );
+
+				// Use native DOM manipulation to avoid our domManip AJAX trickery
+				document.head.appendChild( script[ 0 ] );
+			},
+			abort: function() {
+				if ( callback ) {
+					callback();
+				}
+			}
+		};
+	}
+} );
+
+
+
+
+var oldCallbacks = [],
+	rjsonp = /(=)\?(?=&|$)|\?\?/;
+
+// Default jsonp settings
+jQuery.ajaxSetup( {
+	jsonp: "callback",
+	jsonpCallback: function() {
+		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
+		this[ callback ] = true;
+		return callback;
+	}
+} );
+
+// Detect, normalize options and install callbacks for jsonp requests
+jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
+
+	var callbackName, overwritten, responseContainer,
+		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
+			"url" :
+			typeof s.data === "string" &&
+				( s.contentType || "" )
+					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
+				rjsonp.test( s.data ) && "data"
+		);
+
+	// Handle iff the expected data type is "jsonp" or we have a parameter to set
+	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
+
+		// Get callback name, remembering preexisting value associated with it
+		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
+			s.jsonpCallback() :
+			s.jsonpCallback;
+
+		// Insert callback into url or form data
+		if ( jsonProp ) {
+			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
+		} else if ( s.jsonp !== false ) {
+			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
+		}
+
+		// Use data converter to retrieve json after script execution
+		s.converters[ "script json" ] = function() {
+			if ( !responseContainer ) {
+				jQuery.error( callbackName + " was not called" );
+			}
+			return responseContainer[ 0 ];
+		};
+
+		// Force json dataType
+		s.dataTypes[ 0 ] = "json";
+
+		// Install callback
+		overwritten = window[ callbackName ];
+		window[ callbackName ] = function() {
+			responseContainer = arguments;
+		};
+
+		// Clean-up function (fires after converters)
+		jqXHR.always( function() {
+
+			// If previous value didn't exist - remove it
+			if ( overwritten === undefined ) {
+				jQuery( window ).removeProp( callbackName );
+
+			// Otherwise restore preexisting value
+			} else {
+				window[ callbackName ] = overwritten;
+			}
+
+			// Save back as free
+			if ( s[ callbackName ] ) {
+
+				// Make sure that re-using the options doesn't screw things around
+				s.jsonpCallback = originalSettings.jsonpCallback;
+
+				// Save the callback name for future use
+				oldCallbacks.push( callbackName );
+			}
+
+			// Call if it was a function and we have a response
+			if ( responseContainer && isFunction( overwritten ) ) {
+				overwritten( responseContainer[ 0 ] );
+			}
+
+			responseContainer = overwritten = undefined;
+		} );
+
+		// Delegate to script
+		return "script";
+	}
+} );
+
+
+
+
+// Support: Safari 8 only
+// In Safari 8 documents created via document.implementation.createHTMLDocument
+// collapse sibling forms: the second one becomes a child of the first one.
+// Because of that, this security measure has to be disabled in Safari 8.
+// https://bugs.webkit.org/show_bug.cgi?id=137337
+support.createHTMLDocument = ( function() {
+	var body = document.implementation.createHTMLDocument( "" ).body;
+	body.innerHTML = "<form></form><form></form>";
+	return body.childNodes.length === 2;
+} )();
+
+
+// Argument "data" should be string of html
+// context (optional): If specified, the fragment will be created in this context,
+// defaults to document
+// keepScripts (optional): If true, will include scripts passed in the html string
+jQuery.parseHTML = function( data, context, keepScripts ) {
+	if ( typeof data !== "string" ) {
+		return [];
+	}
+	if ( typeof context === "boolean" ) {
+		keepScripts = context;
+		context = false;
+	}
+
+	var base, parsed, scripts;
+
+	if ( !context ) {
+
+		// Stop scripts or inline event handlers from being executed immediately
+		// by using document.implementation
+		if ( support.createHTMLDocument ) {
+			context = document.implementation.createHTMLDocument( "" );
+
+			// Set the base href for the created document
+			// so any parsed elements with URLs
+			// are based on the document's URL (gh-2965)
+			base = context.createElement( "base" );
+			base.href = document.location.href;
+			context.head.appendChild( base );
+		} else {
+			context = document;
+		}
+	}
+
+	parsed = rsingleTag.exec( data );
+	scripts = !keepScripts && [];
+
+	// Single tag
+	if ( parsed ) {
+		return [ context.createElement( parsed[ 1 ] ) ];
+	}
+
+	parsed = buildFragment( [ data ], context, scripts );
+
+	if ( scripts && scripts.length ) {
+		jQuery( scripts ).remove();
+	}
+
+	return jQuery.merge( [], parsed.childNodes );
+};
+
+
+/**
+ * Load a url into a page
+ */
+jQuery.fn.load = function( url, params, callback ) {
+	var selector, type, response,
+		self = this,
+		off = url.indexOf( " " );
+
+	if ( off > -1 ) {
+		selector = stripAndCollapse( url.slice( off ) );
+		url = url.slice( 0, off );
+	}
+
+	// If it's a function
+	if ( isFunction( params ) ) {
+
+		// We assume that it's the callback
+		callback = params;
+		params = undefined;
+
+	// Otherwise, build a param string
+	} else if ( params && typeof params === "object" ) {
+		type = "POST";
+	}
+
+	// If we have elements to modify, make the request
+	if ( self.length > 0 ) {
+		jQuery.ajax( {
+			url: url,
+
+			// If "type" variable is undefined, then "GET" method will be used.
+			// Make value of this field explicit since
+			// user can override it through ajaxSetup method
+			type: type || "GET",
+			dataType: "html",
+			data: params
+		} ).done( function( responseText ) {
+
+			// Save response for use in complete callback
+			response = arguments;
+
+			self.html( selector ?
+
+				// If a selector was specified, locate the right elements in a dummy div
+				// Exclude scripts to avoid IE 'Permission Denied' errors
+				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
+
+				// Otherwise use the full result
+				responseText );
+
+		// If the request succeeds, this function gets "data", "status", "jqXHR"
+		// but they are ignored because response was set above.
+		// If it fails, this function gets "jqXHR", "status", "error"
+		} ).always( callback && function( jqXHR, status ) {
+			self.each( function() {
+				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
+			} );
+		} );
+	}
+
+	return this;
+};
+
+
+
+
+jQuery.expr.pseudos.animated = function( elem ) {
+	return jQuery.grep( jQuery.timers, function( fn ) {
+		return elem === fn.elem;
+	} ).length;
+};
+
+
+
+
+jQuery.offset = {
+	setOffset: function( elem, options, i ) {
+		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
+			position = jQuery.css( elem, "position" ),
+			curElem = jQuery( elem ),
+			props = {};
+
+		// Set position first, in-case top/left are set even on static elem
+		if ( position === "static" ) {
+			elem.style.position = "relative";
+		}
+
+		curOffset = curElem.offset();
+		curCSSTop = jQuery.css( elem, "top" );
+		curCSSLeft = jQuery.css( elem, "left" );
+		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
+			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
+
+		// Need to be able to calculate position if either
+		// top or left is auto and position is either absolute or fixed
+		if ( calculatePosition ) {
+			curPosition = curElem.position();
+			curTop = curPosition.top;
+			curLeft = curPosition.left;
+
+		} else {
+			curTop = parseFloat( curCSSTop ) || 0;
+			curLeft = parseFloat( curCSSLeft ) || 0;
+		}
+
+		if ( isFunction( options ) ) {
+
+			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
+			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
+		}
+
+		if ( options.top != null ) {
+			props.top = ( options.top - curOffset.top ) + curTop;
+		}
+		if ( options.left != null ) {
+			props.left = ( options.left - curOffset.left ) + curLeft;
+		}
+
+		if ( "using" in options ) {
+			options.using.call( elem, props );
+
+		} else {
+			curElem.css( props );
+		}
+	}
+};
+
+jQuery.fn.extend( {
+
+	// offset() relates an element's border box to the document origin
+	offset: function( options ) {
+
+		// Preserve chaining for setter
+		if ( arguments.length ) {
+			return options === undefined ?
+				this :
+				this.each( function( i ) {
+					jQuery.offset.setOffset( this, options, i );
+				} );
+		}
+
+		var rect, win,
+			elem = this[ 0 ];
+
+		if ( !elem ) {
+			return;
+		}
+
+		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
+		// Support: IE <=11 only
+		// Running getBoundingClientRect on a
+		// disconnected node in IE throws an error
+		if ( !elem.getClientRects().length ) {
+			return { top: 0, left: 0 };
+		}
+
+		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
+		rect = elem.getBoundingClientRect();
+		win = elem.ownerDocument.defaultView;
+		return {
+			top: rect.top + win.pageYOffset,
+			left: rect.left + win.pageXOffset
+		};
+	},
+
+	// position() relates an element's margin box to its offset parent's padding box
+	// This corresponds to the behavior of CSS absolute positioning
+	position: function() {
+		if ( !this[ 0 ] ) {
+			return;
+		}
+
+		var offsetParent, offset, doc,
+			elem = this[ 0 ],
+			parentOffset = { top: 0, left: 0 };
+
+		// position:fixed elements are offset from the viewport, which itself always has zero offset
+		if ( jQuery.css( elem, "position" ) === "fixed" ) {
+
+			// Assume position:fixed implies availability of getBoundingClientRect
+			offset = elem.getBoundingClientRect();
+
+		} else {
+			offset = this.offset();
+
+			// Account for the *real* offset parent, which can be the document or its root element
+			// when a statically positioned element is identified
+			doc = elem.ownerDocument;
+			offsetParent = elem.offsetParent || doc.documentElement;
+			while ( offsetParent &&
+				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
+				jQuery.css( offsetParent, "position" ) === "static" ) {
+
+				offsetParent = offsetParent.parentNode;
+			}
+			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
+
+				// Incorporate borders into its offset, since they are outside its content origin
+				parentOffset = jQuery( offsetParent ).offset();
+				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
+				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
+			}
+		}
+
+		// Subtract parent offsets and element margins
+		return {
+			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
+			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
+		};
+	},
+
+	// This method will return documentElement in the following cases:
+	// 1) For the element inside the iframe without offsetParent, this method will return
+	//    documentElement of the parent window
+	// 2) For the hidden or detached element
+	// 3) For body or html element, i.e. in case of the html node - it will return itself
+	//
+	// but those exceptions were never presented as a real life use-cases
+	// and might be considered as more preferable results.
+	//
+	// This logic, however, is not guaranteed and can change at any point in the future
+	offsetParent: function() {
+		return this.map( function() {
+			var offsetParent = this.offsetParent;
+
+			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
+				offsetParent = offsetParent.offsetParent;
+			}
+
+			return offsetParent || documentElement;
+		} );
+	}
+} );
+
+// Create scrollLeft and scrollTop methods
+jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
+	var top = "pageYOffset" === prop;
+
+	jQuery.fn[ method ] = function( val ) {
+		return access( this, function( elem, method, val ) {
+
+			// Coalesce documents and windows
+			var win;
+			if ( isWindow( elem ) ) {
+				win = elem;
+			} else if ( elem.nodeType === 9 ) {
+				win = elem.defaultView;
+			}
+
+			if ( val === undefined ) {
+				return win ? win[ prop ] : elem[ method ];
+			}
+
+			if ( win ) {
+				win.scrollTo(
+					!top ? val : win.pageXOffset,
+					top ? val : win.pageYOffset
+				);
+
+			} else {
+				elem[ method ] = val;
+			}
+		}, method, val, arguments.length );
+	};
+} );
+
+// Support: Safari <=7 - 9.1, Chrome <=37 - 49
+// Add the top/left cssHooks using jQuery.fn.position
+// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
+// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
+// getComputedStyle returns percent when specified for top/left/bottom/right;
+// rather than make the css module depend on the offset module, just check for it here
+jQuery.each( [ "top", "left" ], function( _i, prop ) {
+	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
+		function( elem, computed ) {
+			if ( computed ) {
+				computed = curCSS( elem, prop );
+
+				// If curCSS returns percentage, fallback to offset
+				return rnumnonpx.test( computed ) ?
+					jQuery( elem ).position()[ prop ] + "px" :
+					computed;
+			}
+		}
+	);
+} );
+
+
+// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
+jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
+	jQuery.each( {
+		padding: "inner" + name,
+		content: type,
+		"": "outer" + name
+	}, function( defaultExtra, funcName ) {
+
+		// Margin is only for outerHeight, outerWidth
+		jQuery.fn[ funcName ] = function( margin, value ) {
+			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
+				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
+
+			return access( this, function( elem, type, value ) {
+				var doc;
+
+				if ( isWindow( elem ) ) {
+
+					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
+					return funcName.indexOf( "outer" ) === 0 ?
+						elem[ "inner" + name ] :
+						elem.document.documentElement[ "client" + name ];
+				}
+
+				// Get document width or height
+				if ( elem.nodeType === 9 ) {
+					doc = elem.documentElement;
+
+					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
+					// whichever is greatest
+					return Math.max(
+						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
+						elem.body[ "offset" + name ], doc[ "offset" + name ],
+						doc[ "client" + name ]
+					);
+				}
+
+				return value === undefined ?
+
+					// Get width or height on the element, requesting but not forcing parseFloat
+					jQuery.css( elem, type, extra ) :
+
+					// Set width or height on the element
+					jQuery.style( elem, type, value, extra );
+			}, type, chainable ? margin : undefined, chainable );
+		};
+	} );
+} );
+
+
+jQuery.each( [
+	"ajaxStart",
+	"ajaxStop",
+	"ajaxComplete",
+	"ajaxError",
+	"ajaxSuccess",
+	"ajaxSend"
+], function( _i, type ) {
+	jQuery.fn[ type ] = function( fn ) {
+		return this.on( type, fn );
+	};
+} );
+
+
+
+
+jQuery.fn.extend( {
+
+	bind: function( types, data, fn ) {
+		return this.on( types, null, data, fn );
+	},
+	unbind: function( types, fn ) {
+		return this.off( types, null, fn );
+	},
+
+	delegate: function( selector, types, data, fn ) {
+		return this.on( types, selector, data, fn );
+	},
+	undelegate: function( selector, types, fn ) {
+
+		// ( namespace ) or ( selector, types [, fn] )
+		return arguments.length === 1 ?
+			this.off( selector, "**" ) :
+			this.off( types, selector || "**", fn );
+	},
+
+	hover: function( fnOver, fnOut ) {
+		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
+	}
+} );
+
+jQuery.each(
+	( "blur focus focusin focusout resize scroll click dblclick " +
+	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
+	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
+	function( _i, name ) {
+
+		// Handle event binding
+		jQuery.fn[ name ] = function( data, fn ) {
+			return arguments.length > 0 ?
+				this.on( name, null, data, fn ) :
+				this.trigger( name );
+		};
+	}
+);
+
+
+
+
+// Support: Android <=4.0 only
+// Make sure we trim BOM and NBSP
+var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
+
+// Bind a function to a context, optionally partially applying any
+// arguments.
+// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
+// However, it is not slated for removal any time soon
+jQuery.proxy = function( fn, context ) {
+	var tmp, args, proxy;
+
+	if ( typeof context === "string" ) {
+		tmp = fn[ context ];
+		context = fn;
+		fn = tmp;
+	}
+
+	// Quick check to determine if target is callable, in the spec
+	// this throws a TypeError, but we will just return undefined.
+	if ( !isFunction( fn ) ) {
+		return undefined;
+	}
+
+	// Simulated bind
+	args = slice.call( arguments, 2 );
+	proxy = function() {
+		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
+	};
+
+	// Set the guid of unique handler to the same of original handler, so it can be removed
+	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
+
+	return proxy;
+};
+
+jQuery.holdReady = function( hold ) {
+	if ( hold ) {
+		jQuery.readyWait++;
+	} else {
+		jQuery.ready( true );
+	}
+};
+jQuery.isArray = Array.isArray;
+jQuery.parseJSON = JSON.parse;
+jQuery.nodeName = nodeName;
+jQuery.isFunction = isFunction;
+jQuery.isWindow = isWindow;
+jQuery.camelCase = camelCase;
+jQuery.type = toType;
+
+jQuery.now = Date.now;
+
+jQuery.isNumeric = function( obj ) {
+
+	// As of jQuery 3.0, isNumeric is limited to
+	// strings and numbers (primitives or objects)
+	// that can be coerced to finite numbers (gh-2662)
+	var type = jQuery.type( obj );
+	return ( type === "number" || type === "string" ) &&
+
+		// parseFloat NaNs numeric-cast false positives ("")
+		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
+		// subtraction forces infinities to NaN
+		!isNaN( obj - parseFloat( obj ) );
+};
+
+jQuery.trim = function( text ) {
+	return text == null ?
+		"" :
+		( text + "" ).replace( rtrim, "" );
+};
+
+
+
+// Register as a named AMD module, since jQuery can be concatenated with other
+// files that may use define, but not via a proper concatenation script that
+// understands anonymous AMD modules. A named AMD is safest and most robust
+// way to register. Lowercase jquery is used because AMD module names are
+// derived from file names, and jQuery is normally delivered in a lowercase
+// file name. Do this after creating the global so that if an AMD module wants
+// to call noConflict to hide this version of jQuery, it will work.
+
+// Note that for maximum portability, libraries that are not jQuery should
+// declare themselves as anonymous modules, and avoid setting a global if an
+// AMD loader is present. jQuery is a special case. For more information, see
+// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
+
+if ( typeof define === "function" && define.amd ) {
+	define( "jquery", [], function() {
+		return jQuery;
+	} );
+}
+
+
+
+
+var
+
+	// Map over jQuery in case of overwrite
+	_jQuery = window.jQuery,
+
+	// Map over the $ in case of overwrite
+	_$ = window.$;
+
+jQuery.noConflict = function( deep ) {
+	if ( window.$ === jQuery ) {
+		window.$ = _$;
+	}
+
+	if ( deep && window.jQuery === jQuery ) {
+		window.jQuery = _jQuery;
+	}
+
+	return jQuery;
+};
+
+// Expose jQuery and $ identifiers, even in AMD
+// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
+// and CommonJS for browser emulators (#13566)
+if ( typeof noGlobal === "undefined" ) {
+	window.jQuery = window.$ = jQuery;
+}
+
+
+
+
+return jQuery;
+} );
diff --git a/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js
new file mode 100644
index 0000000..c4c6022
--- /dev/null
+++ b/docs/deps/jquery-3.6.0/jquery-3.6.0.min.js
@@ -0,0 +1,2 @@
+/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
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\ No newline at end of file
diff --git a/docs/deps/search-1.0.0/autocomplete.jquery.min.js b/docs/deps/search-1.0.0/autocomplete.jquery.min.js
new file mode 100644
index 0000000..fb63a6a
--- /dev/null
+++ b/docs/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 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c=this.dropdown.getDatumForCursor(),d=this.dropdown.getCurrentCursor().attr("id");this.input.setActiveDescendant(d),c&&(b&&this.input.setInputValue(c.value,!0),this.eventBus.trigger("cursorchanged",c.raw,c.datasetName))},_onCursorRemoved:function(){this.input.resetInputValue(),this._updateHint(),this.eventBus.trigger("cursorremoved")},_onDatasetRendered:function(){this._updateHint(),this.eventBus.trigger("updated")},_onOpened:function(){this._updateHint(),this.input.expand(),this.eventBus.trigger("opened")},_onEmpty:function(){this.eventBus.trigger("empty")},_onRedrawn:function(){this.$node.css("top","0px"),this.$node.css("left","0px");var a=this.$input[0].getBoundingClientRect();this.autoWidth&&this.$node.css("width",a.width+"px");var b=this.$node[0].getBoundingClientRect(),c=a.bottom-b.top;this.$node.css("top",c+"px");var 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e={selectionMethod:"enterKey"};c?(this._select(c,e),b.preventDefault()):this.autoselect&&d&&(this._select(d,e),b.preventDefault())},_onTabKeyed:function(a,b){if(!this.tabAutocomplete)return void this.dropdown.close();var c,d={selectionMethod:"tabKey"};(c=this.dropdown.getDatumForCursor())?(this._select(c,d),b.preventDefault()):this._autocomplete(!0)},_onEscKeyed:function(){this.dropdown.close(),this.input.resetInputValue()},_onUpKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorUp(),this.dropdown.open()},_onDownKeyed:function(){var a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorDown(),this.dropdown.open()},_onLeftKeyed:function(){"rtl"===this.dir&&this._autocomplete()},_onRightKeyed:function(){"ltr"===this.dir&&this._autocomplete()},_onQueryChanged:function(a,b){this.input.clearHintIfInvalid(),b.length>=this.minLength?this.dropdown.update(b):this.dropdown.empty(),this.dropdown.open(),this._setLanguageDirection()},_onWhitespaceChanged:function(){this._updateHint(),this.dropdown.open()},_setLanguageDirection:function(){var a=this.input.getLanguageDirection();this.dir!==a&&(this.dir=a,this.$node.css("direction",a),this.dropdown.setLanguageDirection(a))},_updateHint:function(){var a,b,c,d,e,f;a=this.dropdown.getDatumForTopSuggestion(),a&&this.dropdown.isVisible()&&!this.input.hasOverflow()?(b=this.input.getInputValue(),c=l.normalizeQuery(b),d=i.escapeRegExChars(c),e=new 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a=this.input.getInputValue();a.length>=this.minLength?this.dropdown.update(a):this.dropdown.empty()}this.dropdown.open()},close:function(){this.dropdown.close()},setVal:function(a){a=i.toStr(a),this.isActivated?this.input.setInputValue(a):(this.input.setQuery(a),this.input.setInputValue(a,!0)),this._setLanguageDirection()},getVal:function(){return this.input.getQuery()},destroy:function(){this.input.destroy(),this.dropdown.destroy(),g(this.$node,this.cssClasses),this.$node=null},getWrapper:function(){return this.dropdown.$container[0]}}),d.Dropdown=m,d.Input=l,d.sources=c(20),a.exports=d},function(a,b,c){"use strict";function d(a){a&&a.el||e.error("EventBus initialized without el"),this.$el=f.element(a.el)}var e=c(4),f=c(2);e.mixin(d.prototype,{trigger:function(a,b,c,d){var f=e.Event("autocomplete:"+a);return this.$el.trigger(f,[b,c,d]),f}}),a.exports=d},function(a,b,c){"use strict";function d(a){var b,c,d,f,g=this;a=a||{},a.input||i.error("input is 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b=h[a.which||a.keyCode];this._managePreventDefault(b,a),b&&this._shouldTrigger(b,a)&&this.trigger(b+"Keyed",a)},_onInput:function(){this._checkInputValue()},_managePreventDefault:function(a,b){var c,d,e;switch(a){case"tab":d=this.getHint(),e=this.getInputValue(),c=d&&d!==e&&!g(b);break;case"up":case"down":c=!g(b);break;default:c=!1}c&&b.preventDefault()},_shouldTrigger:function(a,b){var c;switch(a){case"tab":c=!g(b);break;default:c=!0}return c},_checkInputValue:function(){var a,b,c;a=this.getInputValue(),b=f(a,this.query),c=!(!b||!this.query)&&this.query.length!==a.length,this.query=a,b?c&&this.trigger("whitespaceChanged",this.query):this.trigger("queryChanged",this.query)},focus:function(){this.$input.focus()},blur:function(){this.$input.blur()},getQuery:function(){return this.query},setQuery:function(a){this.query=a},getInputValue:function(){return this.$input.val()},setInputValue:function(a,b){void 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\ No newline at end of file
diff --git a/docs/deps/search-1.0.0/fuse.min.js b/docs/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 0000000..7def598
--- /dev/null
+++ b/docs/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var 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\ No newline at end of file
diff --git a/docs/deps/search-1.0.0/mark.min.js b/docs/deps/search-1.0.0/mark.min.js
new file mode 100644
index 0000000..1eea053
--- /dev/null
+++ b/docs/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){"use strict";var e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return n&&e(t.prototype,n),r&&e(t,r),t}}(),r=Object.assign||function(e){for(var t=1;t<arguments.length;t++){var n=arguments[t];for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(e[r]=n[r])}return e},i=function(){function e(n){var r=!(arguments.length>1&&void 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diff --git a/docs/index.html b/docs/index.html
index e1380c5..0188b31 100644
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 <title>Find Clinical Trial Sites Under-Reporting Adverse Events • simaerep</title>
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-<script src="pkgdown.js"></script><meta property="og:title" content="Find Clinical Trial Sites Under-Reporting Adverse Events">
-<meta property="og:description" content="Monitoring of Adverse Event (AE) reporting in clinical trials is 
-  important for patient safety. Sites that are under-reporting AEs can be detected 
-  using Bootstrap-based simulations that simulate overall AE reporting. Based on the 
-  simulation an AE under-reporting probability is assigned to each site in a 
-  given trial (Koneswarakantha 2021 &lt;doi:10.1007/s40264-020-01011-5&gt;).">
+<script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
+<link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Find Clinical Trial Sites Under-Reporting Adverse Events">
+<meta name="description" content="Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 &lt;doi:10.1007/s40264-020-01011-5&gt;).">
+<meta property="og:description" content="Monitoring of Adverse Event (AE) reporting in clinical trials is important for patient safety. Sites that are under-reporting AEs can be detected using Bootstrap-based simulations that simulate overall AE reporting. Based on the simulation an AE under-reporting probability is assigned to each site in a given trial (Koneswarakantha 2021 &lt;doi:10.1007/s40264-020-01011-5&gt;).">
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+    <li><a class="dropdown-item" href="articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
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 <!-- badges: start -->
 
 <p>Simulate adverse event reporting in clinical trials with the goal of detecting under-reporting sites.</p>
@@ -160,22 +110,17 @@ <h2 id="impala">IMPALA<a class="anchor" aria-label="anchor" href="#impala"></a>
 <p><a href="https://impala-consortium.org/" class="external-link"><img src="https://impala-consortium.org/wp-content/uploads/IMPALA-logo-x2.png" alt="IMPALA logo"></a></p>
 </div>
 <div class="section level2">
-<h2 id="publication">Publication<a class="anchor" aria-label="anchor" href="#publication"></a>
+<h2 id="publications">Publications<a class="anchor" aria-label="anchor" href="#publications"></a>
 </h2>
+<p>Koneswarakantha, B., Adyanthaya, R., Emerson, J. et al. An Open-Source R Package for Detection of Adverse Events Under-Reporting in Clinical Trials: Implementation and Validation by the IMPALA (Inter coMPany quALity Analytics) Consortium. Ther Innov Regul Sci 58, 591–599 (2024). <a href="https://doi.org/10.1007/s43441-024-00631-8" class="external-link uri">https://doi.org/10.1007/s43441-024-00631-8</a></p>
 <p>Koneswarakantha, B., Barmaz, Y., Ménard, T. et al. Follow-up on the Use of Advanced Analytics for Clinical Quality Assurance: Bootstrap Resampling to Enhance Detection of Adverse Event Under-Reporting. Drug Saf (2020). <a href="https://doi.org/10.1007/s40264-020-01011-5" class="external-link uri">https://doi.org/10.1007/s40264-020-01011-5</a></p>
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-<h2 id="vignettes-articles-tutorials">Vignettes/ Articles/ Tutorials<a class="anchor" aria-label="anchor" href="#vignettes-articles-tutorials"></a>
+<h2 id="tutorials">Tutorials<a class="anchor" aria-label="anchor" href="#tutorials"></a>
 </h2>
-<p><a href="https://vimeo.com/776275791?embedded=true&amp;source=vimeo_logo&amp;owner=189858368" class="external-link">video presentation 15 min</a></p>
 <ul>
-<li><a href="https://openpharma.github.io/simaerep/articles/intro.html">Introduction</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/usability_limits.html">Usability Limits</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/check_poisson.html">Check Poisson Test Applicability</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/sas_files.html">SAS Files</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
-<li><a href="https://openpharma.github.io/simaerep/articles/portfolio_perf.html">Portfolio Performance</a></li>
+<li><a href="https://vimeo.com/776275791?embedded=true&amp;source=vimeo_logo&amp;owner=189858368" class="external-link">video presentation 15 min</a></li>
+<li><a href="https://openpharma.github.io/simaerep">Documentation with Vignettes</a></li>
 </ul>
 </div>
 <div class="section level2">
@@ -403,10 +348,7 @@ <h2 id="application">Application<a class="anchor" aria-label="anchor" href="#app
 <p><em>Left panel shows mean AE reporting per site (lightblue and darkblue lines) against mean AE reporting of the entire study (golden line). Single sites are plotted in descending order by AE under-reporting probability on the right panel in which grey lines denote cumulative AE count of single patients. Grey dots in the left panel plot indicate sites that were picked for single plotting. AE under-reporting probability of dark blue lines crossed threshold of 95%. Numbers in the upper left corner indicate the ratio of patients that have been used for the analysis against the total number of patients. Patients that have not been on the study long enough to reach the evaluation point (visit_med75, see introduction) will be ignored.</em></p>
 </div>
 </div>
-  </div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <div class="links">
+  </main><aside class="col-md-3"><div class="links">
 <h2 data-toc-skip>Links</h2>
 <ul class="list-unstyled">
 <li><a href="https://cloud.r-project.org/package=simaerep" class="external-link">View on CRAN</a></li>
@@ -449,27 +391,24 @@ <h2 data-toc-skip>Dev status</h2>
 </ul>
 </div>
 
-  </div>
+  </aside>
 </div>
 
 
-      <footer><div class="copyright">
-  <p></p>
-<p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-      </footer>
+    </footer>
 </div>
 
-  
 
 
-  
+
 
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 </html>
diff --git a/docs/katex-auto.js b/docs/katex-auto.js
new file mode 100644
index 0000000..20651d9
--- /dev/null
+++ b/docs/katex-auto.js
@@ -0,0 +1,14 @@
+// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
+document.addEventListener("DOMContentLoaded", function () {
+  var mathElements = document.getElementsByClassName("math");
+  var macros = [];
+  for (var i = 0; i < mathElements.length; i++) {
+    var texText = mathElements[i].firstChild;
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+        displayMode: mathElements[i].classList.contains("display"),
+        throwOnError: false,
+        macros: macros,
+        fleqn: false
+      });
+    }}});
diff --git a/docs/lightswitch.js b/docs/lightswitch.js
new file mode 100644
index 0000000..9467125
--- /dev/null
+++ b/docs/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
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+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/docs/news/index.html b/docs/news/index.html
index 91d308d..b2561cd 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -1,174 +1,131 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Changelog • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-</script></head><body data-spy="scroll" data-target="#toc">
-    
-
-    <div class="container template-news">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
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-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
-
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav"><li>
-  <a href="../index.html">
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-      <a href="../articles/intro.html">Introduction</a>
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-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+    </button>
+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
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-  <div class="col-md-9 contents">
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-      <h1 data-toc-skip>Changelog <small></small></h1>
+<li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-news">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Changelog</h1>
       <small>Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.5.0" id="simaerep-050">simaerep 0.5.0<a class="anchor" aria-label="anchor" href="#simaerep-050"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.6.0" id="simaerep-060">simaerep 0.6.0<a class="anchor" aria-label="anchor" href="#simaerep-060"></a></h2>
+<ul><li>inframe method use table operations only, do not use visit_med75</li>
+<li><a href="https://github.com/openpharma/simaerep/issues/59" class="external-link uri">https://github.com/openpharma/simaerep/issues/59</a></li>
+<li><a href="https://github.com/openpharma/simaerep/issues/16" class="external-link uri">https://github.com/openpharma/simaerep/issues/16</a></li>
+<li>update vignettes</li>
+</ul></div>
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="0.5.0" id="simaerep-050">simaerep 0.5.0<a class="anchor" aria-label="anchor" href="#simaerep-050"></a></h2><p class="text-muted">CRAN release: 2024-04-03</p>
 <ul><li>allow flexible AE rates in data simulations</li>
 <li>add vignette comparing simaerep to gsm performance</li>
 <li>add over-reporting probability</li>
 <li>fix dplyr warnings</li>
 <li>fix warnings around ggplot and cowplot</li>
+<li><a href="https://github.com/openpharma/simaerep/issues/45" class="external-link uri">https://github.com/openpharma/simaerep/issues/45</a></li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.4.3" id="simaerep-043">simaerep 0.4.3<small>2023-03-03</small><a class="anchor" aria-label="anchor" href="#simaerep-043"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.4.3" id="simaerep-043">simaerep 0.4.3<a class="anchor" aria-label="anchor" href="#simaerep-043"></a></h2><p class="text-muted">CRAN release: 2023-03-03</p>
 <ul><li>delete performance unit tests (poisson faster than bootstrap) to accommodate CRAN request</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.4.2" id="simaerep-042">simaerep 0.4.2<small>2023-02-25</small><a class="anchor" aria-label="anchor" href="#simaerep-042"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.4.2" id="simaerep-042">simaerep 0.4.2<a class="anchor" aria-label="anchor" href="#simaerep-042"></a></h2><p class="text-muted">CRAN release: 2023-02-25</p>
 <ul><li>CRAN submission</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.4.1" id="simaerep-041">simaerep 0.4.1<a class="anchor" aria-label="anchor" href="#simaerep-041"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.4.1" id="simaerep-041">simaerep 0.4.1<a class="anchor" aria-label="anchor" href="#simaerep-041"></a></h2>
 <ul><li>validation report</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.4.0" id="simaerep-040">simaerep 0.4.0<a class="anchor" aria-label="anchor" href="#simaerep-040"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.4.0" id="simaerep-040">simaerep 0.4.0<a class="anchor" aria-label="anchor" href="#simaerep-040"></a></h2>
 <ul><li>S3 interface <a href="https://github.com/openpharma/simaerep/issues/17" class="external-link">#17</a></li>
 <li>better performance specification <a href="https://github.com/openpharma/simaerep/issues/26" class="external-link">#26</a></li>
 <li>more meaningful unit test names <a href="https://github.com/openpharma/simaerep/issues/24" class="external-link">#24</a> <a href="https://github.com/openpharma/simaerep/issues/30" class="external-link">#30</a> <a href="https://github.com/openpharma/simaerep/issues/33" class="external-link">#33</a></li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.3.3" id="simaerep-033">simaerep 0.3.3<a class="anchor" aria-label="anchor" href="#simaerep-033"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.3.3" id="simaerep-033">simaerep 0.3.3<a class="anchor" aria-label="anchor" href="#simaerep-033"></a></h2>
 <ul><li>better data checks and error messages <a href="https://github.com/openpharma/simaerep/issues/19" class="external-link">#19</a>, <a href="https://github.com/openpharma/simaerep/issues/20" class="external-link">#20</a>, # 21</li>
 <li>data check and repair by check_df_visit() became optionable</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.3.2" id="simaerep-032">simaerep 0.3.2<a class="anchor" aria-label="anchor" href="#simaerep-032"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.3.2" id="simaerep-032">simaerep 0.3.2<a class="anchor" aria-label="anchor" href="#simaerep-032"></a></h2>
 <ul><li>added portfolio performance assessment</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.3.1" id="simaerep-031">simaerep 0.3.1<a class="anchor" aria-label="anchor" href="#simaerep-031"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.3.1" id="simaerep-031">simaerep 0.3.1<a class="anchor" aria-label="anchor" href="#simaerep-031"></a></h2>
 <ul><li>changed MIT License holder from openpharma to F. Hoffmann-La Roche Ltd and simaerep authors</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.3.0" id="simaerep-030">simaerep 0.3.0<a class="anchor" aria-label="anchor" href="#simaerep-030"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.3.0" id="simaerep-030">simaerep 0.3.0<a class="anchor" aria-label="anchor" href="#simaerep-030"></a></h2>
 <ul><li>improved evaluation point visit_med75</li>
 <li>allow days instead of visit</li>
 </ul></div>
     <div class="section level2">
-<h2 class="page-header" data-toc-text="0.2.0" id="simaerep-020">simaerep 0.2.0<a class="anchor" aria-label="anchor" href="#simaerep-020"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.2.0" id="simaerep-020">simaerep 0.2.0<a class="anchor" aria-label="anchor" href="#simaerep-020"></a></h2>
 <ul><li>use Benjamin Hochberg procedure for alpha error correction</li>
 <li>fix warnings around parallel processing</li>
 <li>improved SAS files vignette</li>
 </ul></div>
-  </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
 
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
-</div>
+    </footer></div>
 
-      </footer></div>
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/pkgdown.js b/docs/pkgdown.js
index 6f0eee4..9757bf9 100644
--- a/docs/pkgdown.js
+++ b/docs/pkgdown.js
@@ -2,83 +2,43 @@
 (function($) {
   $(function() {
 
-    $('.navbar-fixed-top').headroom();
+    $('nav.navbar').headroom();
 
-    $('body').css('padding-top', $('.navbar').height() + 10);
-    $(window).resize(function(){
-      $('body').css('padding-top', $('.navbar').height() + 10);
+    Toc.init({
+      $nav: $("#toc"),
+      $scope: $("main h2, main h3, main h4, main h5, main h6")
     });
 
-    $('[data-toggle="tooltip"]').tooltip();
-
-    var cur_path = paths(location.pathname);
-    var links = $("#navbar ul li a");
-    var max_length = -1;
-    var pos = -1;
-    for (var i = 0; i < links.length; i++) {
-      if (links[i].getAttribute("href") === "#")
-        continue;
-      // Ignore external links
-      if (links[i].host !== location.host)
-        continue;
-
-      var nav_path = paths(links[i].pathname);
-
-      var length = prefix_length(nav_path, cur_path);
-      if (length > max_length) {
-        max_length = length;
-        pos = i;
-      }
-    }
-
-    // Add class to parent <li>, and enclosing <li> if in dropdown
-    if (pos >= 0) {
-      var menu_anchor = $(links[pos]);
-      menu_anchor.parent().addClass("active");
-      menu_anchor.closest("li.dropdown").addClass("active");
-    }
-  });
-
-  function paths(pathname) {
-    var pieces = pathname.split("/");
-    pieces.shift(); // always starts with /
-
-    var end = pieces[pieces.length - 1];
-    if (end === "index.html" || end === "")
-      pieces.pop();
-    return(pieces);
-  }
-
-  // Returns -1 if not found
-  function prefix_length(needle, haystack) {
-    if (needle.length > haystack.length)
-      return(-1);
-
-    // Special case for length-0 haystack, since for loop won't run
-    if (haystack.length === 0) {
-      return(needle.length === 0 ? 0 : -1);
+    if ($('#toc').length) {
+      $('body').scrollspy({
+        target: '#toc',
+        offset: $("nav.navbar").outerHeight() + 1
+      });
     }
 
-    for (var i = 0; i < haystack.length; i++) {
-      if (needle[i] != haystack[i])
-        return(i);
-    }
+    // Activate popovers
+    $('[data-bs-toggle="popover"]').popover({
+      container: 'body',
+      html: true,
+      trigger: 'focus',
+      placement: "top",
+      sanitize: false,
+    });
 
-    return(haystack.length);
-  }
+    $('[data-bs-toggle="tooltip"]').tooltip();
 
   /* Clipboard --------------------------*/
 
   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
   }
 
   if(ClipboardJS.isSupported()) {
     $(document).ready(function() {
-      var copyButton = "<button type='button' class='btn btn-primary btn-copy-ex' type = 'submit' title='Copy to clipboard' aria-label='Copy to clipboard' data-toggle='tooltip' data-placement='left auto' data-trigger='hover' data-clipboard-copy><i class='fa fa-copy'></i></button>";
+      var copyButton = "<button type='button' class='btn btn-primary btn-copy-ex' title='Copy to clipboard' aria-label='Copy to clipboard' data-toggle='tooltip' data-placement='left' data-trigger='hover' data-clipboard-copy><i class='fa fa-copy'></i></button>";
 
       $("div.sourceCode").addClass("hasCopyButton");
 
@@ -89,20 +49,106 @@
       $('.btn-copy-ex').tooltip({container: 'body'});
 
       // Initialize clipboard:
-      var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', {
+      var clipboard = new ClipboardJS('[data-clipboard-copy]', {
         text: function(trigger) {
           return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, "");
         }
       });
 
-      clipboardBtnCopies.on('success', function(e) {
+      clipboard.on('success', function(e) {
         changeTooltipMessage(e.trigger, 'Copied!');
         e.clearSelection();
       });
 
-      clipboardBtnCopies.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
+
     });
   }
+
+    /* Search marking --------------------------*/
+    var url = new URL(window.location.href);
+    var toMark = url.searchParams.get("q");
+    var mark = new Mark("main#main");
+    if (toMark) {
+      mark.mark(toMark, {
+        accuracy: {
+          value: "complementary",
+          limiters: [",", ".", ":", "/"],
+        }
+      });
+    }
+
+  /* Search --------------------------*/
+  /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */
+    // Initialise search index on focus
+  var fuse;
+  $("#search-input").focus(async function(e) {
+    if (fuse) {
+      return;
+    }
+
+    $(e.target).addClass("loading");
+    var response = await fetch($("#search-input").data("search-index"));
+    var data = await response.json();
+
+    var options = {
+      keys: ["what", "text", "code"],
+      ignoreLocation: true,
+      threshold: 0.1,
+      includeMatches: true,
+      includeScore: true,
+    };
+    fuse = new Fuse(data, options);
+
+    $(e.target).removeClass("loading");
+  });
+
+  // Use algolia autocomplete
+  var options = {
+    autoselect: true,
+    debug: true,
+    hint: false,
+    minLength: 2,
+  };
+  var q;
+async function searchFuse(query, callback) {
+  await fuse;
+
+  var items;
+  if (!fuse) {
+    items = [];
+  } else {
+    q = query;
+    var results = fuse.search(query, { limit: 20 });
+    items = results
+      .filter((x) => x.score <= 0.75)
+      .map((x) => x.item);
+    if (items.length === 0) {
+      items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}];
+    }
+  }
+  callback(items);
+}
+  $("#search-input").autocomplete(options, [
+    {
+      name: "content",
+      source: searchFuse,
+      templates: {
+        suggestion: (s) => {
+          if (s.title == s.what) {
+            return `${s.dir} >	<div class="search-details"> ${s.title}</div>`;
+          } else if (s.previous_headings == "") {
+            return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.what}`;
+          } else {
+            return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.previous_headings} > ${s.what}`;
+          }
+        },
+      },
+    },
+  ]).on('autocomplete:selected', function(event, s) {
+    window.location.href = s.path + "?q=" + q + "#" + s.id;
+  });
+  });
 })(window.jQuery || window.$)
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 7653385..7dfeb96 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -1,18 +1,19 @@
 pandoc: 3.1.1
-pkgdown: 2.0.7
+pkgdown: 2.1.0
 pkgdown_sha: ~
 articles:
   check_poisson: check_poisson.html
-  gsm_perf: gsm_perf.html
+  funnel_perf: funnel_perf.html
+  inframe: inframe.html
   intro: intro.html
   over: over.html
+  performance: performance.html
   portfolio_perf: portfolio_perf.html
   sas_files: sas_files.html
   usability_limits: usability_limits.html
   visit_med75: visit_med75.html
   visits_or_days: visits_or_days.html
-last_built: 2024-02-28T14:04Z
+last_built: 2024-09-24T15:41Z
 urls:
   reference: https://openpharma.github.io/simaerep/reference
   article: https://openpharma.github.io/simaerep/articles
-
diff --git a/docs/reference/Rplot002.png b/docs/reference/Rplot002.png
index 4ba7ebc..549c530 100644
Binary files a/docs/reference/Rplot002.png and b/docs/reference/Rplot002.png differ
diff --git a/docs/reference/aggr_duplicated_visits.html b/docs/reference/aggr_duplicated_visits.html
index 6d5a32d..3b6837d 100644
--- a/docs/reference/aggr_duplicated_visits.html
+++ b/docs/reference/aggr_duplicated_visits.html
@@ -1,145 +1,97 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Aggregate duplicated visits. — aggr_duplicated_visits • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate duplicated visits. — aggr_duplicated_visits"><meta property="og:description" content="Internal function called by check_df_visit()."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Aggregate duplicated visits. — aggr_duplicated_visits • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate duplicated visits. — aggr_duplicated_visits"><meta name="description" content="Internal function called by check_df_visit()."><meta property="og:description" content="Internal function called by check_df_visit()."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
   window.dataLayer = window.dataLayer || [];
   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
 
   gtag('config', 'UA-123997499-2');
-</script></head><body data-spy="scroll" data-target="#toc">
-    
-
-    <div class="container template-reference-topic">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
-    <div class="navbar-header">
-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
-        <span class="sr-only">Toggle navigation</span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-        <span class="icon-bar"></span>
-      </button>
-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
-      </span>
-    </div>
-
-    <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav"><li>
-  <a href="../index.html">
-    <span class="fas fa-home fa-lg"></span>
-     
-  </a>
-</li>
-<li>
-  <a href="../articles/intro.html">Get Started</a>
-</li>
-<li>
-  <a href="../reference/index.html">Reference</a>
-</li>
-<li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
-    Articles
-     
-    <span class="caret"></span>
-  </a>
-  <ul class="dropdown-menu" role="menu"><li>
-      <a href="../articles/intro.html">Introduction</a>
-    </li>
-    <li>
-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
+
+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
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-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Aggregate duplicated visits.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>aggr_duplicated_visits.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Aggregate duplicated visits.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>aggr_duplicated_visits.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function called by <a href="check_df_visit.html">check_df_visit()</a>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">aggr_duplicated_visits</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe with columns: study_id, site_number, patnum, visit,
 n_ae</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>df_visit corrected</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>df_visit corrected</p>
     </div>
 
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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-      </footer></div>
+    </footer></div>
+
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/reference/check_df_visit.html b/docs/reference/check_df_visit.html
index 0fe1765..38647f7 100644
--- a/docs/reference/check_df_visit.html
+++ b/docs/reference/check_df_visit.html
@@ -1,130 +1,88 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Integrity check for df_visit. — check_df_visit • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Integrity check for df_visit. — check_df_visit"><meta property="og:description" content="Internal function used by all functions that accept df_visit as a parameter.
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Integrity check for df_visit. — check_df_visit • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Integrity check for df_visit. — check_df_visit"><meta name="description" content="Internal function used by all functions that accept df_visit as a parameter.
 Checks for NA columns, numeric visits and AEs, implicitly missing and
-duplicated visits."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+duplicated visits."><meta property="og:description" content="Internal function used by all functions that accept df_visit as a parameter.
+Checks for NA columns, numeric visits and AEs, implicitly missing and
+duplicated visits."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-      <a href="../articles/sas_files.html">SAS Files as a Data Source</a>
-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+    </button>
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
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-  <a href="../news/index.html">Changelog</a>
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-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Integrity check for df_visit.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>check_df_visit.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Integrity check for df_visit.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>check_df_visit.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by all functions that accept df_visit as a parameter.
 Checks for NA columns, numeric visits and AEs, implicitly missing and
 duplicated visits.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">check_df_visit</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe with columns: study_id, site_number, patnum, visit,
 n_ae</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>corrected df_visit</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>corrected df_visit</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
@@ -152,27 +110,23 @@ <h2>Examples</h2>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
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@@ -1,136 +1,92 @@
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-    <h1>Evaluate sites.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>eval_sites.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Evaluate sites.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>eval_sites.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Correct under-reporting probabilities using  <code><a href="https://rdrr.io/r/stats/p.adjust.html" class="external-link">p.adjust</a></code>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">eval_sites</span><span class="op">(</span><span class="va">df_sim_sites</span>, method <span class="op">=</span> <span class="st">"BH"</span>, under_only <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_sim_sites</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-sim-sites">df_sim_sites<a class="anchor" aria-label="anchor" href="#arg-df-sim-sites"></a></dt>
 <dd><p>dataframe generated by <code><a href="sim_sites.html">sim_sites</a></code></p></dd>
 
 
-<dt>method</dt>
+<dt id="arg-method">method<a class="anchor" aria-label="anchor" href="#arg-method"></a></dt>
 <dd><p>character, passed to stats::p.adjust(), if NULL
 eval_sites_deprecated() is used instead, Default = "BH"</p></dd>
 
 
-<dt>under_only</dt>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
 <dd><p>compute under-reporting probabilities only, default = TRUE
 <a href="check_df_visit.html">check_df_visit()</a>, computationally expensive on large data
 sets. Default: TRUE</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>use to pass r_sim_sites parameter to eval_sites_deprecated()</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
 
 <dt><strong>site_number</strong></dt>
@@ -166,15 +122,15 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="site_aggr.html">site_aggr</a></code>,
 <code><a href="sim_sites.html">sim_sites</a></code>,
 <code><a href="https://rdrr.io/r/stats/p.adjust.html" class="external-link">p.adjust</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>    frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -187,9 +143,9 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_eval</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 14</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0002          20               16          16               2.75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0001          20               16          15               2.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001          20               16          15               2.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002          20               16          16               2.75</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               19          15               6.37</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004          20               16          16               7.81</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005          20               17          16               8.59</span>
@@ -203,7 +159,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_eval</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 19</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0002          20               16          16               2.75</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0001          20               16          15               2.62</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               19          15               6.37</span>
@@ -216,27 +172,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 </code></pre></div>
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-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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index f30c540..0b813e4 100644
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@@ -1,130 +1,88 @@
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-    <h1>Evaluate sites.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>eval_sites_deprecated.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Evaluate sites.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>eval_sites_deprecated.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Correct under-reporting probabilities by the expected number of
 false positives (fp). This has been deprecated in favor of more conventional
 methods available via <code><a href="https://rdrr.io/r/stats/p.adjust.html" class="external-link">p.adjust</a></code>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">eval_sites_deprecated</span><span class="op">(</span><span class="va">df_sim_sites</span>, <span class="va">r_sim_sites</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_sim_sites</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-sim-sites">df_sim_sites<a class="anchor" aria-label="anchor" href="#arg-df-sim-sites"></a></dt>
 <dd><p>dataframe generated by <code><a href="sim_sites.html">sim_sites()</a></code></p></dd>
 
 
-<dt>r_sim_sites</dt>
+<dt id="arg-r-sim-sites">r_sim_sites<a class="anchor" aria-label="anchor" href="#arg-r-sim-sites"></a></dt>
 <dd><p>integer, number of repeats for bootstrap resampling for site
 simulation, needed for zero probability correction for fp calculation, Default: 1000</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
 
 <dt><strong>site_number</strong></dt>
@@ -174,19 +132,19 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>If by chance expected number of
 false positives (fp) is greater than the total number of positives (p) we
 set p_vs_fp_ratio = 1 and prob_ur = 0.</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="site_aggr.html">site_aggr()</a></code>, <code><a href="sim_sites.html">sim_sites()</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>    frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -199,7 +157,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_eval</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 19</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0002          20               17          18               3.94</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0001          20               18          16               3.39</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               18          17              10.2 </span>
@@ -212,27 +170,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 </code></pre></div>
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-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
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+<div class="pkgdown-footer-right">
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diff --git a/docs/reference/exp_implicit_missing_visits.html b/docs/reference/exp_implicit_missing_visits.html
index 4c2c72e..73e313c 100644
--- a/docs/reference/exp_implicit_missing_visits.html
+++ b/docs/reference/exp_implicit_missing_visits.html
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-    <h1>Expose implicitly missing visits.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>exp_implicit_missing_visits.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Expose implicitly missing visits.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>exp_implicit_missing_visits.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function called by <a href="check_df_visit.html">check_df_visit()</a>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">exp_implicit_missing_visits</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe with columns: study_id, site_number, patnum, visit,
 n_ae</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>df_visit corrected</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>df_visit corrected</p>
     </div>
 
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diff --git a/docs/reference/get_config.html b/docs/reference/get_config.html
index ca8d27a..34d2c50 100644
--- a/docs/reference/get_config.html
+++ b/docs/reference/get_config.html
@@ -1,107 +1,66 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Get Portfolio Configuration — get_config • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Get Portfolio Configuration — get_config"><meta property="og:description" content="Get Portfolio configuration from a dataframe aggregated on
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Get Portfolio Configuration — get_config • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Get Portfolio Configuration — get_config"><meta name="description" content="Get Portfolio configuration from a dataframe aggregated on
 patient level with max_ae and max_visit. Will filter studies with only a few
 sites and patients and will anonymize IDs. Portfolio configuration can be
 used by sim_test_data_portfolio to generate data for an
-artificial portfolio."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+artificial portfolio."><meta property="og:description" content="Get Portfolio configuration from a dataframe aggregated on
+patient level with max_ae and max_visit. Will filter studies with only a few
+sites and patients and will anonymize IDs. Portfolio configuration can be
+used by sim_test_data_portfolio to generate data for an
+artificial portfolio."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Get Portfolio Configuration</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>get_config.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get Portfolio Configuration</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>get_config.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Get Portfolio configuration from a dataframe aggregated on
 patient level with max_ae and max_visit. Will filter studies with only a few
 sites and patients and will anonymize IDs. Portfolio configuration can be
@@ -109,7 +68,8 @@ <h1>Get Portfolio Configuration</h1>
 artificial portfolio.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_config</span><span class="op">(</span></span>
 <span>  <span class="va">df_site</span>,</span>
 <span>  min_pat_per_study <span class="op">=</span> <span class="fl">100</span>,</span>
@@ -119,33 +79,33 @@ <h1>Get Portfolio Configuration</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_site</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe aggregated on patient level with max_ae and max_visit</p></dd>
 
 
-<dt>min_pat_per_study</dt>
+<dt id="arg-min-pat-per-study">min_pat_per_study<a class="anchor" aria-label="anchor" href="#arg-min-pat-per-study"></a></dt>
 <dd><p>minimum number of patients per study, Default: 100</p></dd>
 
 
-<dt>min_sites_per_study</dt>
+<dt id="arg-min-sites-per-study">min_sites_per_study<a class="anchor" aria-label="anchor" href="#arg-min-sites-per-study"></a></dt>
 <dd><p>minimum number of sites per study, Default: 10</p></dd>
 
 
-<dt>anonymize</dt>
+<dt id="arg-anonymize">anonymize<a class="anchor" aria-label="anchor" href="#arg-anonymize"></a></dt>
 <dd><p>logical, Default: TRUE</p></dd>
 
 
-<dt>pad_width</dt>
+<dt id="arg-pad-width">pad_width<a class="anchor" aria-label="anchor" href="#arg-pad-width"></a></dt>
 <dd><p>padding width for newly created IDs, Default: 4</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
  <dt><strong>ae_per_visit_mean</strong></dt>
 <dd><p>mean
@@ -161,10 +121,10 @@ <h2>Value</h2>
 
 <dt><strong>n_pat</strong></dt>
 <dd><p>number of patients</p></dd>
- 
+
 </dl></div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_test_data_study.html">sim_test_data_study</a></code>
 <code>get_config</code>
 <code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio</a></code>
@@ -172,8 +132,8 @@ <h2>See also</h2>
 <code><a href="get_portf_perf.html">get_portf_perf</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
 <span class="r-in"><span>                                 frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
@@ -251,22 +211,23 @@ <h2>Examples</h2>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_scen</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 140 × 14</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001           10                9          14               5.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001           10                9          14               2.89</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001           10                9          14               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001           10                9          14               2.89</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001           10                9          14               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001           10                9          14               2.89</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001           10                9          14               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002           10                9          15               5.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002           10                9          15               2.89</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002           10                9          15               0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001                     0           0          0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001                     0           0.098<span style="text-decoration: underline;">9</span>     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001                     0           0.098<span style="text-decoration: underline;">9</span>     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001                     1           0.199      0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001                     1           0.199      1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001                     2           0.299      0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001                     2           0.299      1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002                     0           0          0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002                     0           0.107      0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002                     0           0.107      1      10</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 130 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   extra_ur_sites &lt;dbl&gt;, frac_pat_with_ur &lt;dbl&gt;, ur_rate &lt;dbl&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;, prob_low_prob_ur &lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_ae_site_med75 &lt;dbl&gt;, mean_ae_study_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   n_pat_with_med75_study &lt;int&gt;, prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu"><a href="get_portf_perf.html">get_portf_perf</a></span><span class="op">(</span><span class="va">df_scen</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -274,41 +235,37 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 27 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      fpr thresh extra_ur_sites ur_rate   tpr</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.925              0     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.925              1     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.925              2     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.925              0     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.925              1     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.925              2     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.925              0     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.925              1     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.925              2     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.920              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001   0.53              0     0     0.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001   0.53              1     0     0.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001   0.53              2     0     0.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001   0.53              0     0.5   1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001   0.53              1     0.5   1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001   0.53              2     0.5   1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001   0.53              0     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001   0.53              1     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001   0.53              2     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01    0.53              0     0     0.2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 17 more rows</span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/docs/reference/get_ecd_values.html b/docs/reference/get_ecd_values.html
index 0d1a6a2..707ed75 100644
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+++ b/docs/reference/get_ecd_values.html
@@ -1,134 +1,94 @@
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-    <h1>Get empirical cumulative distribution values of pval or prob_lower</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>get_ecd_values.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get empirical cumulative distribution values of pval or prob_lower</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>get_ecd_values.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Test function, test applicability of poisson test, by calculating</p><ul><li><p>the bootstrapped probability of obtaining a specific p-value or lower, use
 in combination with <code><a href="sim_studies.html">sim_studies()</a></code>.</p></li>
 </ul></div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_ecd_values</span><span class="op">(</span><span class="va">df_sim_studies</span>, <span class="va">df_sim_sites</span>, <span class="va">val_str</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_sim_studies</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-sim-studies">df_sim_studies<a class="anchor" aria-label="anchor" href="#arg-df-sim-studies"></a></dt>
 <dd><p>dataframe, generated by <code><a href="sim_studies.html">sim_studies()</a></code></p></dd>
 
 
-<dt>df_sim_sites</dt>
+<dt id="arg-df-sim-sites">df_sim_sites<a class="anchor" aria-label="anchor" href="#arg-df-sim-sites"></a></dt>
 <dd><p>dataframe, generated by <code><a href="sim_sites.html">sim_sites()</a></code></p></dd>
 
 
-<dt>val_str</dt>
+<dt id="arg-val-str">val_str<a class="anchor" aria-label="anchor" href="#arg-val-str"></a></dt>
 <dd><p>c("prob_low","pval")</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
 
 <dt><strong>site_number</strong></dt>
@@ -151,14 +111,14 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>trains a ecdf function for each studies based on the results
 of <code><a href="sim_studies.html">sim_studies()</a></code></p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>    frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.3</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -179,7 +139,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="fu">get_ecd_values</span><span class="op">(</span><span class="va">df_sim_studies</span>, <span class="va">df_sim_sites</span>, <span class="st">"prob_low"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 11</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001          20               18          17               5.89</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002          20               18          15               5.5 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               17          16               8.53</span>
@@ -190,7 +150,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="fu">get_ecd_values</span><span class="op">(</span><span class="va">df_sim_studies</span>, <span class="va">df_sim_sites</span>, <span class="st">"pval"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 11</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001          20               18          17               5.89</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002          20               18          15               5.5 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               17          16               8.53</span>
@@ -200,27 +160,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   pval &lt;dbl&gt;, prob_low &lt;dbl&gt;, pval_ecd &lt;dbl&gt;</span></span>
 </code></pre></div>
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-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/docs/reference/get_legend.html b/docs/reference/get_legend.html
index edfdd6d..2a3ee6f 100644
--- a/docs/reference/get_legend.html
+++ b/docs/reference/get_legend.html
@@ -1,137 +1,86 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>replace cowplot::get_legend, to silence warning
-Multiple components found; returning the first one. To return all, use `return_all = TRUE — get_legend • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="replace cowplot::get_legend, to silence warning
-Multiple components found; returning the first one. To return all, use `return_all = TRUE — get_legend"><meta property="og:description" content="replace cowplot::get_legend, to silence warning
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+Multiple components found; returning the first one. To return all, use `return_all = TRUE"><meta property="og:description" content="replace cowplot::get_legend, to silence warning
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-    <h1>replace cowplot::get_legend, to silence warning
-Multiple components found; returning the first one. To return all, use `return_all = TRUE</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>get_legend.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>replace cowplot::get_legend, to silence warning Multiple components found; returning the first one. To return all, use `return_all = TRUE</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>get_legend.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>replace cowplot::get_legend, to silence warning
 Multiple components found; returning the first one. To return all, use `return_all = TRUE</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_legend</span><span class="op">(</span><span class="va">p</span><span class="op">)</span></span></code></pre></div>
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diff --git a/docs/reference/get_pat_pool_config.html b/docs/reference/get_pat_pool_config.html
index 4b66ad0..49a254c 100644
--- a/docs/reference/get_pat_pool_config.html
+++ b/docs/reference/get_pat_pool_config.html
@@ -1,139 +1,95 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Configure study patient pool by site parameters. — get_pat_pool_config • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Configure study patient pool by site parameters. — get_pat_pool_config"><meta property="og:description" content="Internal Function used by sim_sites()"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <h1>Configure study patient pool by site parameters.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>get_pat_pool_config.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Configure study patient pool by site parameters.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>get_pat_pool_config.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal Function used by <code><a href="sim_sites.html">sim_sites()</a></code></p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_pat_pool_config</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_site</span>, min_n_pat_with_med75 <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe</p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe as created by site_aggr()</p></dd>
 
 
-<dt>min_n_pat_with_med75</dt>
+<dt id="arg-min-n-pat-with-med-">min_n_pat_with_med75<a class="anchor" aria-label="anchor" href="#arg-min-n-pat-with-med-"></a></dt>
 <dd><p>minimum number of patients with visit_med_75 for
 simulation, Default: 1</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>For simulating a study we need to configure the study patient
 pool to match the configuration of the sites</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>                                      frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -153,7 +109,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_config</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 8 × 6</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number visit_med75 n_pat_with_med75 n_pat_study pat_pool</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001                15               19          71 <span style="color: #949494;">&lt;tibble&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                15               18          72 <span style="color: #949494;">&lt;tibble&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003                16               17          66 <span style="color: #949494;">&lt;tibble&gt;</span></span>
@@ -164,27 +120,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">8</span> B        S0003                15              301         603 <span style="color: #949494;">&lt;tibble&gt;</span></span>
 </code></pre></div>
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+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/docs/reference/get_portf_perf.html b/docs/reference/get_portf_perf.html
index 839363a..5ab2ada 100644
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+++ b/docs/reference/get_portf_perf.html
@@ -1,147 +1,104 @@
 <!DOCTYPE html>
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+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
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-</li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
 
-      
 
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Get Portfolio Performance</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>get_portf_perf.Rd</code></div>
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get Portfolio Performance</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>get_portf_perf.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Performance as true positive rate (tpr as tp/P) on the basis of
 desired false positive rates (fpr as fp/P).</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_portf_perf</span><span class="op">(</span><span class="va">df_scen</span>, stat <span class="op">=</span> <span class="st">"prob_low_prob_ur"</span>, fpr <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.001</span>, <span class="fl">0.01</span>, <span class="fl">0.05</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_scen</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-scen">df_scen<a class="anchor" aria-label="anchor" href="#arg-df-scen"></a></dt>
 <dd><p>dataframe as returned by <code><a href="sim_ur_scenarios.html">sim_ur_scenarios</a></code></p></dd>
 
 
-<dt>stat</dt>
+<dt id="arg-stat">stat<a class="anchor" aria-label="anchor" href="#arg-stat"></a></dt>
 <dd><p>character denoting the column name of the under-reporting
 statistic, Default: 'prob_low_prob_ur'</p></dd>
 
 
-<dt>fpr</dt>
+<dt id="arg-fpr">fpr<a class="anchor" aria-label="anchor" href="#arg-fpr"></a></dt>
 <dd><p>numeric vector specifying false positive rates, Default: c(0.001,
 0.01, 0.05)</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>DETAILS</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_test_data_study.html">sim_test_data_study</a></code> <code><a href="get_config.html">get_config</a></code>
 <code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio</a></code> <code><a href="sim_ur_scenarios.html">sim_ur_scenarios</a></code>
 <code>get_portf_perf</code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
 <span class="r-in"><span>                                 frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
@@ -219,22 +176,23 @@ <h2>Examples</h2>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_scen</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 140 × 14</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001           10               10          15               5.1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001           10               10          15               2.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001           10               10          15               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001           10               10          15               2.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001           10               10          15               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001           10               10          15               2.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001           10               10          15               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002           10               10          16               6.5 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002           10               10          16               3.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002           10               10          16               0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001                     0            0.111     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001                     0            0.111     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001                     1            0.211     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001                     1            0.211     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001                     2            0.311     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001                     2            0.311     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002                     0            0.120     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002                     0            0.120     1      10</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 130 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   extra_ur_sites &lt;dbl&gt;, frac_pat_with_ur &lt;dbl&gt;, ur_rate &lt;dbl&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;, prob_low_prob_ur &lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_ae_site_med75 &lt;dbl&gt;, mean_ae_study_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   n_pat_with_med75_study &lt;int&gt;, prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu">get_portf_perf</span><span class="op">(</span><span class="va">df_scen</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -242,41 +200,37 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 27 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      fpr thresh extra_ur_sites ur_rate   tpr</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.983              0     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.983              1     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.983              2     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.983              0     0.5  0.95</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.983              1     0.5  0.95</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.983              2     0.5  0.9 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.983              0     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.983              1     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.983              2     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.963              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.872              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.872              1     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.872              2     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.872              0     0.5  1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.872              1     0.5  0.95</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.872              2     0.5  0.95</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.872              0     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.872              1     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.872              2     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.799              0     0    0.05</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 17 more rows</span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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+    </footer></div>
+
 
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-  
 
   </body></html>
 
diff --git a/docs/reference/get_site_mean_ae_dev.html b/docs/reference/get_site_mean_ae_dev.html
index 3ba87ca..9fe8bc4 100644
--- a/docs/reference/get_site_mean_ae_dev.html
+++ b/docs/reference/get_site_mean_ae_dev.html
@@ -1,154 +1,107 @@
 <!DOCTYPE html>
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+returns mean AE development from visit 0 to visit_med75."><meta property="og:description" content="Internal function used by site_aggr(), plot_visit_med75(),
+returns mean AE development from visit 0 to visit_med75."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <h1>Get site mean ae development.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>get_site_mean_ae_dev.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Get site mean ae development.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>get_site_mean_ae_dev.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by <code><a href="site_aggr.html">site_aggr()</a></code>, <code><a href="plot_visit_med75.html">plot_visit_med75()</a></code>,
 returns mean AE development from visit 0 to visit_med75.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_site_mean_ae_dev</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_pat</span>, <span class="va">df_site</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe</p></dd>
 
 
-<dt>df_pat</dt>
+<dt id="arg-df-pat">df_pat<a class="anchor" aria-label="anchor" href="#arg-df-pat"></a></dt>
 <dd><p>dataframe as returned by pat_aggr()</p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe as returned by site_aggr()</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
 
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diff --git a/docs/reference/get_visit_med75.html b/docs/reference/get_visit_med75.html
index afea8d3..77bf395 100644
--- a/docs/reference/get_visit_med75.html
+++ b/docs/reference/get_visit_med75.html
@@ -1,154 +1,106 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Get visit_med75. — get_visit_med75 • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Get visit_med75. — get_visit_med75"><meta property="og:description" content="Internal function used by site_aggr()."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-    <h1>Get visit_med75.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>get_visit_med75.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+      <img src="../logo.png" class="logo" alt=""><h1>Get visit_med75.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>get_visit_med75.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by <code><a href="site_aggr.html">site_aggr()</a></code>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">get_visit_med75</span><span class="op">(</span><span class="va">df_pat</span>, method <span class="op">=</span> <span class="st">"med75_adj"</span>, min_pat_pool <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_pat</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-pat">df_pat<a class="anchor" aria-label="anchor" href="#arg-df-pat"></a></dt>
 <dd><p>dataframe as returned by <code><a href="pat_aggr.html">pat_aggr()</a></code></p></dd>
 
 
-<dt>method</dt>
+<dt id="arg-method">method<a class="anchor" aria-label="anchor" href="#arg-method"></a></dt>
 <dd><p>character, one of c("med75", "med75_adj") defining method for
 defining evaluation point visit_med75 (see details), Default: "med75_adj"</p></dd>
 
 
-<dt>min_pat_pool</dt>
+<dt id="arg-min-pat-pool">min_pat_pool<a class="anchor" aria-label="anchor" href="#arg-min-pat-pool"></a></dt>
 <dd><p>double, minimum ratio of available patients available for
 sampling. Determines maximum visit_med75 value see Details. Default: 0.2</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
 
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="contents col-md-9">
-    <div class="page-header">
-      <h1>Reference</h1>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-index">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Package index</h1>
     </div>
 
-    <table class="ref-index"><colgroup><col class="alias"><col class="title"></colgroup><tbody><tr><th colspan="2">
-          <h2 id="s-interface">S3 Interface <a href="#s-interface" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="simaerep.html">simaerep()</a></code> </p>
-        </td>
-        <td><p>create simaerep object</p></td>
-      </tr><tr><td>
-          <p><code><a href="plot.simaerep.html">plot(<i>&lt;simaerep&gt;</i>)</a></code> </p>
-        </td>
-        <td><p>plot AE under-reporting simulation results</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="main-functions">Main Functions <a href="#main-functions" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="site_aggr.html">site_aggr()</a></code> </p>
-        </td>
-        <td><p>Aggregate from visit to site level.</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_sites.html">sim_sites()</a></code> </p>
-        </td>
-        <td><p>Calculate prob_lower and poisson.test pvalue for study sites.</p></td>
-      </tr><tr><td>
-          <p><code><a href="eval_sites.html">eval_sites()</a></code> </p>
-        </td>
-        <td><p>Evaluate sites.</p></td>
-      </tr><tr><td>
-          <p><code><a href="plot_study.html">plot_study()</a></code> </p>
-        </td>
-        <td><p>Plot ae development of study and sites highlighting at risk sites.</p></td>
-      </tr><tr><td>
-          <p><code><a href="check_df_visit.html">check_df_visit()</a></code> </p>
-        </td>
-        <td><p>Integrity check for df_visit.</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="simulate-data">Simulate Data <a href="#simulate-data" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="sim_test_data_study.html">sim_test_data_study()</a></code> </p>
-        </td>
-        <td><p>simulate study test data</p></td>
-      </tr><tr><td>
-          <p><code><a href="get_config.html">get_config()</a></code> </p>
-        </td>
-        <td><p>Get Portfolio Configuration</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio()</a></code> </p>
-        </td>
-        <td><p>Simulate Portfolio Test Data</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="test-functions">Test Functions <a href="#test-functions" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p><p>These functions are intented to check simaerep performance.</p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="sim_studies.html">sim_studies()</a></code> </p>
-        </td>
-        <td><p>Simulate studies.</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_ur_scenarios.html">sim_ur_scenarios()</a></code> </p>
-        </td>
-        <td><p>Simulate Under-Reporting Scenarios</p></td>
-      </tr><tr><td>
-          <p><code><a href="get_portf_perf.html">get_portf_perf()</a></code> </p>
-        </td>
-        <td><p>Get Portfolio Performance</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="helper-functions">Helper Functions <a href="#helper-functions" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p><p>These functions are intended to be called by other functions.</p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="get_pat_pool_config.html">get_pat_pool_config()</a></code> </p>
-        </td>
-        <td><p>Configure study patient pool by site parameters.</p></td>
-      </tr><tr><td>
-          <p><code><a href="pat_pool.html">pat_pool()</a></code> </p>
-        </td>
-        <td><p>Create a study specific patient pool for sampling</p></td>
-      </tr><tr><td>
-          <p><code><a href="poiss_test_site_ae_vs_study_ae.html">poiss_test_site_ae_vs_study_ae()</a></code> </p>
-        </td>
-        <td><p>Poisson test for vector with site AEs vs vector with study AEs.</p></td>
-      </tr><tr><td>
-          <p><code><a href="prob_lower_site_ae_vs_study_ae.html">prob_lower_site_ae_vs_study_ae()</a></code> </p>
-        </td>
-        <td><p>Calculate bootstrapped probability for obtaining a lower site mean AE number.</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_test_data_patient.html">sim_test_data_patient()</a></code> </p>
-        </td>
-        <td><p>simulate patient ae reporting test data</p></td>
-      </tr><tr><td>
-          <p><code><a href="get_visit_med75.html">get_visit_med75()</a></code> </p>
-        </td>
-        <td><p>Get visit_med75.</p></td>
-      </tr><tr><td>
-          <p><code><a href="pat_aggr.html">pat_aggr()</a></code> </p>
-        </td>
-        <td><p>Aggregate visit to patient level.</p></td>
-      </tr><tr><td>
-          <p><code><a href="get_site_mean_ae_dev.html">get_site_mean_ae_dev()</a></code> </p>
-        </td>
-        <td><p>Get site mean ae development.</p></td>
-      </tr><tr><td>
-          <p><code><a href="aggr_duplicated_visits.html">aggr_duplicated_visits()</a></code> </p>
-        </td>
-        <td><p>Aggregate duplicated visits.</p></td>
-      </tr><tr><td>
-          <p><code><a href="exp_implicit_missing_visits.html">exp_implicit_missing_visits()</a></code> </p>
-        </td>
-        <td><p>Expose implicitly missing visits.</p></td>
-      </tr><tr><td>
-          <p><code><a href="prep_for_sim.html">prep_for_sim()</a></code> </p>
-        </td>
-        <td><p>Prepare data for simulation.</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_after_prep.html">sim_after_prep()</a></code> </p>
-        </td>
-        <td><p>Start simulation after preparation.</p></td>
-      </tr><tr><td>
-          <p><code><a href="get_ecd_values.html">get_ecd_values()</a></code> </p>
-        </td>
-        <td><p>Get empirical cumulative distribution values of pval or prob_lower</p></td>
-      </tr><tr><td>
-          <p><code><a href="purrr_bar.html">purrr_bar()</a></code> </p>
-        </td>
-        <td><p>Execute a purrr or furrr function with a progress
-bar.</p></td>
-      </tr><tr><td>
-          <p><code><a href="with_progress_cnd.html">with_progress_cnd()</a></code> </p>
-        </td>
-        <td><p>Conditional <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code>.</p></td>
-      </tr><tr><td>
-          <p><code><a href="sim_scenario.html">sim_scenario()</a></code> </p>
-        </td>
-        <td><p>simulate single scenario</p></td>
-      </tr><tr><td>
-          <p><code><a href="orivisit.html">orivisit()</a></code> </p>
-        </td>
-        <td><p>create orivisit object</p></td>
-      </tr><tr><td>
-          <p><code><a href="is_simaerep.html">is_simaerep()</a></code> </p>
-        </td>
-        <td><p>is simaerep class</p></td>
-      </tr><tr><td>
-          <p><code><a href="is_orivisit.html">is_orivisit()</a></code> </p>
-        </td>
-        <td><p>is orivisit class</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="deprecated">Deprecated <a href="#deprecated" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="eval_sites_deprecated.html">eval_sites_deprecated()</a></code> </p>
-        </td>
-        <td><p>Evaluate sites.</p></td>
-      </tr></tbody><tbody><tr><th colspan="2">
-          <h2 id="additional-plot-functions">Additional Plot Functions <a href="#additional-plot-functions" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p><p>These functions are intended for creating plots for the documentation.</p>
-        </th>
-      </tr></tbody><tbody><tr><td>
-          <p><code><a href="plot_visit_med75.html">plot_visit_med75()</a></code> </p>
-        </td>
-        <td><p>Plot patient visits against visit_med75.</p></td>
-      </tr><tr><td>
-          <p><code><a href="plot_sim_examples.html">plot_sim_examples()</a></code> </p>
-        </td>
-        <td><p>Plot multiple simulation examples.</p></td>
-      </tr><tr><td>
-          <p><code><a href="plot_sim_example.html">plot_sim_example()</a></code> </p>
-        </td>
-        <td><p>Plot simulation example.</p></td>
-      </tr><tr><td>
-          <p><code><a href="plot_dots.html">plot_dots()</a></code> </p>
-        </td>
-        <td><p>Plots AE per site as dots.</p></td>
-      </tr></tbody></table></div>
-
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+    <div class="section level2">
+      <h2 id="s-interface">S3 Interface<a class="anchor" aria-label="anchor" href="#s-interface"></a></h2>
+
+
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="simaerep.html">simaerep()</a></code>
+
+        </dt>
+        <dd>Create simaerep object</dd>
+      </dl><dl><dt>
+
+          <code><a href="plot.simaerep.html">plot(<i>&lt;simaerep&gt;</i>)</a></code>
+
+        </dt>
+        <dd>plot AE under-reporting simulation results</dd>
+      </dl></div><div class="section level2">
+      <h2 id="main-functions">Main Functions<a class="anchor" aria-label="anchor" href="#main-functions"></a></h2>
+
+
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="site_aggr.html">site_aggr()</a></code>
+
+        </dt>
+        <dd>Aggregate from visit to site level.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_sites.html">sim_sites()</a></code>
+
+        </dt>
+        <dd>Calculate prob_lower and poisson.test pvalue for study sites.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_inframe.html">sim_inframe()</a></code>
+
+        </dt>
+        <dd>Calculate prob_lower for study sites using table operations</dd>
+      </dl><dl><dt>
+
+          <code><a href="eval_sites.html">eval_sites()</a></code>
+
+        </dt>
+        <dd>Evaluate sites.</dd>
+      </dl><dl><dt>
+
+          <code><a href="prune_to_visit_med75_inframe.html">prune_to_visit_med75_inframe()</a></code>
+
+        </dt>
+        <dd>prune visits to visit_med75 using table operations</dd>
+      </dl><dl><dt>
+
+          <code><a href="plot_study.html">plot_study()</a></code>
+
+        </dt>
+        <dd>Plot ae development of study and sites highlighting at risk sites.</dd>
+      </dl><dl><dt>
+
+          <code><a href="check_df_visit.html">check_df_visit()</a></code>
+
+        </dt>
+        <dd>Integrity check for df_visit.</dd>
+      </dl></div><div class="section level2">
+      <h2 id="simulate-data">Simulate Data<a class="anchor" aria-label="anchor" href="#simulate-data"></a></h2>
+
+
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="sim_test_data_study.html">sim_test_data_study()</a></code>
+
+        </dt>
+        <dd>simulate study test data</dd>
+      </dl><dl><dt>
+
+          <code><a href="get_config.html">get_config()</a></code>
+
+        </dt>
+        <dd>Get Portfolio Configuration</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio()</a></code>
+
+        </dt>
+        <dd>Simulate Portfolio Test Data</dd>
+      </dl></div><div class="section level2">
+      <h2 id="test-functions">Test Functions<a class="anchor" aria-label="anchor" href="#test-functions"></a></h2>
+
+      <div class="section-desc"><p>These functions are intented to check simaerep performance.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="sim_studies.html">sim_studies()</a></code>
+
+        </dt>
+        <dd>Simulate studies.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_ur_scenarios.html">sim_ur_scenarios()</a></code>
+
+        </dt>
+        <dd>Simulate Under-Reporting Scenarios</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_ur.html">sim_ur()</a></code>
+
+        </dt>
+        <dd>simulate under-reporting</dd>
+      </dl><dl><dt>
+
+          <code><a href="get_portf_perf.html">get_portf_perf()</a></code>
+
+        </dt>
+        <dd>Get Portfolio Performance</dd>
+      </dl></div><div class="section level2">
+      <h2 id="helper-functions">Helper Functions<a class="anchor" aria-label="anchor" href="#helper-functions"></a></h2>
 
+      <div class="section-desc"><p>These functions are intended to be called by other functions.</p></div>
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="get_pat_pool_config.html">get_pat_pool_config()</a></code>
+
+        </dt>
+        <dd>Configure study patient pool by site parameters.</dd>
+      </dl><dl><dt>
+
+          <code><a href="pat_pool.html">pat_pool()</a></code>
+
+        </dt>
+        <dd>Create a study specific patient pool for sampling</dd>
+      </dl><dl><dt>
+
+          <code><a href="poiss_test_site_ae_vs_study_ae.html">poiss_test_site_ae_vs_study_ae()</a></code>
+
+        </dt>
+        <dd>Poisson test for vector with site AEs vs vector with study AEs.</dd>
+      </dl><dl><dt>
+
+          <code><a href="prob_lower_site_ae_vs_study_ae.html">prob_lower_site_ae_vs_study_ae()</a></code>
+
+        </dt>
+        <dd>Calculate bootstrapped probability for obtaining a lower site mean AE number.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_test_data_patient.html">sim_test_data_patient()</a></code>
+
+        </dt>
+        <dd>simulate patient ae reporting test data</dd>
+      </dl><dl><dt>
+
+          <code><a href="get_visit_med75.html">get_visit_med75()</a></code>
+
+        </dt>
+        <dd>Get visit_med75.</dd>
+      </dl><dl><dt>
+
+          <code><a href="pat_aggr.html">pat_aggr()</a></code>
+
+        </dt>
+        <dd>Aggregate visit to patient level.</dd>
+      </dl><dl><dt>
+
+          <code><a href="get_site_mean_ae_dev.html">get_site_mean_ae_dev()</a></code>
+
+        </dt>
+        <dd>Get site mean ae development.</dd>
+      </dl><dl><dt>
+
+          <code><a href="aggr_duplicated_visits.html">aggr_duplicated_visits()</a></code>
+
+        </dt>
+        <dd>Aggregate duplicated visits.</dd>
+      </dl><dl><dt>
+
+          <code><a href="exp_implicit_missing_visits.html">exp_implicit_missing_visits()</a></code>
+
+        </dt>
+        <dd>Expose implicitly missing visits.</dd>
+      </dl><dl><dt>
+
+          <code><a href="prep_for_sim.html">prep_for_sim()</a></code>
+
+        </dt>
+        <dd>Prepare data for simulation.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_after_prep.html">sim_after_prep()</a></code>
+
+        </dt>
+        <dd>Start simulation after preparation.</dd>
+      </dl><dl><dt>
+
+          <code><a href="get_ecd_values.html">get_ecd_values()</a></code>
+
+        </dt>
+        <dd>Get empirical cumulative distribution values of pval or prob_lower</dd>
+      </dl><dl><dt>
+
+          <code><a href="purrr_bar.html">purrr_bar()</a></code>
+
+        </dt>
+        <dd>Execute a purrr or furrr function with a progress bar.</dd>
+      </dl><dl><dt>
+
+          <code><a href="with_progress_cnd.html">with_progress_cnd()</a></code>
+
+        </dt>
+        <dd>Conditional <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code>.</dd>
+      </dl><dl><dt>
+
+          <code><a href="sim_scenario.html">sim_scenario()</a></code>
+
+        </dt>
+        <dd>simulate single scenario</dd>
+      </dl><dl><dt>
+
+          <code><a href="orivisit.html">orivisit()</a></code>
+
+        </dt>
+        <dd>create orivisit object</dd>
+      </dl><dl><dt>
+
+          <code><a href="is_simaerep.html">is_simaerep()</a></code>
+
+        </dt>
+        <dd>is simaerep class</dd>
+      </dl><dl><dt>
+
+          <code><a href="is_orivisit.html">is_orivisit()</a></code>
+
+        </dt>
+        <dd>is orivisit class</dd>
+      </dl><dl><dt>
+
+          <code><a href="max_rank.html">max_rank()</a></code>
+
+        </dt>
+        <dd>Calculate Max Rank</dd>
+      </dl></div><div class="section level2">
+      <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#deprecated"></a></h2>
+
+
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="eval_sites_deprecated.html">eval_sites_deprecated()</a></code>
+
+        </dt>
+        <dd>Evaluate sites.</dd>
+      </dl></div><div class="section level2">
+      <h2 id="additional-plot-functions">Additional Plot Functions<a class="anchor" aria-label="anchor" href="#additional-plot-functions"></a></h2>
+
+      <div class="section-desc"><p>These functions are intended for creating plots for the documentation.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
+
+      <dl><dt>
+
+          <code><a href="plot_visit_med75.html">plot_visit_med75()</a></code>
+
+        </dt>
+        <dd>Plot patient visits against visit_med75.</dd>
+      </dl><dl><dt>
+
+          <code><a href="plot_sim_examples.html">plot_sim_examples()</a></code>
+
+        </dt>
+        <dd>Plot multiple simulation examples.</dd>
+      </dl><dl><dt>
+
+          <code><a href="plot_sim_example.html">plot_sim_example()</a></code>
+
+        </dt>
+        <dd>Plot simulation example.</dd>
+      </dl><dl><dt>
+
+          <code><a href="plot_dots.html">plot_dots()</a></code>
+
+        </dt>
+        <dd>Plots AE per site as dots.</dd>
+      </dl></div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
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diff --git a/docs/reference/is_orivisit.html b/docs/reference/is_orivisit.html
index 1ec2512..f9d273f 100644
--- a/docs/reference/is_orivisit.html
+++ b/docs/reference/is_orivisit.html
@@ -1,144 +1,96 @@
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-
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>is orivisit class</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_orivisit.R" class="external-link"><code>R/S3_orivisit.R</code></a></small>
-    <div class="hidden name"><code>is_orivisit.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>is orivisit class</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_orivisit.R" class="external-link"><code>R/S3_orivisit.R</code></a></small>
+      <div class="d-none name"><code>is_orivisit.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>internal function</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">is_orivisit</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>x</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>object</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>logical</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>logical</p>
     </div>
 
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-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
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diff --git a/docs/reference/is_simaerep.html b/docs/reference/is_simaerep.html
index c465739..2ae3ae2 100644
--- a/docs/reference/is_simaerep.html
+++ b/docs/reference/is_simaerep.html
@@ -1,144 +1,96 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>is simaerep class — is_simaerep • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="is simaerep class — is_simaerep"><meta property="og:description" content="internal function"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <div class="hidden name"><code>is_simaerep.Rd</code></div>
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+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
+      <div class="d-none name"><code>is_simaerep.Rd</code></div>
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+    <div class="ref-description section level2">
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     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">is_simaerep</span><span class="op">(</span><span class="va">x</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>x</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>object</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>logical</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>logical</p>
     </div>
 
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diff --git a/docs/reference/max_rank.html b/docs/reference/max_rank.html
new file mode 100644
index 0000000..c673e32
--- /dev/null
+++ b/docs/reference/max_rank.html
@@ -0,0 +1,145 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Calculate Max Rank — max_rank • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate Max Rank — max_rank"><meta name="description" content='like rank() with ties.method = "max", works on tbl objects'><meta property="og:description" content='like rank() with ties.method = "max", works on tbl objects'><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'UA-123997499-2');
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+
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+
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
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+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate Max Rank</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/inframe.R" class="external-link"><code>R/inframe.R</code></a></small>
+      <div class="d-none name"><code>max_rank.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>like rank() with ties.method = "max", works on tbl objects</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">max_rank</span><span class="op">(</span><span class="va">df</span>, <span class="va">col</span>, <span class="va">col_new</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
+<dd><p>dataframe</p></dd>
+
+
+<dt id="arg-col">col<a class="anchor" aria-label="anchor" href="#arg-col"></a></dt>
+<dd><p>character column name to rank y</p></dd>
+
+
+<dt id="arg-col-new">col_new<a class="anchor" aria-label="anchor" href="#arg-col-new"></a></dt>
+<dd><p>character column name for rankings</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>this is needed for hochberg p value adjustment. We need to assign higher
+rank when multiple sites have same p value</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="fu">tibble</span><span class="fu">::</span><span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>s <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">2</span>, <span class="fl">5</span>, <span class="fl">10</span><span class="op">)</span><span class="op">)</span> <span class="op"><a href="pipe.html">%&gt;%</a></span></span></span>
+<span class="r-in"><span> <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>   rank <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rank.html" class="external-link">rank</a></span><span class="op">(</span><span class="va">s</span>, ties.method <span class="op">=</span> <span class="st">"max"</span><span class="op">)</span></span></span>
+<span class="r-in"><span> <span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">df</span> <span class="op"><a href="pipe.html">%&gt;%</a></span></span></span>
+<span class="r-in"><span> <span class="fu">max_rank</span><span class="op">(</span><span class="st">"s"</span>, <span class="st">"max_rank"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 6 × 3</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       s  rank max_rank</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span>     1     1        1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span>     5     5        5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span>    10     6        6</span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="co"># Database</span></span></span>
+<span class="r-in"><span><span class="va">con</span> <span class="op">&lt;-</span> <span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbConnect.html" class="external-link">dbConnect</a></span><span class="op">(</span><span class="fu">duckdb</span><span class="fu">::</span><span class="fu"><a href="https://r.duckdb.org/reference/duckdb.html" class="external-link">duckdb</a></span><span class="op">(</span><span class="op">)</span>, dbdir <span class="op">=</span> <span class="st">":memory:"</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df</span>, <span class="st">"df"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">max_rank</span><span class="op">(</span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"df"</span><span class="op">)</span>, <span class="st">"s"</span>, <span class="st">"max_rank"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Source:   SQL [6 x 3]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Database: DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       s  rank max_rank</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span>    10     6        6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span>     2     4        4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span>     1     1        1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">6</span>     5     5        5</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbDisconnect.html" class="external-link">dbDisconnect</a></span><span class="op">(</span><span class="va">con</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
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diff --git a/docs/reference/orivisit.html b/docs/reference/orivisit.html
index 5b9eed6..70f4a65 100644
--- a/docs/reference/orivisit.html
+++ b/docs/reference/orivisit.html
@@ -1,141 +1,98 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>create orivisit object — orivisit • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="create orivisit object — orivisit"><meta property="og:description" content="Internal S3 object, stores lazy reference to original visit
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-    <div class="page-header">
-    <h1>create orivisit object</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_orivisit.R" class="external-link"><code>R/S3_orivisit.R</code></a></small>
-    <div class="hidden name"><code>orivisit.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>create orivisit object</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_orivisit.R" class="external-link"><code>R/S3_orivisit.R</code></a></small>
+      <div class="d-none name"><code>orivisit.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal S3 object, stores lazy reference to original visit
 data.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">orivisit</span><span class="op">(</span><span class="va">df_visit</span>, call <span class="op">=</span> <span class="cn">NULL</span>, env <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sys.parent.html" class="external-link">parent.frame</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe with original visit data</p></dd>
 
 
-<dt>call</dt>
+<dt id="arg-call">call<a class="anchor" aria-label="anchor" href="#arg-call"></a></dt>
 <dd><p>optional, provide call, Default: NULL</p></dd>
 
 
-<dt>env</dt>
+<dt id="arg-env">env<a class="anchor" aria-label="anchor" href="#arg-env"></a></dt>
 <dd><p>optional, provide environment of original visit data, Default: parent.frame()</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>orivisit object</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>orivisit object</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Saves variable name of original visit data, checks whether it can be
 retrieved from parent environment and stores summary. Original data can be
 retrieved using as.data.frame(x).</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
@@ -149,12 +106,12 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">visit</span> <span class="op">&lt;-</span> <span class="fu">orivisit</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/object.size.html" class="external-link">object.size</a></span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 126128 bytes</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125288 bytes</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/object.size.html" class="external-link">object.size</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2288 bytes</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame</a></span><span class="op">(</span><span class="va">visit</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 1,970 × 9</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 1,956 × 9</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;lgl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>        <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> P000001 S0001       TRUE              20            4               0.2     1</span>
@@ -167,32 +124,28 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> P000001 S0001       TRUE              20            4               0.2     8</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> P000001 S0001       TRUE              20            4               0.2     9</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> P000001 S0001       TRUE              20            4               0.2    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 1,960 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 1,946 more rows</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 2 more variables: n_ae &lt;int&gt;, study_id &lt;chr&gt;</span></span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
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+<div class="pkgdown-footer-right">
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diff --git a/docs/reference/p_adjust_bh_inframe.html b/docs/reference/p_adjust_bh_inframe.html
new file mode 100644
index 0000000..96e4044
--- /dev/null
+++ b/docs/reference/p_adjust_bh_inframe.html
@@ -0,0 +1,83 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>benjamini hochberg p value correction using table operations — p_adjust_bh_inframe • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="benjamini hochberg p value correction using table operations — p_adjust_bh_inframe"><meta name="description" content="benjamini hochberg p value correction using table operations"><meta property="og:description" content="benjamini hochberg p value correction using table operations"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
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+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
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+      <img src="../logo.png" class="logo" alt=""><h1>benjamini hochberg p value correction using table operations</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/inframe.R" class="external-link"><code>R/inframe.R</code></a></small>
+      <div class="d-none name"><code>p_adjust_bh_inframe.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>benjamini hochberg p value correction using table operations</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">p_adjust_bh_inframe</span><span class="op">(</span><span class="va">df_eval</span>, <span class="va">col</span>, <span class="va">suffix</span><span class="op">)</span></span></code></pre></div>
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diff --git a/docs/reference/pat_aggr.html b/docs/reference/pat_aggr.html
index eb08abc..dfe17a6 100644
--- a/docs/reference/pat_aggr.html
+++ b/docs/reference/pat_aggr.html
@@ -1,146 +1,99 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Aggregate visit to patient level. — pat_aggr • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate visit to patient level. — pat_aggr"><meta property="og:description" content="Internal function used by site_aggr() and
-plot_visit_med75(), adds the maximum visit for each patient."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Aggregate visit to patient level. — pat_aggr • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate visit to patient level. — pat_aggr"><meta name="description" content="Internal function used by site_aggr() and
+plot_visit_med75(), adds the maximum visit for each patient."><meta property="og:description" content="Internal function used by site_aggr() and
+plot_visit_med75(), adds the maximum visit for each patient."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
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+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Aggregate visit to patient level.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>pat_aggr.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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+
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+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Aggregate visit to patient level.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>pat_aggr.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by <code><a href="site_aggr.html">site_aggr()</a></code> and
 <code><a href="plot_visit_med75.html">plot_visit_med75()</a></code>, adds the maximum visit for each patient.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">pat_aggr</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
 
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diff --git a/docs/reference/pat_pool.html b/docs/reference/pat_pool.html
index 9569fa3..b21d530 100644
--- a/docs/reference/pat_pool.html
+++ b/docs/reference/pat_pool.html
@@ -1,135 +1,94 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Create a study specific patient pool for sampling — pat_pool • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Create a study specific patient pool for sampling — pat_pool"><meta property="og:description" content="Internal function for sim_sites,
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Create a study specific patient pool for sampling — pat_pool • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create a study specific patient pool for sampling — pat_pool"><meta name="description" content="Internal function for sim_sites,
 filter all visits greater than max_visit_med75_study
 returns dataframe with one column for studies and one column with nested
-patient data."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+patient data."><meta property="og:description" content="Internal function for sim_sites,
+filter all visits greater than max_visit_med75_study
+returns dataframe with one column for studies and one column with nested
+patient data."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <h1>Create a study specific patient pool for sampling</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>pat_pool.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Create a study specific patient pool for sampling</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>pat_pool.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function for <code><a href="sim_sites.html">sim_sites</a></code>,
 filter all visits greater than max_visit_med75_study
 returns dataframe with one column for studies and one column with nested
 patient data.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">pat_pool</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_site</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe, created by <code><a href="sim_sites.html">sim_sites</a></code></p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe created by <code><a href="site_aggr.html">site_aggr</a></code></p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with nested pat_pool column</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with nested pat_pool column</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>  n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
@@ -150,27 +109,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        <span style="color: #949494;">&lt;tibble [1,637 × 3]&gt;</span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
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diff --git a/docs/reference/pipe.html b/docs/reference/pipe.html
index 175d768..7b0d52c 100644
--- a/docs/reference/pipe.html
+++ b/docs/reference/pipe.html
@@ -1,138 +1,88 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Pipe operator — %&gt;% • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Pipe operator — %&gt;%"><meta property="og:description" content="See magrittr::%&amp;gt;% for details."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <div class="hidden name"><code>pipe.Rd</code></div>
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+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/utils-pipe.R" class="external-link"><code>R/utils-pipe.R</code></a></small>
+      <div class="d-none name"><code>pipe.Rd</code></div>
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+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="va">lhs</span> <span class="op">%&gt;%</span> <span class="va">rhs</span></span></code></pre></div>
     </div>
 
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>returns output of rhs function</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>returns output of rhs function</p>
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+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>plot AE under-reporting simulation results</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
-    <div class="hidden name"><code>plot.simaerep.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>plot AE under-reporting simulation results</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
+      <div class="d-none name"><code>plot.simaerep.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>generic plot function for simaerep objects</p>
     </div>
 
-    <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for simaerep</span></span>
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for class 'simaerep'</span></span>
 <span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span></span>
 <span>  <span class="va">x</span>,</span>
 <span>  <span class="va">...</span>,</span>
@@ -114,54 +70,54 @@ <h1>plot AE under-reporting simulation results</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>x</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>simaerep object</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>additional parameters passed to <a href="plot_study.html">plot_study()</a> or
 <a href="plot_visit_med75.html">plot_visit_med75()</a></p></dd>
 
 
-<dt>study</dt>
+<dt id="arg-study">study<a class="anchor" aria-label="anchor" href="#arg-study"></a></dt>
 <dd><p>character specifying study to be plotted, Default: NULL</p></dd>
 
 
-<dt>what</dt>
+<dt id="arg-what">what<a class="anchor" aria-label="anchor" href="#arg-what"></a></dt>
 <dd><p>one of c("ur", "med75"), specifying whether to plot site AE
 under-reporting or visit_med75 values, Default: 'ur'</p></dd>
 
 
-<dt>n_sites</dt>
+<dt id="arg-n-sites">n_sites<a class="anchor" aria-label="anchor" href="#arg-n-sites"></a></dt>
 <dd><p>number of sites to plot, Default: 16</p></dd>
 
 
-<dt>df_visit</dt>
+<dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>optional, pass original visit data if it cannot be retrieved
 from parent environment, Default: NULL</p></dd>
 
 
-<dt>env</dt>
+<dt id="arg-env">env<a class="anchor" aria-label="anchor" href="#arg-env"></a></dt>
 <dd><p>optional, pass environment from which to retrieve original visit
 data, Default: parent.frame()</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot object</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot object</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>see <a href="plot_study.html">plot_study()</a> and
 <a href="plot_visit_med75.html">plot_visit_med75()</a></p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
@@ -188,27 +144,23 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-      </footer></div>
+    </footer></div>
+
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/reference/plot_dots-1.png b/docs/reference/plot_dots-1.png
index 15e197b..e8255d4 100644
Binary files a/docs/reference/plot_dots-1.png and b/docs/reference/plot_dots-1.png differ
diff --git a/docs/reference/plot_dots.html b/docs/reference/plot_dots.html
index 7c36095..f6a9eb1 100644
--- a/docs/reference/plot_dots.html
+++ b/docs/reference/plot_dots.html
@@ -1,107 +1,63 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plots AE per site as dots. — plot_dots • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plots AE per site as dots. — plot_dots"><meta property="og:description" content="This plot is meant to supplement the package documentation."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plots AE per site as dots. — plot_dots • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plots AE per site as dots. — plot_dots"><meta name="description" content="This plot is meant to supplement the package documentation."><meta property="og:description" content="This plot is meant to supplement the package documentation."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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   function gtag(){dataLayer.push(arguments);}
   gtag('js', new Date());
 
   gtag('config', 'UA-123997499-2');
-</script></head><body data-spy="scroll" data-target="#toc">
-    
-
-    <div class="container template-reference-topic">
-      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
-  <div class="container">
-    <div class="navbar-header">
-      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
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-      <span class="navbar-brand">
-        <a class="navbar-link" href="../index.html">simaerep</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="">0.4.3.900</span>
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-    </li>
-    <li>
-      <a href="../articles/portfolio_perf.html">simaerep Portfolio Performance</a>
-    </li>
-    <li>
-      <a href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a>
-    </li>
-    <li>
-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
-    </li>
-    <li>
-      <a href="../articles/check_poisson.html">Check Poisson Test Applicability</a>
-    </li>
-    <li>
-      <a href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a>
-    </li>
-    <li>
-      <a href="../articles/gsm_perf.html">Comparing {simaerep} and {gsm} Performance</a>
-    </li>
-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
-    </li>
+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
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+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Plots AE per site as dots.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>plot_dots.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plots AE per site as dots.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>plot_dots.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>This plot is meant to supplement the package documentation.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_dots</span><span class="op">(</span></span>
 <span>  <span class="va">df</span>,</span>
 <span>  nrow <span class="op">=</span> <span class="fl">10</span>,</span>
@@ -117,61 +73,61 @@ <h1>Plots AE per site as dots.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>dataframe, cols = c('site', 'patients', 'n_ae')</p></dd>
 
 
-<dt>nrow</dt>
+<dt id="arg-nrow">nrow<a class="anchor" aria-label="anchor" href="#arg-nrow"></a></dt>
 <dd><p>integer, number of rows, Default: 10</p></dd>
 
 
-<dt>ncols</dt>
+<dt id="arg-ncols">ncols<a class="anchor" aria-label="anchor" href="#arg-ncols"></a></dt>
 <dd><p>integer, number of columns, Default: 10</p></dd>
 
 
-<dt>col_group</dt>
+<dt id="arg-col-group">col_group<a class="anchor" aria-label="anchor" href="#arg-col-group"></a></dt>
 <dd><p>character, grouping column, Default: 'site'</p></dd>
 
 
-<dt>thresh</dt>
+<dt id="arg-thresh">thresh<a class="anchor" aria-label="anchor" href="#arg-thresh"></a></dt>
 <dd><p>numeric, threshold to determine color of mean_ae annotation, Default: NULL</p></dd>
 
 
-<dt>color_site_a</dt>
+<dt id="arg-color-site-a">color_site_a<a class="anchor" aria-label="anchor" href="#arg-color-site-a"></a></dt>
 <dd><p>character, hex color value, Default: '#BDBDBD'</p></dd>
 
 
-<dt>color_site_b</dt>
+<dt id="arg-color-site-b">color_site_b<a class="anchor" aria-label="anchor" href="#arg-color-site-b"></a></dt>
 <dd><p>character, hex color value, Default: '#757575'</p></dd>
 
 
-<dt>color_site_c</dt>
+<dt id="arg-color-site-c">color_site_c<a class="anchor" aria-label="anchor" href="#arg-color-site-c"></a></dt>
 <dd><p>character, hex color value, Default: 'gold3'</p></dd>
 
 
-<dt>color_high</dt>
+<dt id="arg-color-high">color_high<a class="anchor" aria-label="anchor" href="#arg-color-high"></a></dt>
 <dd><p>character, hex color value, Default: '#00695C'</p></dd>
 
 
-<dt>color_low</dt>
+<dt id="arg-color-low">color_low<a class="anchor" aria-label="anchor" href="#arg-color-low"></a></dt>
 <dd><p>character, hex color value, Default: '#25A69A'</p></dd>
 
 
-<dt>size_dots</dt>
+<dt id="arg-size-dots">size_dots<a class="anchor" aria-label="anchor" href="#arg-size-dots"></a></dt>
 <dd><p>integer, Default: 10</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot object</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot object</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">study</span> <span class="op">&lt;-</span> <span class="fu">tibble</span><span class="fu">::</span><span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  site <span class="op">=</span> <span class="va">LETTERS</span><span class="op">[</span><span class="fl">1</span><span class="op">:</span><span class="fl">3</span><span class="op">]</span>,</span></span>
 <span class="r-in"><span>  patients <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">50</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">40</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">10</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
@@ -183,27 +139,23 @@ <h2>Examples</h2>
 <span class="r-plt img"><img src="plot_dots-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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   </body></html>
 
diff --git a/docs/reference/plot_sim_example-1.png b/docs/reference/plot_sim_example-1.png
index 316507a..ac7ca58 100644
Binary files a/docs/reference/plot_sim_example-1.png and b/docs/reference/plot_sim_example-1.png differ
diff --git a/docs/reference/plot_sim_example.html b/docs/reference/plot_sim_example.html
index b23ae83..7d5f748 100644
--- a/docs/reference/plot_sim_example.html
+++ b/docs/reference/plot_sim_example.html
@@ -1,107 +1,63 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plot simulation example. — plot_sim_example • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plot simulation example. — plot_sim_example"><meta property="og:description" content="This plots supplements the package documentation."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Plot simulation example. — plot_sim_example • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Plot simulation example. — plot_sim_example"><meta name="description" content="This plots supplements the package documentation."><meta property="og:description" content="This plots supplements the package documentation."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Plot simulation example.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>plot_sim_example.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plot simulation example.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>plot_sim_example.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>This plots supplements the package documentation.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_sim_example</span><span class="op">(</span></span>
 <span>  substract_ae_per_pat <span class="op">=</span> <span class="fl">0</span>,</span>
 <span>  size_dots <span class="op">=</span> <span class="fl">10</span>,</span>
@@ -117,97 +73,93 @@ <h1>Plot simulation example.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>substract_ae_per_pat</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-substract-ae-per-pat">substract_ae_per_pat<a class="anchor" aria-label="anchor" href="#arg-substract-ae-per-pat"></a></dt>
 <dd><p>integer, subtract aes from patients at site C, Default: 0</p></dd>
 
 
-<dt>size_dots</dt>
+<dt id="arg-size-dots">size_dots<a class="anchor" aria-label="anchor" href="#arg-size-dots"></a></dt>
 <dd><p>integer, Default: 10</p></dd>
 
 
-<dt>size_raster_label</dt>
+<dt id="arg-size-raster-label">size_raster_label<a class="anchor" aria-label="anchor" href="#arg-size-raster-label"></a></dt>
 <dd><p>integer, Default: 12</p></dd>
 
 
-<dt>color_site_a</dt>
+<dt id="arg-color-site-a">color_site_a<a class="anchor" aria-label="anchor" href="#arg-color-site-a"></a></dt>
 <dd><p>character, hex color value, Default: '#BDBDBD'</p></dd>
 
 
-<dt>color_site_b</dt>
+<dt id="arg-color-site-b">color_site_b<a class="anchor" aria-label="anchor" href="#arg-color-site-b"></a></dt>
 <dd><p>character, hex color value, Default: '#757575'</p></dd>
 
 
-<dt>color_site_c</dt>
+<dt id="arg-color-site-c">color_site_c<a class="anchor" aria-label="anchor" href="#arg-color-site-c"></a></dt>
 <dd><p>character, hex color value, Default: 'gold3'</p></dd>
 
 
-<dt>color_high</dt>
+<dt id="arg-color-high">color_high<a class="anchor" aria-label="anchor" href="#arg-color-high"></a></dt>
 <dd><p>character, hex color value, Default: '#00695C'</p></dd>
 
 
-<dt>color_low</dt>
+<dt id="arg-color-low">color_low<a class="anchor" aria-label="anchor" href="#arg-color-low"></a></dt>
 <dd><p>character, hex color value, Default: '#25A69A'</p></dd>
 
 
-<dt>title</dt>
+<dt id="arg-title">title<a class="anchor" aria-label="anchor" href="#arg-title"></a></dt>
 <dd><p>logical, include title, Default: T</p></dd>
 
 
-<dt>legend</dt>
+<dt id="arg-legend">legend<a class="anchor" aria-label="anchor" href="#arg-legend"></a></dt>
 <dd><p>logical, include legend, Default: T</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>pass seed for simulations Default: 5</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>uses <code><a href="plot_dots.html">plot_dots()</a></code> and adds 2 simulation panels, uses made-up
 site config with three sites A,B,C simulating site C</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="https://wilkelab.org/cowplot/reference/get_legend.html" class="external-link">get_legend</a></code>,<code><a href="https://wilkelab.org/cowplot/reference/plot_grid.html" class="external-link">plot_grid</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="fu">plot_sim_example</span><span class="op">(</span>size_dots <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="plot_sim_example-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
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 </div>
 
-<div class="pkgdown">
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diff --git a/docs/reference/plot_sim_examples-1.png b/docs/reference/plot_sim_examples-1.png
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diff --git a/docs/reference/plot_sim_examples-2.png b/docs/reference/plot_sim_examples-2.png
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diff --git a/docs/reference/plot_sim_examples.html b/docs/reference/plot_sim_examples.html
index 0871caa..4370af3 100644
--- a/docs/reference/plot_sim_examples.html
+++ b/docs/reference/plot_sim_examples.html
@@ -1,137 +1,93 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plot multiple simulation examples. — plot_sim_examples • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plot multiple simulation examples. — plot_sim_examples"><meta property="og:description" content="This plot is meant to supplement the package documentation."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <h1>Plot multiple simulation examples.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>plot_sim_examples.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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+
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plot multiple simulation examples.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>plot_sim_examples.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>This plot is meant to supplement the package documentation.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_sim_examples</span><span class="op">(</span>substract_ae_per_pat <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>substract_ae_per_pat</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-substract-ae-per-pat">substract_ae_per_pat<a class="anchor" aria-label="anchor" href="#arg-substract-ae-per-pat"></a></dt>
 <dd><p>integer, Default: c(0, 1, 3)</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>parameters passed to plot_sim_example()</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>This function is a wrapper for plot_sim_example()</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="https://wilkelab.org/cowplot/reference/ggdraw.html" class="external-link">ggdraw</a></code>,<code><a href="https://wilkelab.org/cowplot/reference/draw_label.html" class="external-link">draw_label</a></code>,<code><a href="https://wilkelab.org/cowplot/reference/plot_grid.html" class="external-link">plot_grid</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="fu">plot_sim_examples</span><span class="op">(</span>size_dot <span class="op">=</span> <span class="fl">3</span>, size_raster_label <span class="op">=</span> <span class="fl">10</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="plot_sim_examples-1.png" alt="" width="700" height="433"></span>
@@ -140,27 +96,23 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
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-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/reference/plot_study-1.png b/docs/reference/plot_study-1.png
index a3edc27..fbfa662 100644
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index c244bf0..ff62400 100644
--- a/docs/reference/plot_study.html
+++ b/docs/reference/plot_study.html
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-    <div class="page-header">
-    <h1>Plot ae development of study and sites highlighting at risk sites.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>plot_study.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plot ae development of study and sites highlighting at risk sites.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>plot_study.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Most suitable visual representation of the AE under-reporting statistics.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_study</span><span class="op">(</span></span>
 <span>  <span class="va">df_visit</span>,</span>
 <span>  <span class="va">df_site</span>,</span>
@@ -114,49 +70,49 @@ <h1>Plot ae development of study and sites highlighting at risk sites.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe, created by <code><a href="sim_sites.html">sim_sites()</a></code></p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe created by <code><a href="site_aggr.html">site_aggr()</a></code></p></dd>
 
 
-<dt>df_eval</dt>
+<dt id="arg-df-eval">df_eval<a class="anchor" aria-label="anchor" href="#arg-df-eval"></a></dt>
 <dd><p>dataframe created by <code><a href="eval_sites.html">eval_sites()</a></code></p></dd>
 
 
-<dt>study</dt>
+<dt id="arg-study">study<a class="anchor" aria-label="anchor" href="#arg-study"></a></dt>
 <dd><p>study</p></dd>
 
 
-<dt>df_al</dt>
+<dt id="arg-df-al">df_al<a class="anchor" aria-label="anchor" href="#arg-df-al"></a></dt>
 <dd><p>dataframe containing study_id, site_number, alert_level_site,
 alert_level_study (optional), Default: NA</p></dd>
 
 
-<dt>n_sites</dt>
+<dt id="arg-n-sites">n_sites<a class="anchor" aria-label="anchor" href="#arg-n-sites"></a></dt>
 <dd><p>integer number of most at risk sites, Default: 16</p></dd>
 
 
-<dt>pval</dt>
+<dt id="arg-pval">pval<a class="anchor" aria-label="anchor" href="#arg-pval"></a></dt>
 <dd><p>logical show p-value, Default:FALSE</p></dd>
 
 
-<dt>prob_col</dt>
+<dt id="arg-prob-col">prob_col<a class="anchor" aria-label="anchor" href="#arg-prob-col"></a></dt>
 <dd><p>character, denotes probability column, Default: "prob_low_prob_ur"</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Left panel shows mean AE reporting per site (lightblue and darkblue
 lines) against mean AE reporting of the entire study (golden line). Single
 sites are plotted in descending order by AE under-reporting probability on
@@ -169,8 +125,8 @@ <h2>Details</h2>
 reach the evaluation point (visit_med75) will be ignored.</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">1000</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
 <span class="r-in"><span>    frac_site_with_ur <span class="op">=</span> <span class="fl">0.2</span>, ur_rate <span class="op">=</span> <span class="fl">0.15</span>, max_visit_sd <span class="op">=</span> <span class="fl">8</span><span class="op">)</span></span></span>
@@ -187,27 +143,23 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/reference/plot_visit_med75-1.png b/docs/reference/plot_visit_med75-1.png
index f1e87b0..15c8ccb 100644
Binary files a/docs/reference/plot_visit_med75-1.png and b/docs/reference/plot_visit_med75-1.png differ
diff --git a/docs/reference/plot_visit_med75.html b/docs/reference/plot_visit_med75.html
index 960b062..452194d 100644
--- a/docs/reference/plot_visit_med75.html
+++ b/docs/reference/plot_visit_med75.html
@@ -1,109 +1,66 @@
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+given study and compares against visit_med75."><meta property="og:description" content="Plots cumulative AEs against visits for patients at sites of
+given study and compares against visit_med75."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <h1>Plot patient visits against visit_med75.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
-    <div class="hidden name"><code>plot_visit_med75.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Plot patient visits against visit_med75.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep_plot.R" class="external-link"><code>R/simaerep_plot.R</code></a></small>
+      <div class="d-none name"><code>plot_visit_med75.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Plots cumulative AEs against visits for patients at sites of
 given study and compares against visit_med75.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">plot_visit_med75</span><span class="op">(</span></span>
 <span>  <span class="va">df_visit</span>,</span>
 <span>  df_site <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -114,42 +71,42 @@ <h1>Plot patient visits against visit_med75.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe</p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe, as returned by <code><a href="site_aggr.html">site_aggr()</a></code></p></dd>
 
 
-<dt>study_id_str</dt>
+<dt id="arg-study-id-str">study_id_str<a class="anchor" aria-label="anchor" href="#arg-study-id-str"></a></dt>
 <dd><p>character, specify study in study_id column</p></dd>
 
 
-<dt>n_sites</dt>
+<dt id="arg-n-sites">n_sites<a class="anchor" aria-label="anchor" href="#arg-n-sites"></a></dt>
 <dd><p>integer, Default: 6</p></dd>
 
 
-<dt>min_pat_pool</dt>
+<dt id="arg-min-pat-pool">min_pat_pool<a class="anchor" aria-label="anchor" href="#arg-min-pat-pool"></a></dt>
 <dd><p>double, minimum ratio of available patients available for
 sampling. Determines maximum visit_med75 value see Details. Default: 0.2</p></dd>
 
 
-<dt>verbose</dt>
+<dt id="arg-verbose">verbose<a class="anchor" aria-label="anchor" href="#arg-verbose"></a></dt>
 <dd><p>logical, Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>ggplot</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>ggplot</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">120</span>, n_sites <span class="op">=</span> <span class="fl">6</span>,</span></span>
 <span class="r-in"><span>    frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -167,27 +124,23 @@ <h2>Examples</h2>
 <span class="r-plt img"><img src="plot_visit_med75-1.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/reference/poiss_test_site_ae_vs_study_ae.html b/docs/reference/poiss_test_site_ae_vs_study_ae.html
index b786e90..6ee78a8 100644
--- a/docs/reference/poiss_test_site_ae_vs_study_ae.html
+++ b/docs/reference/poiss_test_site_ae_vs_study_ae.html
@@ -1,141 +1,97 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae"><meta property="og:description" content="Internal function used by sim_sites()."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <h1>Poisson test for vector with site AEs vs vector with study AEs.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>poiss_test_site_ae_vs_study_ae.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Poisson test for vector with site AEs vs vector with study AEs.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>poiss_test_site_ae_vs_study_ae.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by <code><a href="sim_sites.html">sim_sites()</a></code>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">poiss_test_site_ae_vs_study_ae</span><span class="op">(</span><span class="va">site_ae</span>, <span class="va">study_ae</span>, <span class="va">visit_med75</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>site_ae</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-site-ae">site_ae<a class="anchor" aria-label="anchor" href="#arg-site-ae"></a></dt>
 <dd><p>vector with AE numbers</p></dd>
 
 
-<dt>study_ae</dt>
+<dt id="arg-study-ae">study_ae<a class="anchor" aria-label="anchor" href="#arg-study-ae"></a></dt>
 <dd><p>vector with AE numbers</p></dd>
 
 
-<dt>visit_med75</dt>
+<dt id="arg-visit-med-">visit_med75<a class="anchor" aria-label="anchor" href="#arg-visit-med-"></a></dt>
 <dd><p>integer</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>pval</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>pval</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>sets pvalue=1 if mean AE site is greater than mean AE study or ttest gives error</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_sites.html">sim_sites()</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">poiss_test_site_ae_vs_study_ae</span><span class="op">(</span></span></span>
 <span class="r-in"><span>   site_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fl">3</span>, <span class="fl">3</span>, <span class="fl">2</span>, <span class="fl">1</span>, <span class="fl">6</span><span class="op">)</span>,</span></span>
 <span class="r-in"><span>   study_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">9</span>, <span class="fl">8</span>, <span class="fl">7</span>, <span class="fl">9</span>, <span class="fl">6</span>, <span class="fl">7</span>, <span class="fl">8</span><span class="op">)</span>,</span></span>
@@ -151,27 +107,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.9154536</span>
 </code></pre></div>
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-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
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+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
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+<div class="pkgdown-footer-right">
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diff --git a/docs/reference/prep_for_sim.html b/docs/reference/prep_for_sim.html
index 2111757..13ac595 100644
--- a/docs/reference/prep_for_sim.html
+++ b/docs/reference/prep_for_sim.html
@@ -1,137 +1,95 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Prepare data for simulation. — prep_for_sim • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Prepare data for simulation. — prep_for_sim"><meta name="description" content="Internal function called by sim_sites.
 Collect AEs per patient at visit_med75 for site and study as a vector of
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+Collect AEs per patient at visit_med75 for site and study as a vector of
+integers."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <div class="page-header">
-    <h1>Prepare data for simulation.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>prep_for_sim.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Prepare data for simulation.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>prep_for_sim.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function called by <code><a href="sim_sites.html">sim_sites</a></code>.
 Collect AEs per patient at visit_med75 for site and study as a vector of
 integers.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">prep_for_sim</span><span class="op">(</span><span class="va">df_site</span>, <span class="va">df_visit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_site</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe created by <code><a href="site_aggr.html">site_aggr</a></code></p></dd>
 
 
-<dt>df_visit</dt>
+<dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe, created by <code><a href="sim_sites.html">sim_sites</a></code></p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_sites.html">sim_sites</a></code>, <code><a href="sim_after_prep.html">sim_after_prep</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>   n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>   n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
@@ -147,7 +105,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_prep</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 7</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 n_ae_site  n_ae_study</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>     <span style="color: #949494; font-style: italic;">&lt;list&gt;</span>    </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001          20               18          15 <span style="color: #949494;">&lt;int [18]&gt;</span> <span style="color: #949494;">&lt;int [71]&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002          20               16          16 <span style="color: #949494;">&lt;int [16]&gt;</span> <span style="color: #949494;">&lt;int [64]&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               19          15 <span style="color: #949494;">&lt;int [19]&gt;</span> <span style="color: #949494;">&lt;int [70]&gt;</span></span>
@@ -155,27 +113,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005          20               17          15 <span style="color: #949494;">&lt;int [17]&gt;</span> <span style="color: #949494;">&lt;int [72]&gt;</span></span>
 </code></pre></div>
     </div>
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-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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diff --git a/docs/reference/prob_lower_site_ae_vs_study_ae.html b/docs/reference/prob_lower_site_ae_vs_study_ae.html
index 7500eb5..238c8aa 100644
--- a/docs/reference/prob_lower_site_ae_vs_study_ae.html
+++ b/docs/reference/prob_lower_site_ae_vs_study_ae.html
@@ -1,107 +1,63 @@
 <!DOCTYPE html>
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
-  </a>
-</li>
-      </ul></div><!--/.nav-collapse -->
-  </div><!--/.container -->
-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Calculate bootstrapped probability for obtaining a lower site mean AE number.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>prob_lower_site_ae_vs_study_ae.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate bootstrapped probability for obtaining a lower site mean AE number.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>prob_lower_site_ae_vs_study_ae.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function used by <code><a href="sim_sites.html">sim_sites()</a></code></p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">prob_lower_site_ae_vs_study_ae</span><span class="op">(</span></span>
 <span>  <span class="va">site_ae</span>,</span>
 <span>  <span class="va">study_ae</span>,</span>
@@ -111,45 +67,45 @@ <h1>Calculate bootstrapped probability for obtaining a lower site mean AE number
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>site_ae</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-site-ae">site_ae<a class="anchor" aria-label="anchor" href="#arg-site-ae"></a></dt>
 <dd><p>vector with AE numbers</p></dd>
 
 
-<dt>study_ae</dt>
+<dt id="arg-study-ae">study_ae<a class="anchor" aria-label="anchor" href="#arg-study-ae"></a></dt>
 <dd><p>vector with AE numbers</p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>integer, denotes number of simulations, default = 1000</p></dd>
 
 
-<dt>parallel</dt>
+<dt id="arg-parallel">parallel<a class="anchor" aria-label="anchor" href="#arg-parallel"></a></dt>
 <dd><p>logical, toggles parallel processing on and of, default = F</p></dd>
 
 
-<dt>under_only</dt>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
 <dd><p>compute under-reporting probabilities only, default = TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>pval</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>pval</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>sets pvalue=1 if mean AE site is greater than mean AE study</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="https://purrr.tidyverse.org/reference/safely.html" class="external-link">safely</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">prob_lower_site_ae_vs_study_ae</span><span class="op">(</span></span></span>
 <span class="r-in"><span>  site_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fl">3</span>, <span class="fl">3</span>, <span class="fl">2</span>, <span class="fl">1</span>, <span class="fl">6</span><span class="op">)</span>,</span></span>
 <span class="r-in"><span>  study_ae <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">9</span>, <span class="fl">8</span>, <span class="fl">7</span>, <span class="fl">9</span>, <span class="fl">6</span>, <span class="fl">7</span>, <span class="fl">8</span><span class="op">)</span>,</span></span>
@@ -158,27 +114,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.011</span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
-      </footer></div>
+    </footer></div>
+
 
-  
 
 
-  
 
   </body></html>
 
diff --git a/docs/reference/prune_to_visit_med75_inframe.html b/docs/reference/prune_to_visit_med75_inframe.html
new file mode 100644
index 0000000..145e550
--- /dev/null
+++ b/docs/reference/prune_to_visit_med75_inframe.html
@@ -0,0 +1,97 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe"><meta name="description" content="prune visits to visit_med75 using table operations"><meta property="og:description" content="prune visits to visit_med75 using table operations"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag('js', new Date());
+
+  gtag('config', 'UA-123997499-2');
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+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
+      <span class="navbar-toggler-icon"></span>
+    </button>
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+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>prune visits to visit_med75 using table operations</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/inframe.R" class="external-link"><code>R/inframe.R</code></a></small>
+      <div class="d-none name"><code>prune_to_visit_med75_inframe.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>prune visits to visit_med75 using table operations</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">prune_to_visit_med75_inframe</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_site</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
+<dd><p>Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.</p></dd>
+
+
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
+<dd><p>dataframe, as returned by <code><a href="site_aggr.html">site_aggr()</a></code></p></dd>
+
+</dl></div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+</div>
+
+    </footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/docs/reference/purrr_bar.html b/docs/reference/purrr_bar.html
index f9fc1e1..1498923 100644
--- a/docs/reference/purrr_bar.html
+++ b/docs/reference/purrr_bar.html
@@ -1,110 +1,63 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Execute a purrr or furrr function with a progress
-bar. — purrr_bar • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Execute a purrr or furrr function with a progress
-bar. — purrr_bar"><meta property="og:description" content="Internal utility function."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-    <div class="page-header">
-    <h1>Execute a purrr or furrr function with a progress
-bar.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/progress.R" class="external-link"><code>R/progress.R</code></a></small>
-    <div class="hidden name"><code>purrr_bar.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Execute a purrr or furrr function with a progress bar.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/progress.R" class="external-link"><code>R/progress.R</code></a></small>
+      <div class="d-none name"><code>purrr_bar.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal utility function.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">purrr_bar</span><span class="op">(</span></span>
 <span>  <span class="va">...</span>,</span>
 <span>  <span class="va">.purrr</span>,</span>
@@ -117,54 +70,54 @@ <h1>Execute a purrr or furrr function with a progress
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>...</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>iterable arguments passed to .purrr</p></dd>
 
 
-<dt>.purrr</dt>
+<dt id="arg--purrr">.purrr<a class="anchor" aria-label="anchor" href="#arg--purrr"></a></dt>
 <dd><p>purrr or furrr function</p></dd>
 
 
-<dt>.f</dt>
+<dt id="arg--f">.f<a class="anchor" aria-label="anchor" href="#arg--f"></a></dt>
 <dd><p>function to be executed over iterables</p></dd>
 
 
-<dt>.f_args</dt>
+<dt id="arg--f-args">.f_args<a class="anchor" aria-label="anchor" href="#arg--f-args"></a></dt>
 <dd><p>list of arguments passed to .f, Default: list()</p></dd>
 
 
-<dt>.purrr_args</dt>
+<dt id="arg--purrr-args">.purrr_args<a class="anchor" aria-label="anchor" href="#arg--purrr-args"></a></dt>
 <dd><p>list of arguments passed to .purrr, Default: list()</p></dd>
 
 
-<dt>.steps</dt>
+<dt id="arg--steps">.steps<a class="anchor" aria-label="anchor" href="#arg--steps"></a></dt>
 <dd><p>integer number of iterations</p></dd>
 
 
-<dt>.slow</dt>
+<dt id="arg--slow">.slow<a class="anchor" aria-label="anchor" href="#arg--slow"></a></dt>
 <dd><p>logical slows down execution, Default: FALSE</p></dd>
 
 
-<dt>.progress</dt>
+<dt id="arg--progress">.progress<a class="anchor" aria-label="anchor" href="#arg--progress"></a></dt>
 <dd><p>logical, show progress bar, Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>result of function passed to .f</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>result of function passed to .f</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Call still needs to be wrapped in <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code>
 or <code><a href="with_progress_cnd.html">with_progress_cnd()</a></code></p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># purrr::map</span></span></span>
 <span class="r-in"><span><span class="fu">progressr</span><span class="fu">::</span><span class="fu"><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  <span class="fu">purrr_bar</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">0.25</span>, <span class="fl">5</span><span class="op">)</span>, .purrr <span class="op">=</span> <span class="fu">purrr</span><span class="fu">::</span><span class="va"><a href="https://purrr.tidyverse.org/reference/map.html" class="external-link">map</a></span>, .f <span class="op">=</span> <span class="va">Sys.sleep</span>, .steps <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></span></span>
@@ -294,27 +247,23 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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diff --git a/docs/reference/sim_after_prep.html b/docs/reference/sim_after_prep.html
index 6d123e1..9996be0 100644
--- a/docs/reference/sim_after_prep.html
+++ b/docs/reference/sim_after_prep.html
@@ -1,109 +1,66 @@
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Start simulation after preparation.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>sim_after_prep.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Start simulation after preparation.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>sim_after_prep.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function called by <code><a href="sim_sites.html">sim_sites</a></code>
 after <code><a href="prep_for_sim.html">prep_for_sim</a></code></p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_after_prep</span><span class="op">(</span></span>
 <span>  <span class="va">df_sim_prep</span>,</span>
 <span>  r <span class="op">=</span> <span class="fl">1000</span>,</span>
@@ -114,49 +71,49 @@ <h1>Start simulation after preparation.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_sim_prep</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-sim-prep">df_sim_prep<a class="anchor" aria-label="anchor" href="#arg-df-sim-prep"></a></dt>
 <dd><p>dataframe as returned by
 <code><a href="prep_for_sim.html">prep_for_sim</a></code></p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>integer, denotes number of simulations, default = 1000</p></dd>
 
 
-<dt>poisson_test</dt>
+<dt id="arg-poisson-test">poisson_test<a class="anchor" aria-label="anchor" href="#arg-poisson-test"></a></dt>
 <dd><p>logical, calculates poisson.test pvalue</p></dd>
 
 
-<dt>prob_lower</dt>
+<dt id="arg-prob-lower">prob_lower<a class="anchor" aria-label="anchor" href="#arg-prob-lower"></a></dt>
 <dd><p>logical, calculates probability for getting a lower value</p></dd>
 
 
-<dt>progress</dt>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
 <dd><p>logical, display progress bar, Default = TRUE</p></dd>
 
 
-<dt>under_only</dt>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
 <dd><p>compute under-reporting probabilities only, default = TRUE
 <a href="check_df_visit.html">check_df_visit()</a>, computationally expensive on large data
 sets. Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_sites.html">sim_sites</a></code>,
 <code><a href="prep_for_sim.html">prep_for_sim</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>   n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>   n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
@@ -175,7 +132,7 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="va">df_sim</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 9</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001          20               20          15               6.1 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002          20               17          16               6.53</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003          20               17          16               8.35</span>
@@ -185,27 +142,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low &lt;dbl&gt;</span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
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+    <footer><div class="pkgdown-footer-left">
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 </div>
 
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diff --git a/docs/reference/sim_inframe.html b/docs/reference/sim_inframe.html
new file mode 100644
index 0000000..7b16f95
--- /dev/null
+++ b/docs/reference/sim_inframe.html
@@ -0,0 +1,129 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Calculate prob_lower for study sites using table operations — sim_inframe • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Calculate prob_lower for study sites using table operations — sim_inframe"><meta name="description" content="Calculate prob_lower for study sites using table operations"><meta property="og:description" content="Calculate prob_lower for study sites using table operations"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
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+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate prob_lower for study sites using table operations</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/inframe.R" class="external-link"><code>R/inframe.R</code></a></small>
+      <div class="d-none name"><code>sim_inframe.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Calculate prob_lower for study sites using table operations</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_inframe</span><span class="op">(</span><span class="va">df_visit</span>, r <span class="op">=</span> <span class="fl">1000</span>, df_site <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
+<dd><p>Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.</p></dd>
+
+
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
+<dd><p>Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.</p></dd>
+
+
+<dt id="arg-df-site-">df_site, <a class="anchor" aria-label="anchor" href="#arg-df-site-"></a></dt>
+<dd><p>dataframe as returned be <code><a href="site_aggr.html">site_aggr()</a></code>, Will switch to visit_med75.
+Default: NULL</p></dd>
+
+</dl></div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
+<span class="r-in"><span>  n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
+<span class="r-in"><span>  frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>,</span></span>
+<span class="r-in"><span>  ur_rate <span class="op">=</span> <span class="fl">0.6</span></span></span>
+<span class="r-in"><span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">df_visit</span><span class="op">$</span><span class="va">study_id</span> <span class="op">&lt;-</span> <span class="st">"A"</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">df_sim</span> <span class="op">&lt;-</span> <span class="fu">sim_inframe</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">df_eval</span> <span class="op">&lt;-</span> <span class="fu"><a href="eval_sites.html">eval_sites</a></span><span class="op">(</span><span class="va">df_sim</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 10</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001                       0.188     75    400    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                       0.186     75    403    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003                       0.496    187    377    20    0.998</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004                       0.453    180    397    20    0.98 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005                       0.492    187    380    20    0.998</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 3 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
+</code></pre></div>
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index 0eeed0f..61db4c7 100644
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@@ -1,137 +1,93 @@
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-    <h1>simulate single scenario</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>sim_scenario.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
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+
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+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>simulate single scenario</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_scenario.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>internal function called by simulate_scenarios()</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_scenario</span><span class="op">(</span><span class="va">n_ae_site</span>, <span class="va">n_ae_study</span>, <span class="va">frac_pat_with_ur</span>, <span class="va">ur_rate</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>n_ae_site</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-n-ae-site">n_ae_site<a class="anchor" aria-label="anchor" href="#arg-n-ae-site"></a></dt>
 <dd><p>integer vector</p></dd>
 
 
-<dt>n_ae_study</dt>
+<dt id="arg-n-ae-study">n_ae_study<a class="anchor" aria-label="anchor" href="#arg-n-ae-study"></a></dt>
 <dd><p>integer vector</p></dd>
 
 
-<dt>frac_pat_with_ur</dt>
+<dt id="arg-frac-pat-with-ur">frac_pat_with_ur<a class="anchor" aria-label="anchor" href="#arg-frac-pat-with-ur"></a></dt>
 <dd><p>double</p></dd>
 
 
-<dt>ur_rate</dt>
+<dt id="arg-ur-rate">ur_rate<a class="anchor" aria-label="anchor" href="#arg-ur-rate"></a></dt>
 <dd><p>double</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>list</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>list</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu">sim_scenario</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">5</span>,<span class="fl">5</span>,<span class="fl">5</span>,<span class="fl">5</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">8</span>,<span class="fl">8</span>,<span class="fl">8</span>,<span class="fl">8</span><span class="op">)</span>, <span class="fl">0.2</span>, <span class="fl">0.5</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $n_ae_site</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.5 2.5 5.0 5.0</span>
@@ -176,27 +132,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 </code></pre></div>
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-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
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+    <footer><div class="pkgdown-footer-left">
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 </div>
 
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diff --git a/docs/reference/sim_sites.html b/docs/reference/sim_sites.html
index dcd26d2..eaea3b8 100644
--- a/docs/reference/sim_sites.html
+++ b/docs/reference/sim_sites.html
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-    <div class="page-header">
-    <h1>Calculate prob_lower and poisson.test pvalue for study sites.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>sim_sites.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Calculate prob_lower and poisson.test pvalue for study sites.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>sim_sites.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Collects the number of AEs of all eligible patients that
 meet visit_med75 criteria of site. Then  calculates poisson.test pvalue and
 bootstrapped probability of having a lower mean value.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_sites</span><span class="op">(</span></span>
 <span>  <span class="va">df_site</span>,</span>
 <span>  <span class="va">df_visit</span>,</span>
@@ -118,47 +76,47 @@ <h1>Calculate prob_lower and poisson.test pvalue for study sites.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_site</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe created by <code><a href="site_aggr.html">site_aggr</a></code></p></dd>
 
 
-<dt>df_visit</dt>
+<dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe, created by <code>sim_sites</code></p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>integer, denotes number of simulations, default = 1000</p></dd>
 
 
-<dt>poisson_test</dt>
+<dt id="arg-poisson-test">poisson_test<a class="anchor" aria-label="anchor" href="#arg-poisson-test"></a></dt>
 <dd><p>logical, calculates poisson.test pvalue</p></dd>
 
 
-<dt>prob_lower</dt>
+<dt id="arg-prob-lower">prob_lower<a class="anchor" aria-label="anchor" href="#arg-prob-lower"></a></dt>
 <dd><p>logical, calculates probability for getting a lower value</p></dd>
 
 
-<dt>progress</dt>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
 <dd><p>logical, display progress bar, Default = TRUE</p></dd>
 
 
-<dt>check, </dt>
+<dt id="arg-check-">check, <a class="anchor" aria-label="anchor" href="#arg-check-"></a></dt>
 <dd><p>logical, perform data check and attempt repair with</p></dd>
 
 
-<dt>under_only</dt>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
 <dd><p>compute under-reporting probabilities only, default = TRUE
 <a href="check_df_visit.html">check_df_visit()</a>, computationally expensive on large data
 sets. Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
 
 <dt><strong>site_number</strong></dt>
@@ -190,8 +148,8 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code>sim_sites</code>,
 <code><a href="site_aggr.html">site_aggr</a></code>,
 <code><a href="pat_pool.html">pat_pool</a></code>,
@@ -201,8 +159,8 @@ <h2>See also</h2>
 <code><a href="prep_for_sim.html">prep_for_sim</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>   n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>   n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
@@ -222,34 +180,30 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> |study_id |site_number | n_pat| n_pat_with_med75| visit_med75| mean_ae_site_med75| mean_ae_study_med75| n_pat_with_med75_study| pval| prob_low|</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> |:--------|:-----------|-----:|----------------:|-----------:|------------------:|-------------------:|----------------------:|----:|--------:|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0001       |    20|               19|          15|               6.63|                7.07|                     71| 0.56|     0.26|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0002       |    20|               18|          15|               6.11|                7.19|                     72| 0.12|     0.10|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0003       |    20|               17|          16|               8.53|                7.17|                     66| 1.00|     1.00|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0004       |    20|               20|          15|               6.40|                7.14|                     70| 0.29|     0.14|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0005       |    20|               16|          16|               8.38|                7.22|                     67| 1.00|     1.00|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0001       |    20|               20|          15|               6.35|                6.31|                     71| 1.00|     1.00|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0002       |    20|               19|          15|               5.37|                6.57|                     72| 0.06|     0.06|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0003       |    20|               18|          15|               7.11|                6.12|                     73| 1.00|     1.00|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0004       |    20|               15|          17|               7.87|                7.03|                     61| 1.00|     1.00|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0005       |    20|               19|          15|               6.37|                6.31|                     72| 1.00|     1.00|</span>
 </code></pre></div>
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diff --git a/docs/reference/sim_studies.html b/docs/reference/sim_studies.html
index 2ae9c06..3b4c30d 100644
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+++ b/docs/reference/sim_studies.html
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-    <div class="page-header">
-    <h1>Simulate studies.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>sim_studies.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Simulate studies.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>sim_studies.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Test function, test applicability of poisson test, by
 calculating a the bootstrapped probability of obtaining a specific p-value
 or lower, use in combination with <code><a href="get_ecd_values.html">get_ecd_values()</a></code>.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_studies</span><span class="op">(</span></span>
 <span>  <span class="va">df_visit</span>,</span>
 <span>  <span class="va">df_site</span>,</span>
@@ -122,69 +80,69 @@ <h1>Simulate studies.</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe</p></dd>
 
 
-<dt>df_site</dt>
+<dt id="arg-df-site">df_site<a class="anchor" aria-label="anchor" href="#arg-df-site"></a></dt>
 <dd><p>dataframe</p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>integer, denotes number of simulations, Default: 1000</p></dd>
 
 
-<dt>poisson_test</dt>
+<dt id="arg-poisson-test">poisson_test<a class="anchor" aria-label="anchor" href="#arg-poisson-test"></a></dt>
 <dd><p>logical, calculates poisson.test pvalue, Default: TRUE</p></dd>
 
 
-<dt>prob_lower</dt>
+<dt id="arg-prob-lower">prob_lower<a class="anchor" aria-label="anchor" href="#arg-prob-lower"></a></dt>
 <dd><p>logical, calculates probability for getting a lower value,
 Default: FALSE</p></dd>
 
 
-<dt>r_prob_lower</dt>
+<dt id="arg-r-prob-lower">r_prob_lower<a class="anchor" aria-label="anchor" href="#arg-r-prob-lower"></a></dt>
 <dd><p>integer, denotes number of simulations for prob_lower
 value calculation,, Default: 1000</p></dd>
 
 
-<dt>under_only</dt>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
 <dd><p>compute under-reporting probabilities only, default = TRUE</p></dd>
 
 
-<dt>parallel</dt>
+<dt id="arg-parallel">parallel<a class="anchor" aria-label="anchor" href="#arg-parallel"></a></dt>
 <dd><p>logical, see examples for registering parallel processing framework
 , Default: FALSE</p></dd>
 
 
-<dt>keep_ae</dt>
+<dt id="arg-keep-ae">keep_ae<a class="anchor" aria-label="anchor" href="#arg-keep-ae"></a></dt>
 <dd><p>logical, keep ae numbers in output dataframe memory increase
 roughly 30 percent, Default: F</p></dd>
 
 
-<dt>min_n_pat_with_med75</dt>
+<dt id="arg-min-n-pat-with-med-">min_n_pat_with_med75<a class="anchor" aria-label="anchor" href="#arg-min-n-pat-with-med-"></a></dt>
 <dd><p>integer, min number of patients with med75 at
 site to simulate, Default: 1</p></dd>
 
 
-<dt>studies</dt>
+<dt id="arg-studies">studies<a class="anchor" aria-label="anchor" href="#arg-studies"></a></dt>
 <dd><p>vector with study names, Default: NULL</p></dd>
 
 
-<dt>.progress</dt>
+<dt id="arg--progress">.progress<a class="anchor" aria-label="anchor" href="#arg--progress"></a></dt>
 <dd><p>logical, show progress bar</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Here we simulate study replicates maintaining the same number of
 sites, patients and visit_med75 by bootstrap resampling, then probabilities
 for obtaining lower or same mean_ae count and p-values using poisson.test
@@ -193,8 +151,8 @@ <h2>Details</h2>
 mean_ae at visit_med75</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>                                      frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
@@ -213,50 +171,46 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="fu">sim_studies</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_site</span>, r <span class="op">=</span> <span class="fl">3</span>, keep_ae <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 24 × 10</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        r study_id site_number visit_med75 n_pat_with_med75 n_pat_study n_ae_site</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span>     1 A        S0001                16               20          68 7,13,7,4…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span>     1 A        S0002                18               17          57 1,10,4,4…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span>     1 A        S0003                17               18          63 13,11,13…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span>     1 A        S0004                14               18          76 3,9,9,9,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span>     1 A        S0005                15               18          72 9,4,7,6,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span>     1 B        S0001                15              297         597 9,8,5,7,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span>     1 B        S0002                15              296         598 14,8,7,1…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span>     1 B        S0003                15              301         593 9,5,8,6,…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span>     2 A        S0001                16               20          68 10,7,5,3…</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span>     2 A        S0002                18               17          57 12,12,6,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>             <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span>     1 A        S0001                16               18          68 11,5,7,4…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span>     1 A        S0002                18               17          53 11,16,8,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span>     1 A        S0003                17               18          62 13,11,13…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span>     1 A        S0004                14               18          74 7,9,7,6,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span>     1 A        S0005                15               17          71 6,9,5,4,…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span>     1 B        S0001                15              297         597 10,13,11…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span>     1 B        S0002                15              296         598 3,10,4,6…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span>     1 B        S0003                15              301         593 3,6,7,10…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span>     2 A        S0001                16               18          68 10,5,7,3…</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span>     2 A        S0002                18               17          53 5,17,8,6…</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 14 more rows</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 3 more variables: n_ae_study &lt;chr&gt;, pval &lt;dbl&gt;, prob_low &lt;dbl&gt;</span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
-<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="co"># parallel processing -------------------------</span></span></span>
 <span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://future.futureverse.org" class="external-link">future</a></span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">future</span><span class="fu">::</span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">multiprocess</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">sim_studies</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">df_site</span>, r <span class="op">=</span> <span class="fl">3</span>, keep_ae <span class="op">=</span> <span class="cn">TRUE</span>, parallel <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu">future</span><span class="fu">::</span><span class="fu"><a href="https://future.futureverse.org/reference/plan.html" class="external-link">plan</a></span><span class="op">(</span><span class="va">sequential</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span><span class="op">}</span> <span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
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-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
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+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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diff --git a/docs/reference/sim_test_data_patient.html b/docs/reference/sim_test_data_patient.html
index 3f5958e..7b2ac56 100644
--- a/docs/reference/sim_test_data_patient.html
+++ b/docs/reference/sim_test_data_patient.html
@@ -1,215 +1,166 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>simulate patient ae reporting test data — sim_test_data_patient • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="simulate patient ae reporting test data — sim_test_data_patient"><meta property="og:description" content="helper function for sim_test_data_study()"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>simulate patient ae reporting test data — sim_test_data_patient • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="simulate patient ae reporting test data — sim_test_data_patient"><meta name="description" content="helper function for sim_test_data_study()"><meta property="og:description" content="helper function for sim_test_data_study()"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-      <a href="../articles/over.html">Over-Reporting Probability</a>
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+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
+
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
+    <a class="navbar-brand me-2" href="../index.html">simaerep</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
+
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+    <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
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+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>simulate patient ae reporting test data</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>sim_test_data_patient.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>simulate patient ae reporting test data</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_test_data_patient.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>helper function for <code><a href="sim_test_data_study.html">sim_test_data_study()</a></code></p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_test_data_patient</span><span class="op">(</span></span>
 <span>  .f_sample_max_visit <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">1</span>, mean <span class="op">=</span> <span class="fl">20</span>, sd <span class="op">=</span> <span class="fl">4</span><span class="op">)</span>,</span>
 <span>  .f_sample_ae_per_visit <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">max_visit</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/stats/Poisson.html" class="external-link">rpois</a></span><span class="op">(</span><span class="va">max_visit</span>, <span class="fl">0.5</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>.f_sample_max_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg--f-sample-max-visit">.f_sample_max_visit<a class="anchor" aria-label="anchor" href="#arg--f-sample-max-visit"></a></dt>
 <dd><p>function used to sample the maximum number of aes,
 Default: function() rnorm(1, mean = 20, sd = 4)</p></dd>
 
 
-<dt>.f_sample_ae_per_visit</dt>
+<dt id="arg--f-sample-ae-per-visit">.f_sample_ae_per_visit<a class="anchor" aria-label="anchor" href="#arg--f-sample-ae-per-visit"></a></dt>
 <dd><p>function used to sample the aes for each visit,
 Default: function(x) rpois(x, 0.5)</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>vector containing cumulative aes</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>vector containing cumulative aes</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>""</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">replicate</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu">sim_test_data_patient</span><span class="op">(</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[1]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0  0  0  0  1  1  1  3  4  5  6  6  7  7  8 10 10 11 12 14 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  2  3  3  4  4  4  4  4  4  5  5  5  7  8  9 10 10 11 11 12 14 14</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  1  1  2  2  2  3  3  4  5  5  7  7  7  7  7  7  7  8  8  9  9 11 13</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  2  2  3  4  5  5  5  6  6  6  7  7  8  9  9 11 11 11 11 11 11 11 12 12</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 0 1 2 4 4 4 5 5 6 7 7 8 8 8 8 8 8 8 8 8 8 9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  2  4  5  7  7  8  9 11 11 11 12 12 13 14 14 15 15 15 15 15 15</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 0 0 0 1 2 2 2 2 2 3 3 4 4 4 4 4 4 5 5 7 7 7 7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 0 0 1 2 3 3 3 3 4 5 5 5 5 5</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[5]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  1  1  2  3  5  6  6  6  6  6  7  7  8  9  9  9  9 10 10 10 12 13 13 14</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 14 15</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  1  1  1  1  1  2  2  4  4  4  4  6  6  7  7  7  8  9 11 12 12</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">replicate</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu">sim_test_data_patient</span><span class="op">(</span></span></span>
 <span class="r-in"><span>    .f_sample_ae_per_visit <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/stats/Poisson.html" class="external-link">rpois</a></span><span class="op">(</span><span class="va">x</span>, <span class="fl">1.2</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span>  <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[1]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  2  2  2  6  7  7  9  9  9 11 13 14 14 16 20 21 21 22 23 25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  3  3  5  6  6  6  6  8  8  9 13 15 15 16 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0  1  1  1  1  3  6  7  9 11 12 14 14 15 17 19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  2  3  4  4  4  8  9  9 11 11 11 13 15 16 16 18 22 23 23 24 25</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0  1  4  4  6  8  9  9 13 13 14 15 16 20 20 24 25 26 28 29 31 33 35</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  2  2  3  3  3  3  5  8  9 11 13 14 16 16 17 19 21 23 23 23 24</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  5  5  9 11 13 15 15 16 16 17 18 18 18 19 19 20 20 20 20 22 24 26 28 30</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  2  4  5  5  9  9 10 11 12 16 16 20 21 22 24 25 27 29 31 34 36 37 41 41 45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [26] 47</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[5]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  1  2  4  5  8  9 12 13 13 13 17 19 20 20 20 20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0  1  1  2  3  3  3  4  4  5  5  5  5  7  9 11 13 15 16 16 16 17</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">replicate</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu">sim_test_data_patient</span><span class="op">(</span></span></span>
 <span class="r-in"><span>    .f_sample_max_visit <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">1</span>, mean <span class="op">=</span> <span class="fl">5</span>, sd <span class="op">=</span> <span class="fl">5</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span>  <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[1]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 2 2 4 4 4</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 0 0 0 3 3 4 4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 0 0</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 0 0 0 0 0 0 1 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 3 3 3 3 4 4 4 4 4 4</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [[5]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0 2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 1 1 2 3 3 3 3 3 3 3 3 4 4 4 4 4 6</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 </code></pre></div>
     </div>
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-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
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diff --git a/docs/reference/sim_test_data_portfolio.html b/docs/reference/sim_test_data_portfolio.html
index 7dfc62f..d41a5df 100644
--- a/docs/reference/sim_test_data_portfolio.html
+++ b/docs/reference/sim_test_data_portfolio.html
@@ -1,107 +1,63 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Simulate Portfolio Test Data — sim_test_data_portfolio • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Simulate Portfolio Test Data — sim_test_data_portfolio"><meta property="og:description" content="Simulate visit level data from a portfolio configuration."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Simulate Portfolio Test Data — sim_test_data_portfolio • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simulate Portfolio Test Data — sim_test_data_portfolio"><meta name="description" content="Simulate visit level data from a portfolio configuration."><meta property="og:description" content="Simulate visit level data from a portfolio configuration."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+      <img src="../logo.png" class="logo" alt=""><h1>Simulate Portfolio Test Data</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_test_data_portfolio.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Simulate visit level data from a portfolio configuration.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_test_data_portfolio</span><span class="op">(</span></span>
 <span>  <span class="va">df_config</span>,</span>
 <span>  df_ae_rates <span class="op">=</span> <span class="cn">NULL</span>,</span>
@@ -110,29 +66,29 @@ <h1>Simulate Portfolio Test Data</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_config</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-config">df_config<a class="anchor" aria-label="anchor" href="#arg-df-config"></a></dt>
 <dd><p>dataframe as returned by <code><a href="get_config.html">get_config</a></code></p></dd>
 
 
-<dt>df_ae_rates</dt>
+<dt id="arg-df-ae-rates">df_ae_rates<a class="anchor" aria-label="anchor" href="#arg-df-ae-rates"></a></dt>
 <dd><p>dataframe with ae rates. Default: NULL</p></dd>
 
 
-<dt>parallel</dt>
+<dt id="arg-parallel">parallel<a class="anchor" aria-label="anchor" href="#arg-parallel"></a></dt>
 <dd><p>logical activate parallel processing, see details, Default: FALSE</p></dd>
 
 
-<dt>progress</dt>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
 <dd><p>logical, Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
  <dt><strong>ae_per_visit_mean</strong></dt>
 <dd><p>mean
@@ -157,16 +113,16 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>uses <code><a href="sim_test_data_study.html">sim_test_data_study</a></code>.
 We use the <code>furrr</code> package to
 implement parallel processing as these simulations can take a long time to
 run. For this to work we need to specify the plan for how the code should
 run, e.g. `plan(multisession, workers = 3)</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_test_data_study.html">sim_test_data_study</a></code>
 <code><a href="get_config.html">get_config</a></code>
 <code>sim_test_data_portfolio</code>
@@ -174,8 +130,8 @@ <h2>See also</h2>
 <code><a href="get_portf_perf.html">get_portf_perf</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
 <span class="r-in"><span>                                 frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
@@ -253,22 +209,23 @@ <h2>Examples</h2>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_scen</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 140 × 14</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001           10                8          21               6.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001           10                8          21               3.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001           10                8          21               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001           10                8          21               3.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001           10                8          21               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001           10                8          21               3.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001           10                8          21               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002           10               10          14               3.8 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002           10               10          14               1.9 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002           10               10          14               0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001                     0            0.222     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001                     0            0.222     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001                     1            0.333     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001                     1            0.333     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001                     2            0.444     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001                     2            0.444     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002                     0            0.119     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002                     0            0.119     1      10</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 130 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   extra_ur_sites &lt;dbl&gt;, frac_pat_with_ur &lt;dbl&gt;, ur_rate &lt;dbl&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;, prob_low_prob_ur &lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_ae_site_med75 &lt;dbl&gt;, mean_ae_study_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   n_pat_with_med75_study &lt;int&gt;, prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu"><a href="get_portf_perf.html">get_portf_perf</a></span><span class="op">(</span><span class="va">df_scen</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -276,41 +233,37 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 27 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      fpr thresh extra_ur_sites ur_rate   tpr</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.916              0     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.916              1     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.916              2     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.916              0     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.916              1     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.916              2     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.916              0     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.916              1     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.916              2     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.913              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.555              0     0     0.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.555              1     0     0.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.555              2     0     0.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.555              0     0.5   1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.555              1     0.5   1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.555              2     0.5   0.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.555              0     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.555              1     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.555              2     1     1  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.555              0     0     0.1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 17 more rows</span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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+    </footer></div>
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diff --git a/docs/reference/sim_test_data_study.html b/docs/reference/sim_test_data_study.html
index 90d8a4b..83c5e2a 100644
--- a/docs/reference/sim_test_data_study.html
+++ b/docs/reference/sim_test_data_study.html
@@ -1,113 +1,72 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>simulate study test data — sim_test_data_study • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="simulate study test data — sim_test_data_study"><meta property="og:description" content="evenly distributes a number of given patients across a number of
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>simulate study test data — sim_test_data_study • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="simulate study test data — sim_test_data_study"><meta name="description" content="evenly distributes a number of given patients across a number of
 given sites. Then simulates ae development of each patient reducing the
 number of reported AEs for patients distributed to AE-under-reporting
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   </ul></li>
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-  <a href="../news/index.html">Changelog</a>
-</li>
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>simulate study test data</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>sim_test_data_study.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>simulate study test data</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_test_data_study.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>evenly distributes a number of given patients across a number of
 given sites. Then simulates ae development of each patient reducing the
 number of reported AEs for patients distributed to AE-under-reporting
 sites.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_test_data_study</span><span class="op">(</span></span>
 <span>  n_pat <span class="op">=</span> <span class="fl">1000</span>,</span>
 <span>  n_sites <span class="op">=</span> <span class="fl">20</span>,</span>
@@ -120,61 +79,61 @@ <h1>simulate study test data</h1>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>n_pat</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-n-pat">n_pat<a class="anchor" aria-label="anchor" href="#arg-n-pat"></a></dt>
 <dd><p>integer, number of patients, Default: 1000</p></dd>
 
 
-<dt>n_sites</dt>
+<dt id="arg-n-sites">n_sites<a class="anchor" aria-label="anchor" href="#arg-n-sites"></a></dt>
 <dd><p>integer, number of sites, Default: 20</p></dd>
 
 
-<dt>frac_site_with_ur</dt>
+<dt id="arg-frac-site-with-ur">frac_site_with_ur<a class="anchor" aria-label="anchor" href="#arg-frac-site-with-ur"></a></dt>
 <dd><p>fraction of AE under-reporting sites, Default: 0</p></dd>
 
 
-<dt>ur_rate</dt>
+<dt id="arg-ur-rate">ur_rate<a class="anchor" aria-label="anchor" href="#arg-ur-rate"></a></dt>
 <dd><p>AE under-reporting rate, will lower mean ae per visit used to
 simulate patients at sites flagged as AE-under-reporting. Negative Values
 will simulate over-reporting., Default: 0</p></dd>
 
 
-<dt>max_visit_mean</dt>
+<dt id="arg-max-visit-mean">max_visit_mean<a class="anchor" aria-label="anchor" href="#arg-max-visit-mean"></a></dt>
 <dd><p>mean of the maximum number of visits of each patient,
 Default: 20</p></dd>
 
 
-<dt>max_visit_sd</dt>
+<dt id="arg-max-visit-sd">max_visit_sd<a class="anchor" aria-label="anchor" href="#arg-max-visit-sd"></a></dt>
 <dd><p>standard deviation of maximum number of visits of each
 patient, Default: 4</p></dd>
 
 
-<dt>ae_per_visit_mean</dt>
+<dt id="arg-ae-per-visit-mean">ae_per_visit_mean<a class="anchor" aria-label="anchor" href="#arg-ae-per-visit-mean"></a></dt>
 <dd><p>mean ae per visit per patient, Default: 0.5</p></dd>
 
 
-<dt>ae_rates</dt>
+<dt id="arg-ae-rates">ae_rates<a class="anchor" aria-label="anchor" href="#arg-ae-rates"></a></dt>
 <dd><p>vector with visit-specific ae rates, Default: Null</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>tibble with columns site_number, patnum, is_ur, max_visit_mean,
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>tibble with columns site_number, patnum, is_ur, max_visit_mean,
 max_visit_sd, ae_per_visit_mean, visit, n_ae</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>maximum visit number will be sampled from normal distribution with
 characteristics derived from max_visit_mean and max_visit_sd, while the ae
 per visit will be sampled from a poisson distribution described by
 ae_per_visit_mean.</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu">sim_test_data_study</span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/which.html" class="external-link">which</a></span><span class="op">(</span><span class="va">df_visit</span><span class="op">$</span><span class="va">patnum</span> <span class="op">==</span> <span class="st">"P000001"</span><span class="op">)</span>,<span class="op">]</span></span></span>
@@ -236,27 +195,23 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 1 more variable: n_ae &lt;int&gt;</span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/reference/sim_ur.html b/docs/reference/sim_ur.html
new file mode 100644
index 0000000..d397d38
--- /dev/null
+++ b/docs/reference/sim_ur.html
@@ -0,0 +1,129 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>simulate under-reporting — sim_ur • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="simulate under-reporting — sim_ur"><meta name="description" content="we remove a fraction of AEs from a specific site"><meta property="og:description" content="we remove a fraction of AEs from a specific site"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+
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+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
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+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>simulate under-reporting</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_ur.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>we remove a fraction of AEs from a specific site</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_ur</span><span class="op">(</span><span class="va">df_visit</span>, <span class="va">study_id</span>, <span class="va">site_number</span>, <span class="va">ur_rate</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit-">df_visit, <a class="anchor" aria-label="anchor" href="#arg-df-visit-"></a></dt>
+<dd><p>dataframe</p></dd>
+
+
+<dt id="arg-study-id-">study_id, <a class="anchor" aria-label="anchor" href="#arg-study-id-"></a></dt>
+<dd><p>character</p></dd>
+
+
+<dt id="arg-site-number-">site_number, <a class="anchor" aria-label="anchor" href="#arg-site-number-"></a></dt>
+<dd><p>character</p></dd>
+
+
+<dt id="arg-ur-rate-">ur_rate, <a class="anchor" aria-label="anchor" href="#arg-ur-rate-"></a></dt>
+<dd><p>double</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>we determine the absolute number of AEs per patient for removal.
+Then them remove them at the first visit.
+We intentionally allow fractions</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
+<span class="r-in"><span>                                 frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">df_visit</span><span class="op">$</span><span class="va">study_id</span> <span class="op">&lt;-</span> <span class="st">"A"</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">df_ur</span> <span class="op">&lt;-</span> <span class="fu">sim_ur</span><span class="op">(</span><span class="va">df_visit</span>, <span class="st">"A"</span>, site_number <span class="op">=</span> <span class="st">"S0001"</span>, ur_rate <span class="op">=</span> <span class="fl">0.35</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Example cumulated AE for first patient with 35% under-reporting</span></span></span>
+<span class="r-in"><span><span class="va">df_ur</span><span class="op">[</span><span class="va">df_ur</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="st">"S0001"</span> <span class="op">&amp;</span> <span class="va">df_ur</span><span class="op">$</span><span class="va">patnum</span> <span class="op">==</span> <span class="st">"P000001"</span>,<span class="op">]</span><span class="op">$</span><span class="va">n_ae</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 0.0 0.6 0.6 1.6 1.6 1.6 1.6 1.6 1.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Example cumulated AE for first patient with no under-reporting</span></span></span>
+<span class="r-in"><span><span class="va">df_visit</span><span class="op">[</span><span class="va">df_visit</span><span class="op">$</span><span class="va">site_number</span> <span class="op">==</span> <span class="st">"S0001"</span> <span class="op">&amp;</span> <span class="va">df_visit</span><span class="op">$</span><span class="va">patnum</span> <span class="op">==</span> <span class="st">"P000001"</span>,<span class="op">]</span><span class="op">$</span><span class="va">n_ae</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 1 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4</span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
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diff --git a/docs/reference/sim_ur_scenarios.html b/docs/reference/sim_ur_scenarios.html
index 2d23385..5b78ad3 100644
--- a/docs/reference/sim_ur_scenarios.html
+++ b/docs/reference/sim_ur_scenarios.html
@@ -1,109 +1,66 @@
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-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Simulate Under-Reporting Scenarios — sim_ur_scenarios • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Simulate Under-Reporting Scenarios — sim_ur_scenarios"><meta property="og:description" content="Use with simulated portfolio data to generate under-reporting
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+stats for specified scenarios."><meta property="og:description" content="Use with simulated portfolio data to generate under-reporting
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+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
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-    <h1>Simulate Under-Reporting Scenarios</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
-    <div class="hidden name"><code>sim_ur_scenarios.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Simulate Under-Reporting Scenarios</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simulate_test_data.R" class="external-link"><code>R/simulate_test_data.R</code></a></small>
+      <div class="d-none name"><code>sim_ur_scenarios.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Use with simulated portfolio data to generate under-reporting
 stats for specified scenarios.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">sim_ur_scenarios</span><span class="op">(</span></span>
 <span>  <span class="va">df_portf</span>,</span>
 <span>  extra_ur_sites <span class="op">=</span> <span class="fl">3</span>,</span>
@@ -114,61 +71,66 @@ <h1>Simulate Under-Reporting Scenarios</h1>
 <span>  parallel <span class="op">=</span> <span class="cn">FALSE</span>,</span>
 <span>  progress <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  site_aggr_args <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span>
-<span>  eval_sites_args <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span></span>
+<span>  eval_sites_args <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  check <span class="op">=</span> <span class="cn">TRUE</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_portf</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-portf">df_portf<a class="anchor" aria-label="anchor" href="#arg-df-portf"></a></dt>
 <dd><p>dataframe as returned by <code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio</a></code></p></dd>
 
 
-<dt>extra_ur_sites</dt>
+<dt id="arg-extra-ur-sites">extra_ur_sites<a class="anchor" aria-label="anchor" href="#arg-extra-ur-sites"></a></dt>
 <dd><p>numeric, set maximum number of additional
 under-reporting sites, see details Default: 3</p></dd>
 
 
-<dt>ur_rate</dt>
+<dt id="arg-ur-rate">ur_rate<a class="anchor" aria-label="anchor" href="#arg-ur-rate"></a></dt>
 <dd><p>numeric vector, set under-reporting rates for scenarios
 Default: c(0.25, 0.5)</p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>integer, denotes number of simulations, default = 1000</p></dd>
 
 
-<dt>poisson_test</dt>
+<dt id="arg-poisson-test">poisson_test<a class="anchor" aria-label="anchor" href="#arg-poisson-test"></a></dt>
 <dd><p>logical, calculates poisson.test pvalue</p></dd>
 
 
-<dt>prob_lower</dt>
+<dt id="arg-prob-lower">prob_lower<a class="anchor" aria-label="anchor" href="#arg-prob-lower"></a></dt>
 <dd><p>logical, calculates probability for getting a lower value</p></dd>
 
 
-<dt>parallel</dt>
+<dt id="arg-parallel">parallel<a class="anchor" aria-label="anchor" href="#arg-parallel"></a></dt>
 <dd><p>logical, use parallel processing see details, Default: FALSE</p></dd>
 
 
-<dt>progress</dt>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
 <dd><p>logical, show progress bar, Default: TRUE</p></dd>
 
 
-<dt>site_aggr_args</dt>
+<dt id="arg-site-aggr-args">site_aggr_args<a class="anchor" aria-label="anchor" href="#arg-site-aggr-args"></a></dt>
 <dd><p>named list of parameters passed to
 <code><a href="site_aggr.html">site_aggr</a></code>, Default: list()</p></dd>
 
 
-<dt>eval_sites_args</dt>
+<dt id="arg-eval-sites-args">eval_sites_args<a class="anchor" aria-label="anchor" href="#arg-eval-sites-args"></a></dt>
 <dd><p>named list of parameters passed to
 <code><a href="eval_sites.html">eval_sites</a></code>, Default: list()</p></dd>
 
-</dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
 
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+<dt id="arg-check">check<a class="anchor" aria-label="anchor" href="#arg-check"></a></dt>
+<dd><p>logical, perform data check and attempt repair with</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
 
 <dt><strong>site_number</strong></dt>
@@ -227,8 +189,8 @@ <h2>Value</h2>
 
 
 </dl></div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>The function will apply under-reporting scenarios to each site.
 Reducing the number of AEs by a given under-reporting (ur_rate) for all
 patients at the site and add the corresponding under-reporting statistics.
@@ -242,8 +204,8 @@ <h2>Details</h2>
 run. For this to work we need to specify the plan for how the code should
 run, e.g. plan(multisession, workers = 18)</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="sim_test_data_study.html">sim_test_data_study</a></code>
 <code><a href="get_config.html">get_config</a></code>
 <code><a href="sim_test_data_portfolio.html">sim_test_data_portfolio</a></code>
@@ -251,8 +213,8 @@ <h2>See also</h2>
 <code><a href="get_portf_perf.html">get_portf_perf</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \donttest{</span></span></span>
 <span class="r-in"><span><span class="va">df_visit1</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span>n_pat <span class="op">=</span> <span class="fl">100</span>, n_sites <span class="op">=</span> <span class="fl">10</span>,</span></span>
 <span class="r-in"><span>                                 frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>, ur_rate <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></span></span>
@@ -278,44 +240,44 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 20 × 6</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean n_pat</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001                 0.366 0001                4.42           20      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001                 0.366 0002                4.03           21.4    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001                 0.366 0003                4.13           20.2    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001                 0.366 0004                2.58           18.3    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001                 0.366 0005                4.64           17.8    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001                 0.366 0006                2.37           17.6    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001                 0.366 0007                4.80           19.8    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001                 0.366 0008                2              20      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001                 0.366 0009                3.17           19.5    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001                 0.366 0010                6.57           19.9    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 0002                 0.489 0001                2.85           19.9    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 0002                 0.489 0002                3.31           18.1    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 0002                 0.489 0003                3.14           18.1    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> 0002                 0.489 0004                4.74           20.7    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> 0002                 0.489 0005                5.20           19.2    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">16</span> 0002                 0.489 0006                3.30           21      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">17</span> 0002                 0.489 0007                4.07           19.9    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">18</span> 0002                 0.489 0008                4.53           18.5    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">19</span> 0002                 0.489 0009                2.95           21.7    10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">20</span> 0002                 0.489 0010                3.36           20.2    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001                 0.381 0001                2.85           19.9    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001                 0.381 0002                3.31           18.1    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001                 0.381 0003                3.14           18.1    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001                 0.381 0004                4.74           20.7    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001                 0.381 0005                5.20           19.2    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001                 0.381 0006                3.30           21      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001                 0.381 0007                4.07           19.9    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001                 0.381 0008                4.53           18.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001                 0.381 0009                2.95           21.7    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001                 0.381 0010                3.36           20.2    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">11</span> 0002                 0.491 0001                3.03           20.9    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">12</span> 0002                 0.491 0002                2.44           18.8    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">13</span> 0002                 0.491 0003                3.62           20.3    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">14</span> 0002                 0.491 0004                3.79           19.8    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">15</span> 0002                 0.491 0005                4.19           19.3    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">16</span> 0002                 0.491 0006                5.34           18.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">17</span> 0002                 0.491 0007                4.23           18.9    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">18</span> 0002                 0.491 0008                3.28           18.9    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">19</span> 0002                 0.491 0009                5.33           18      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">20</span> 0002                 0.491 0010                3.48           19.1    10</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_portf</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_portfolio.html">sim_test_data_portfolio</a></span><span class="op">(</span><span class="va">df_config</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_portf</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3,834 × 8</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 3,746 × 8</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean patnum</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span> </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001                 0.366 0001                4.42             20 0001  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 3,824 more rows</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001                 0.381 0001                2.85           19.9 0001  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 3,736 more rows</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 2 more variables: visit &lt;int&gt;, n_ae &lt;int&gt;</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_scen</span> <span class="op">&lt;-</span> <span class="fu">sim_ur_scenarios</span><span class="op">(</span><span class="va">df_portf</span>,</span></span>
@@ -330,22 +292,23 @@ <h2>Examples</h2>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_scen</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 140 × 14</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>              <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001           10                9          16               5.44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001           10                9          16               2.72</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001           10                9          16               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001           10                9          16               2.72</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001           10                9          16               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001           10                9          16               2.72</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001           10                9          16               0   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002           10                9          16               4.89</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002           10                9          16               2.44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002           10                9          16               0   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>            <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0001     0001                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0001     0001                     0            0.122     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0001     0001                     0            0.122     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0001     0001                     1            0.222     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0001     0001                     1            0.222     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0001     0001                     2            0.322     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0001     0001                     2            0.322     1      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0001     0002                     0            0         0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0001     0002                     0            0.104     0.5    10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0001     0002                     0            0.104     1      10</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 130 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: mean_ae_study_med75 &lt;dbl&gt;, n_pat_with_med75_study &lt;int&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   extra_ur_sites &lt;dbl&gt;, frac_pat_with_ur &lt;dbl&gt;, ur_rate &lt;dbl&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;, prob_low_prob_ur &lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   mean_ae_site_med75 &lt;dbl&gt;, mean_ae_study_med75 &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   n_pat_with_med75_study &lt;int&gt;, prob_low &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_perf</span> <span class="op">&lt;-</span> <span class="fu"><a href="get_portf_perf.html">get_portf_perf</a></span><span class="op">(</span><span class="va">df_scen</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
@@ -353,41 +316,37 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 27 × 5</span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      fpr thresh extra_ur_sites ur_rate   tpr</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>          <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.858              0     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.858              1     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.858              2     0    0.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.858              0     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.858              1     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.858              2     0.5  1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.858              0     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.858              1     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.858              2     1    1   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.857              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> 0.001  0.529              0     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> 0.001  0.529              1     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> 0.001  0.529              2     0    0.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> 0.001  0.529              0     0.5  1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> 0.001  0.529              1     0.5  1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> 0.001  0.529              2     0.5  0.95</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> 0.001  0.529              0     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> 0.001  0.529              1     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> 0.001  0.529              2     1    1   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> 0.01   0.517              0     0    0.05</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 17 more rows</span></span>
 <span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
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diff --git a/docs/reference/simaerep.html b/docs/reference/simaerep.html
index 676fe58..e809dc7 100644
--- a/docs/reference/simaerep.html
+++ b/docs/reference/simaerep.html
@@ -1,245 +1,220 @@
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-      <a href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a>
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-    <li>
-      <a href="../articles/over.html">Over-Reporting Probability</a>
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+</script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
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+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
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-
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-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>create simaerep object</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
-    <div class="hidden name"><code>simaerep.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Create simaerep object</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
+      <div class="d-none name"><code>simaerep.Rd</code></div>
     </div>
 
-    <div class="ref-description">
-    <p>simulate AE under-reporting probabilities</p>
+    <div class="ref-description section level2">
+    <p>Simulate AE under-reporting probabilities.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">simaerep</span><span class="op">(</span></span>
 <span>  <span class="va">df_visit</span>,</span>
+<span>  r <span class="op">=</span> <span class="fl">1000</span>,</span>
+<span>  check <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  under_only <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  visit_med75 <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  inframe <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  progress <span class="op">=</span> <span class="cn">TRUE</span>,</span>
 <span>  param_site_aggr <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>method <span class="op">=</span> <span class="st">"med75_adj"</span>, min_pat_pool <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span>,</span>
 <span>  param_sim_sites <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>r <span class="op">=</span> <span class="fl">1000</span>, poisson_test <span class="op">=</span> <span class="cn">FALSE</span>, prob_lower <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span>
 <span>  param_eval_sites <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>method <span class="op">=</span> <span class="st">"BH"</span><span class="op">)</span>,</span>
-<span>  progress <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  check <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  env <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sys.parent.html" class="external-link">parent.frame</a></span><span class="op">(</span><span class="op">)</span>,</span>
-<span>  under_only <span class="op">=</span> <span class="cn">TRUE</span></span>
+<span>  env <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sys.parent.html" class="external-link">parent.frame</a></span><span class="op">(</span><span class="op">)</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
-<dd><p>data frame with columns: study_id, site_number, patnum, visit,
-n_ae</p></dd>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
 
 
-<dt>param_site_aggr</dt>
-<dd><p>list of parameters passed to <a href="site_aggr.html">site_aggr()</a>,
-Default: list(method = "med75_adj", min_pat_pool = 0.2)</p></dd>
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
+<dd><p>Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.</p></dd>
 
 
-<dt>param_sim_sites</dt>
-<dd><p>list of parameters passed to <a href="sim_sites.html">sim_sites()</a>,
-Default: list(r = 1000, poisson_test = FALSE, prob_lower = TRUE)</p></dd>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
+<dd><p>Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.</p></dd>
 
 
-<dt>param_eval_sites</dt>
-<dd><p>list of parameters passed to
-<a href="eval_sites.html">eval_sites()</a>, Default: list(method = "BH")</p></dd>
+<dt id="arg-check">check<a class="anchor" aria-label="anchor" href="#arg-check"></a></dt>
+<dd><p>Logical, perform data check and attempt repair with
+<code><a href="check_df_visit.html">check_df_visit()</a></code>. Computationally expensive on large data sets. Default:
+TRUE.</p></dd>
 
 
-<dt>progress</dt>
-<dd><p>logical, display progress bar, Default = TRUE</p></dd>
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
+<dd><p>Logical, compute under-reporting probabilities only.
+Supersedes under_only parameter passed to <code><a href="eval_sites.html">eval_sites()</a></code> and <code><a href="sim_sites.html">sim_sites()</a></code>.
+Default: TRUE.</p></dd>
 
 
-<dt>check</dt>
-<dd><p>logical, perform data check and attempt repair with
-<a href="check_df_visit.html">check_df_visit()</a>, computationally expensive on large data
-sets. Default: TRUE</p></dd>
+<dt id="arg-visit-med-">visit_med75<a class="anchor" aria-label="anchor" href="#arg-visit-med-"></a></dt>
+<dd><p>Logical, should evaluation point visit_med75 be used.
+Default: TRUE.</p></dd>
 
 
-<dt>env</dt>
-<dd><p>optional, provide environment of original visit data, Default:
-parent.frame()</p></dd>
+<dt id="arg-inframe">inframe<a class="anchor" aria-label="anchor" href="#arg-inframe"></a></dt>
+<dd><p>Logical, only table operations to be used; does not require
+visit_med75. Compatible with dbplyr supported database backends.</p></dd>
 
 
-<dt>under_only, </dt>
-<dd><p>logical compute under-reporting probabilities only,
-superseeds under_only parameter passed to <a href="eval_sites.html">eval_sites()</a> and
-<a href="sim_sites.html">sim_sites()</a>, Default: TRUE</p></dd>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
+<dd><p>Logical, display progress bar. Default: TRUE.</p></dd>
 
-</dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
 
-<p>simaerep object</p>
+<dt id="arg-param-site-aggr">param_site_aggr<a class="anchor" aria-label="anchor" href="#arg-param-site-aggr"></a></dt>
+<dd><p>List of parameters passed to <code><a href="site_aggr.html">site_aggr()</a></code>. Default:
+list(method = "med75_adj", min_pat_pool = 0.2).</p></dd>
+
+
+<dt id="arg-param-sim-sites">param_sim_sites<a class="anchor" aria-label="anchor" href="#arg-param-sim-sites"></a></dt>
+<dd><p>List of parameters passed to <code><a href="sim_sites.html">sim_sites()</a></code>. Default:
+list(r = 1000, poisson_test = FALSE, prob_lower = TRUE).</p></dd>
+
+
+<dt id="arg-param-eval-sites">param_eval_sites<a class="anchor" aria-label="anchor" href="#arg-param-eval-sites"></a></dt>
+<dd><p>List of parameters passed to <code><a href="eval_sites.html">eval_sites()</a></code>. Default:
+list(method = "BH").</p></dd>
+
+
+<dt id="arg-env">env<a class="anchor" aria-label="anchor" href="#arg-env"></a></dt>
+<dd><p>Optional, provide environment of original visit data. Default:
+parent.frame().</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>A simaerep object.</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
-    <p>executes <a href="site_aggr.html">site_aggr()</a>, <a href="sim_sites.html">sim_sites()</a> and
-<a href="eval_sites.html">eval_sites()</a> on original visit data and stores all
-intermediate results. Stores lazy reference to original visit data for
-facilitated plotting using generic plot(x).</p>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>Executes <code><a href="site_aggr.html">site_aggr()</a></code>, <code><a href="sim_sites.html">sim_sites()</a></code>, and <code><a href="eval_sites.html">eval_sites()</a></code> on original
+visit data and stores all intermediate results. Stores lazy reference to
+original visit data for facilitated plotting using generic plot(x).</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
-    <div class="dont-index"><p><a href="site_aggr.html">site_aggr()</a>, <a href="sim_sites.html">sim_sites()</a>,
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p><code><a href="site_aggr.html">site_aggr()</a></code>, <code><a href="sim_sites.html">sim_sites()</a></code>, <code><a href="eval_sites.html">eval_sites()</a></code>, <code><a href="orivisit.html">orivisit()</a></code>,
+<code><a href="plot.simaerep.html">plot.simaerep()</a></code></p>
+<p><a href="site_aggr.html">site_aggr()</a>, <a href="sim_sites.html">sim_sites()</a>,
 <a href="eval_sites.html">eval_sites()</a>, <a href="orivisit.html">orivisit()</a>,
 <a href="plot.simaerep.html">plot.simaerep()</a></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>  n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
 <span class="r-in"><span>  frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>,</span></span>
 <span class="r-in"><span>  ur_rate <span class="op">=</span> <span class="fl">0.6</span></span></span>
 <span class="r-in"><span><span class="op">)</span></span></span>
-<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">df_visit</span><span class="op">$</span><span class="va">study_id</span> <span class="op">&lt;-</span> <span class="st">"A"</span></span></span>
-<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">aerep</span> <span class="op">&lt;-</span> <span class="fu">simaerep</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></span>
-<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="va">aerep</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> simaerep object:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Check aerep$df_eval prob_low_prob_ur column for AE under-reporting probabilites.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Plot results using plot() generic.</span>
-<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">aerep</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> List of 7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> List of 11</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ visit           :List of 3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ dim       : int [1:2] 1969 9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ dim       : int [1:2] 1972 9</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ df_summary: tibble [1 × 5] (S3: tbl_df/tbl/data.frame)</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_studies : int 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_sites   : int 5</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_patients: int 100</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_visits  : int 1969</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_aes     : int 703</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_visits  : int 1972</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..$ n_aes     : int 705</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ str_call  : chr "df_visit"</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..- attr(*, "class")= chr "orivisit"</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ df_site         : tibble [5 × 6] (S3: tbl_df/tbl/data.frame)</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ study_id          : chr [1:5] "A" "A" "A" "A" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ site_number       : chr [1:5] "S0001" "S0002" "S0003" "S0004" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat             : int [1:5] 20 20 20 20 20</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75  : int [1:5] 17 18 17 20 16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75  : num [1:5] 18 18 17 20 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ visit_med75       : Named num [1:5] 17 15 16 15 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..- attr(*, "names")= chr [1:5] "80%" "80%" "80%" "80%" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75: num [1:5] 3.06 2.56 8.53 6.4 8.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75: num [1:5] 3.11 2.56 8.53 6.4 8.38</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ df_sim_sites    : tibble [5 × 9] (S3: tbl_df/tbl/data.frame)</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ study_id              : chr [1:5] "A" "A" "A" "A" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ site_number           : chr [1:5] "S0001" "S0002" "S0003" "S0004" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat                 : int [1:5] 20 20 20 20 20</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75      : int [1:5] 17 18 17 20 16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75      : num [1:5] 18 18 17 20 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ visit_med75           : Named num [1:5] 17 15 16 15 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..- attr(*, "names")= chr [1:5] "80%" "80%" "80%" "80%" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75    : num [1:5] 3.06 2.56 8.53 6.4 8.38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.18 5.23 5.19 5.31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75    : num [1:5] 3.11 2.56 8.53 6.4 8.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.21 5.26 5.21 5.34</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75_study: int [1:5] 59 72 66 70 67</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prob_low              : num [1:5] 0 0 1 1 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ df_eval         : tibble [5 × 11] (S3: tbl_df/tbl/data.frame)</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ study_id              : chr [1:5] "A" "A" "A" "A" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ site_number           : chr [1:5] "S0001" "S0002" "S0003" "S0004" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat                 : int [1:5] 20 20 20 20 20</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75      : int [1:5] 17 18 17 20 16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75      : num [1:5] 18 18 17 20 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ visit_med75           : Named num [1:5] 17 15 16 15 16</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   .. ..- attr(*, "names")= chr [1:5] "80%" "80%" "80%" "80%" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75    : num [1:5] 3.06 2.56 8.53 6.4 8.38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.18 5.23 5.19 5.31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_site_med75    : num [1:5] 3.11 2.56 8.53 6.4 8.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.21 5.26 5.21 5.34</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ n_pat_with_med75_study: int [1:5] 59 72 66 70 67</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prob_low              : num [1:5] 0 0 1 1 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prob_low_adj          : num [1:5] 0 0 1 1 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ prob_low_prob_ur      : num [1:5] 1 1 0 0 0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ r               : num 1000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ visit_med75     : logi TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ inframe         : logi FALSE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ under_only      : logi TRUE</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ param_site_aggr :List of 2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ method      : chr "med75_adj"</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ min_pat_pool: num 0.2</span>
@@ -252,30 +227,88 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ method    : chr "BH"</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   ..$ under_only: logi TRUE</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  - attr(*, "class")= chr "simaerep"</span>
-<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span>  <span class="co"># In-frame table operations</span></span></span>
+<span class="r-in"><span>  <span class="fu">simaerep</span><span class="op">(</span><span class="va">df_visit</span>, inframe <span class="op">=</span> <span class="cn">TRUE</span>, visit_med75 <span class="op">=</span> <span class="cn">FALSE</span>, under_only <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 13</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001                       0.183     76    415    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                       0.186     75    403    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003                       0.496    187    377    20    0.999</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004                       0.453    180    397    20    0.987</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005                       0.492    187    380    20    0.996</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 6 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, prob_high &lt;dbl&gt;, prob_high_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_high_prob_or &lt;dbl&gt;</span></span>
+<span class="r-in"><span>  <span class="fu">simaerep</span><span class="op">(</span><span class="va">df_visit</span>, inframe <span class="op">=</span> <span class="cn">TRUE</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span>, under_only <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 15</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001                       0.183     56    306    18    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                       0.170     46    270    18    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003                       0.533    145    272    17    1    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004                       0.427    128    300    20    0.892</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005                       0.523    134    256    16    0.996</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, prob_high &lt;dbl&gt;, prob_high_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_high_prob_or &lt;dbl&gt;, n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;</span></span>
+<span class="r-in"><span>  <span class="co"># Database example</span></span></span>
+<span class="r-in"><span>  <span class="va">con</span> <span class="op">&lt;-</span> <span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbConnect.html" class="external-link">dbConnect</a></span><span class="op">(</span><span class="fu">duckdb</span><span class="fu">::</span><span class="fu"><a href="https://r.duckdb.org/reference/duckdb.html" class="external-link">duckdb</a></span><span class="op">(</span><span class="op">)</span>, dbdir <span class="op">=</span> <span class="st">":memory:"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">df_r</span> <span class="op">&lt;-</span> <span class="fu">tibble</span><span class="fu">::</span><span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>rep <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_visit</span>, <span class="st">"visit"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_r</span>, <span class="st">"r"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">tbl_visit</span> <span class="op">&lt;-</span> <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"visit"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">tbl_r</span> <span class="op">&lt;-</span> <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"r"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu">simaerep</span><span class="op">(</span><span class="va">tbl_visit</span>, r <span class="op">=</span> <span class="va">tbl_r</span>, inframe <span class="op">=</span> <span class="cn">TRUE</span>, visit_med75 <span class="op">=</span> <span class="cn">FALSE</span>, under_only <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Source:     SQL [5 x 13]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Ordered by: study_id, site_number</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0005                       0.492    187    380    20    0.998</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0003                       0.496    187    377    20    0.998</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0004                       0.453    180    397    20    0.987</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0001                       0.183     76    415    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0002                       0.186     75    403    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 6 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, prob_high &lt;dbl&gt;, prob_high_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_high_prob_or &lt;dbl&gt;</span></span>
+<span class="r-in"><span>  <span class="fu">simaerep</span><span class="op">(</span><span class="va">tbl_visit</span>, r <span class="op">=</span> <span class="va">tbl_r</span>, inframe <span class="op">=</span> <span class="cn">TRUE</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span>, under_only <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Source:     SQL [5 x 15]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Ordered by: study_id, site_number</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0003                       0.533    145    272    17    1    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0005                       0.523    134    256    16    1    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0004                       0.427    128    300    20    0.908</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0002                       0.170     46    270    18    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0001                       0.183     56    306    18    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 8 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, prob_high &lt;dbl&gt;, prob_high_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_high_prob_or &lt;dbl&gt;, n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;int&gt;</span></span>
+<span class="r-in"><span>  <span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbDisconnect.html" class="external-link">dbDisconnect</a></span><span class="op">(</span><span class="va">con</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
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diff --git a/docs/reference/simaerep_inframe.html b/docs/reference/simaerep_inframe.html
new file mode 100644
index 0000000..99ebe2b
--- /dev/null
+++ b/docs/reference/simaerep_inframe.html
@@ -0,0 +1,207 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>simulate in dataframe — simaerep_inframe • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="simulate in dataframe — simaerep_inframe"><meta name="description" content="simulate in dataframe"><meta property="og:description" content="simulate in dataframe"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.5.0.900</small>
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+
+    <div id="navbar" class="collapse navbar-collapse ms-3">
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../index.html"><span class="fa fas fa-home fa-lg"></span></a></li>
+<li class="nav-item"><a class="nav-link" href="../articles/intro.html">Get Started</a></li>
+<li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
+  </ul></li>
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+      </ul></div>
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+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>simulate in dataframe</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/S3_simaerep.R" class="external-link"><code>R/S3_simaerep.R</code></a></small>
+      <div class="d-none name"><code>simaerep_inframe.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>simulate in dataframe</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">simaerep_inframe</span><span class="op">(</span></span>
+<span>  <span class="va">df_visit</span>,</span>
+<span>  r <span class="op">=</span> <span class="fl">1000</span>,</span>
+<span>  under_only <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  visit_med75 <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  check <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  param_site_aggr <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>method <span class="op">=</span> <span class="st">"med75_adj"</span>, min_pat_pool <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span>,</span>
+<span>  param_eval_sites <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>method <span class="op">=</span> <span class="st">"BH"</span><span class="op">)</span>,</span>
+<span>  env <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/sys.parent.html" class="external-link">parent.frame</a></span><span class="op">(</span><span class="op">)</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
+<dd><p>Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.</p></dd>
+
+
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
+<dd><p>Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.</p></dd>
+
+
+<dt id="arg-under-only">under_only<a class="anchor" aria-label="anchor" href="#arg-under-only"></a></dt>
+<dd><p>Logical, compute under-reporting probabilities only.
+Supersedes under_only parameter passed to <code><a href="eval_sites.html">eval_sites()</a></code> and <code><a href="sim_sites.html">sim_sites()</a></code>.
+Default: TRUE.</p></dd>
+
+
+<dt id="arg-visit-med-">visit_med75<a class="anchor" aria-label="anchor" href="#arg-visit-med-"></a></dt>
+<dd><p>Logical, should evaluation point visit_med75 be used.
+Default: TRUE.</p></dd>
+
+
+<dt id="arg-check">check<a class="anchor" aria-label="anchor" href="#arg-check"></a></dt>
+<dd><p>Logical, perform data check and attempt repair with
+<code><a href="check_df_visit.html">check_df_visit()</a></code>. Computationally expensive on large data sets. Default:
+TRUE.</p></dd>
+
+
+<dt id="arg-param-site-aggr">param_site_aggr<a class="anchor" aria-label="anchor" href="#arg-param-site-aggr"></a></dt>
+<dd><p>List of parameters passed to <code><a href="site_aggr.html">site_aggr()</a></code>. Default:
+list(method = "med75_adj", min_pat_pool = 0.2).</p></dd>
+
+
+<dt id="arg-param-eval-sites">param_eval_sites<a class="anchor" aria-label="anchor" href="#arg-param-eval-sites"></a></dt>
+<dd><p>List of parameters passed to <code><a href="eval_sites.html">eval_sites()</a></code>. Default:
+list(method = "BH").</p></dd>
+
+
+<dt id="arg-env">env<a class="anchor" aria-label="anchor" href="#arg-env"></a></dt>
+<dd><p>Optional, provide environment of original visit data. Default:
+parent.frame().</p></dd>
+
+</dl></div>
+
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span> n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
+<span class="r-in"><span> n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
+<span class="r-in"><span> frac_site_with_ur <span class="op">=</span> <span class="fl">0.4</span>,</span></span>
+<span class="r-in"><span> ur_rate <span class="op">=</span> <span class="fl">0.6</span></span></span>
+<span class="r-in"><span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">df_visit</span><span class="op">$</span><span class="va">study_id</span> <span class="op">&lt;-</span> <span class="st">"A"</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">simaerep_inframe</span><span class="op">(</span><span class="va">df_visit</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> simaerep object:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Plot results using plot() generic.</span>
+<span class="r-in"><span><span class="fu">simaerep_inframe</span><span class="op">(</span><span class="va">df_visit</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 5 × 12</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;int&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0001                       0.261     61    234    18    0.006</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                       0.201     61    304    19    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0003                       0.426    116    272    17    0.894</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004                       0.489    130    266    19    0.994</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005                       0.481    139    289    17    0.989</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 5 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;dbl&gt;</span></span>
+<span class="r-in"><span><span class="co"># \donttest{</span></span></span>
+<span class="r-in"><span><span class="co"># Database</span></span></span>
+<span class="r-in"><span><span class="va">con</span> <span class="op">&lt;-</span> <span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbConnect.html" class="external-link">dbConnect</a></span><span class="op">(</span><span class="fu">duckdb</span><span class="fu">::</span><span class="fu"><a href="https://r.duckdb.org/reference/duckdb.html" class="external-link">duckdb</a></span><span class="op">(</span><span class="op">)</span>, dbdir <span class="op">=</span> <span class="st">":memory:"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">df_r</span> <span class="op">&lt;-</span> <span class="fu">tibble</span><span class="fu">::</span><span class="fu"><a href="https://tibble.tidyverse.org/reference/tibble.html" class="external-link">tibble</a></span><span class="op">(</span>rep <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1000</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_visit</span>, <span class="st">"visit"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/copy_to.html" class="external-link">copy_to</a></span><span class="op">(</span><span class="va">con</span>, <span class="va">df_r</span>, <span class="st">"r"</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">tbl_visit</span> <span class="op">&lt;-</span> <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"visit"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tbl_r</span> <span class="op">&lt;-</span> <span class="fu">dplyr</span><span class="fu">::</span><span class="fu"><a href="https://dplyr.tidyverse.org/reference/tbl.html" class="external-link">tbl</a></span><span class="op">(</span><span class="va">con</span>, <span class="st">"r"</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">simaerep_inframe</span><span class="op">(</span><span class="va">tbl_visit</span>, r <span class="op">=</span> <span class="va">tbl_r</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Source:     SQL [5 x 10]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Ordered by: study_id, site_number</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0003                       0.433    165    381    20    0.821</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0001                       0.239     84    352    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0002                       0.210     83    396    20    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0004                       0.480    184    383    20    0.985</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0005                       0.470    181    385    20    0.962</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 3 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;</span></span>
+<span class="r-in"><span><span class="fu">simaerep_inframe</span><span class="op">(</span><span class="va">tbl_visit</span>, r <span class="op">=</span> <span class="va">tbl_r</span>, visit_med75 <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">$</span><span class="va">df_eval</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Source:     SQL [5 x 12]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:]</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># Ordered by: study_id, site_number</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   study_id site_number events_per_visit_site events visits n_pat prob_low</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>                       <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span> <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;dbl&gt;</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">1</span> A        S0004                       0.489    130    266    19    0.986</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">2</span> A        S0002                       0.201     61    304    19    0    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">3</span> A        S0005                       0.481    139    289    17    0.987</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">4</span> A        S0003                       0.426    116    272    17    0.894</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">5</span> A        S0001                       0.261     61    234    18    0.011</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 5 more variables: events_per_visit_study &lt;dbl&gt;, prob_low_adj &lt;dbl&gt;,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   prob_low_prob_ur &lt;dbl&gt;, n_pat_with_med75 &lt;dbl&gt;, visit_med75 &lt;int&gt;</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu">DBI</span><span class="fu">::</span><span class="fu"><a href="https://dbi.r-dbi.org/reference/dbDisconnect.html" class="external-link">dbDisconnect</a></span><span class="op">(</span><span class="va">con</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
+</div>
+
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
+</div>
+
+    </footer></div>
+
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+  </body></html>
+
diff --git a/docs/reference/site_aggr.html b/docs/reference/site_aggr.html
index a771302..45d2aeb 100644
--- a/docs/reference/site_aggr.html
+++ b/docs/reference/site_aggr.html
@@ -1,138 +1,94 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Aggregate from visit to site level. — site_aggr • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate from visit to site level. — site_aggr"><meta property="og:description" content="Calculates visit_med75, n_pat_with_med75 and mean_ae_site_med75"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Aggregate from visit to site level. — site_aggr • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Aggregate from visit to site level. — site_aggr"><meta name="description" content="Calculates visit_med75, n_pat_with_med75 and mean_ae_site_med75"><meta property="og:description" content="Calculates visit_med75, n_pat_with_med75 and mean_ae_site_med75"><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/intro.html">Introduction</a></li>
+    <li><a class="dropdown-item" href="../articles/inframe.html">Inframe Simulation Using Table Operations</a></li>
+    <li><a class="dropdown-item" href="../articles/over.html">Over-Reporting Probability</a></li>
+    <li><a class="dropdown-item" href="../articles/performance.html">Statistical Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/funnel_perf.html">Comparing {simaerep} and Funnel Plot Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/sas_files.html">SAS Files as a Data Source</a></li>
+    <li><a class="dropdown-item" href="../articles/portfolio_perf.html">(superseeded) simaerep Portfolio Performance</a></li>
+    <li><a class="dropdown-item" href="../articles/visit_med75.html">Adjusted Evaluation Point visit_med75</a></li>
+    <li><a class="dropdown-item" href="../articles/usability_limits.html">Address Usability Limits of Bootstrap Method</a></li>
+    <li><a class="dropdown-item" href="../articles/check_poisson.html">Check Poisson Test Applicability</a></li>
+    <li><a class="dropdown-item" href="../articles/visits_or_days.html">Aggregate AEs by Days or Visit?</a></li>
   </ul></li>
-<li>
-  <a href="../news/index.html">Changelog</a>
-</li>
-      </ul><ul class="nav navbar-nav navbar-right"><li>
-  <a href="https://github.com/openpharma/simaerep/" class="external-link">
-    <span class="fab fa-github fa-lg"></span>
-     
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-</li>
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-</div><!--/.navbar -->
-
-      
-
-      </header><div class="row">
-  <div class="col-md-9 contents">
-    <div class="page-header">
-    <h1>Aggregate from visit to site level.</h1>
-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
-    <div class="hidden name"><code>site_aggr.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Aggregate from visit to site level.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/simaerep.R" class="external-link"><code>R/simaerep.R</code></a></small>
+      <div class="d-none name"><code>site_aggr.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Calculates visit_med75, n_pat_with_med75 and mean_ae_site_med75</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">site_aggr</span><span class="op">(</span><span class="va">df_visit</span>, method <span class="op">=</span> <span class="st">"med75_adj"</span>, min_pat_pool <span class="op">=</span> <span class="fl">0.2</span>, check <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>df_visit</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-df-visit">df_visit<a class="anchor" aria-label="anchor" href="#arg-df-visit"></a></dt>
 <dd><p>dataframe with columns: study_id, site_number, patnum, visit,
 n_ae</p></dd>
 
 
-<dt>method</dt>
+<dt id="arg-method">method<a class="anchor" aria-label="anchor" href="#arg-method"></a></dt>
 <dd><p>character, one of c("med75", "med75_adj") defining method for
 defining evaluation point visit_med75 (see details), Default: "med75_adj"</p></dd>
 
 
-<dt>min_pat_pool, </dt>
+<dt id="arg-min-pat-pool-">min_pat_pool, <a class="anchor" aria-label="anchor" href="#arg-min-pat-pool-"></a></dt>
 <dd><p>double, minimum ratio of available patients available for
 sampling. Determines maximum visit_med75 value see Details. Default: 0.2</p></dd>
 
 
-<dt>check, </dt>
+<dt id="arg-check-">check, <a class="anchor" aria-label="anchor" href="#arg-check-"></a></dt>
 <dd><p>logical, perform data check and attempt repair with
 <a href="check_df_visit.html">check_df_visit()</a>, computationally expensive on large data
 sets. Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>dataframe with the following columns:</p><dl><dt><strong>study_id</strong></dt>
 <dd><p>study identification</p></dd>
  <dt><strong>site_number</strong></dt>
 <dd><p>site
@@ -149,10 +105,10 @@ <h2>Value</h2>
  <dt><strong>mean_ae_site_med75</strong></dt>
 <dd><p>mean AE at visit_med75,
 site level</p></dd>
- 
+
 </dl></div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>For determining the visit number at which we are going to evaluate AE
 reporting we take the maximum visit of each patient at the site and take the
 median. Then we multiply with 0.75 which will give us a cut-off point
@@ -164,8 +120,8 @@ <h2>Details</h2>
 of all patients in the study.</p>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">df_visit</span> <span class="op">&lt;-</span> <span class="fu"><a href="sim_test_data_study.html">sim_test_data_study</a></span><span class="op">(</span></span></span>
 <span class="r-in"><span>  n_pat <span class="op">=</span> <span class="fl">100</span>,</span></span>
 <span class="r-in"><span>  n_sites <span class="op">=</span> <span class="fl">5</span>,</span></span>
@@ -183,34 +139,30 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> |study_id |site_number | n_pat| n_pat_with_med75| visit_med75| mean_ae_site_med75|</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> |:--------|:-----------|-----:|----------------:|-----------:|------------------:|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0001       |    20|               19|          15|               2.74|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0002       |    20|               18|          15|               2.56|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0003       |    20|               17|          16|               8.53|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0004       |    20|               20|          15|               6.40|</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0005       |    20|               16|          16|               8.38|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0001       |    20|               18|          15|               2.39|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0002       |    20|               19|          13|               2.68|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0003       |    20|               19|          16|               7.74|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0004       |    20|               16|          17|               8.69|</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> |A        |S0005       |    20|               16|          18|               8.19|</span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
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diff --git a/docs/reference/with_progress_cnd.html b/docs/reference/with_progress_cnd.html
index b142011..4cf8f71 100644
--- a/docs/reference/with_progress_cnd.html
+++ b/docs/reference/with_progress_cnd.html
@@ -1,143 +1,101 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Conditional with_progress. — with_progress_cnd • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Conditional with_progress. — with_progress_cnd"><meta property="og:description" content="Internal function. Use instead of
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Conditional with_progress. — with_progress_cnd • simaerep</title><!-- favicons --><link rel="icon" type="image/png" sizes="16x16" href="../favicon-16x16.png"><link rel="icon" type="image/png" sizes="32x32" href="../favicon-32x32.png"><link rel="apple-touch-icon" type="image/png" sizes="180x180" href="../apple-touch-icon.png"><link rel="apple-touch-icon" type="image/png" sizes="120x120" href="../apple-touch-icon-120x120.png"><link rel="apple-touch-icon" type="image/png" sizes="76x76" href="../apple-touch-icon-76x76.png"><link rel="apple-touch-icon" type="image/png" sizes="60x60" href="../apple-touch-icon-60x60.png"><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Conditional with_progress. — with_progress_cnd"><meta name="description" content="Internal function. Use instead of
 with_progress within custom functions with progress
-bars."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+bars."><meta property="og:description" content="Internal function. Use instead of
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+bars."><meta property="og:image" content="https://openpharma.github.io/simaerep/logo.png"><!-- Global site tag (gtag.js) - Google Analytics --><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123997499-2"></script><script>
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-    <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/progress.R" class="external-link"><code>R/progress.R</code></a></small>
-    <div class="hidden name"><code>with_progress_cnd.Rd</code></div>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><a class="external-link nav-link" href="https://github.com/openpharma/simaerep/" aria-label="GitHub"><span class="fa fab fa-github fa-lg"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+      <img src="../logo.png" class="logo" alt=""><h1>Conditional <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code>.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/openpharma/simaerep/blob/HEAD/R/progress.R" class="external-link"><code>R/progress.R</code></a></small>
+      <div class="d-none name"><code>with_progress_cnd.Rd</code></div>
     </div>
 
-    <div class="ref-description">
+    <div class="ref-description section level2">
     <p>Internal function. Use instead of
 <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code> within custom functions with progress
 bars.</p>
     </div>
 
-    <div id="ref-usage">
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">with_progress_cnd</span><span class="op">(</span><span class="va">ex</span>, progress <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
     </div>
 
-    <div id="arguments">
-    <h2>Arguments</h2>
-    <dl><dt>ex</dt>
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-ex">ex<a class="anchor" aria-label="anchor" href="#arg-ex"></a></dt>
 <dd><p>expression</p></dd>
 
 
-<dt>progress</dt>
+<dt id="arg-progress">progress<a class="anchor" aria-label="anchor" href="#arg-progress"></a></dt>
 <dd><p>logical, Default: TRUE</p></dd>
 
 </dl></div>
-    <div id="value">
-    <h2>Value</h2>
-    
-
-<p>No return value, called for side effects</p>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>No return value, called for side effects</p>
     </div>
-    <div id="details">
-    <h2>Details</h2>
+    <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>This wrapper adds a progress parameter to <code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code>
 so that we can control the progress bar in the user facing functions. The progressbar
 only shows in interactive mode.</p>
     </div>
-    <div id="see-also">
-    <h2>See also</h2>
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p><code><a href="https://progressr.futureverse.org/reference/with_progress.html" class="external-link">with_progress</a></code></p></div>
     </div>
 
-    <div id="ref-examples">
-    <h2>Examples</h2>
+    <div class="section level2">
+    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/interactive.html" class="external-link">interactive</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span> <span class="fu">with_progress_cnd</span><span class="op">(</span></span></span>
@@ -177,27 +135,23 @@ <h2>Examples</h2>
 <span class="r-in"><span><span class="op">}</span></span></span>
 </code></pre></div>
     </div>
-  </div>
-  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
-    </nav></div>
-</div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
-      <footer><div class="copyright">
-  <p></p><p>Developed by Bjoern Koneswarakantha.</p>
+    <footer><div class="pkgdown-footer-left">
+  <p>Developed by Bjoern Koneswarakantha.</p>
 </div>
 
-<div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+<div class="pkgdown-footer-right">
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.0.</p>
 </div>
 
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+    </footer></div>
+
 
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-  
 
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diff --git a/docs/search.json b/docs/search.json
index fe51488..a79cacd 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -1 +1 @@
-[]
+[{"path":"https://openpharma.github.io/simaerep/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2020 F. Hoffmann-La Roche Ltd simaerep authors Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Check Poisson Test Applicability","text":"","code":"suppressPackageStartupMessages( library(tidyverse) ) suppressPackageStartupMessages( library(knitr) ) suppressPackageStartupMessages( library(furrr) ) suppressPackageStartupMessages( library(future) ) suppressPackageStartupMessages( library(simaerep) )"},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Check Poisson Test Applicability","text":"Perhaps might scenarios one prefers use parametric test vs non-parametric bootstrap-based resampling method calculate AE -reporting. simaerep provides function bootstrap resampling entire study preserving actual site parameters number patients visit_med75. Using pool can check whether p-values calculated poisson.test() represent accurate probabilities.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"test-data-and-standard-processing","dir":"Articles","previous_headings":"Introduction","what":"Test Data and Standard Processing","title":"Check Poisson Test Applicability","text":"simulate three studies varying ae per visit rate use functions already introduced.","code":"df_visit1 <- sim_test_data_study(   n_pat = 1000,   n_sites = 100,   frac_site_with_ur = 0.2,   ur_rate = 0.5,   max_visit_mean = 20,   max_visit_sd = 4,   ae_per_visit_mean = 0.5 )  df_visit1$study_id <- \"ae_per_visit: 0.5\"  df_visit2 <- sim_test_data_study(   n_pat = 1000,   n_sites = 100,   frac_site_with_ur = 0.2,   ur_rate = 0.5,   max_visit_mean = 20,   max_visit_sd = 4,   ae_per_visit_mean = 0.2 )  df_visit2$study_id <- \"ae_per_visit: 0.2\"  df_visit3 <- sim_test_data_study(   n_pat = 1000,   n_sites = 100,   frac_site_with_ur = 0.2,   ur_rate = 0.5,   max_visit_mean = 20,   max_visit_sd = 4,   ae_per_visit_mean = 0.05 )  df_visit3$study_id <- \"ae_per_visit: 0.05\"  df_visit <- bind_rows(df_visit1, df_visit2, df_visit3)  df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit)  df_visit ## # A tibble: 58,505 × 9 ##    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit ##    <chr>   <chr>       <lgl>          <dbl>        <dbl>             <dbl> <int> ##  1 P000001 S0001       TRUE              20            4              0.25     1 ##  2 P000001 S0001       TRUE              20            4              0.25     2 ##  3 P000001 S0001       TRUE              20            4              0.25     3 ##  4 P000001 S0001       TRUE              20            4              0.25     4 ##  5 P000001 S0001       TRUE              20            4              0.25     5 ##  6 P000001 S0001       TRUE              20            4              0.25     6 ##  7 P000001 S0001       TRUE              20            4              0.25     7 ##  8 P000001 S0001       TRUE              20            4              0.25     8 ##  9 P000001 S0001       TRUE              20            4              0.25     9 ## 10 P000001 S0001       TRUE              20            4              0.25    10 ## # ℹ 58,495 more rows ## # ℹ 2 more variables: n_ae <int>, study_id <chr> df_site ## # A tibble: 300 × 6 ##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 ##    <chr>       <chr>       <int>            <dbl>       <dbl>              <dbl> ##  1 ae_per_vis… S0001          10               10          15              0.3   ##  2 ae_per_vis… S0002          10                9          15              0.667 ##  3 ae_per_vis… S0003          10                8          17              0.375 ##  4 ae_per_vis… S0004          10               10          15              0.3   ##  5 ae_per_vis… S0005          10                9          18              0.222 ##  6 ae_per_vis… S0006          10                9          16              0.556 ##  7 ae_per_vis… S0007          10                9          17              0.667 ##  8 ae_per_vis… S0008          10                9          16              0.333 ##  9 ae_per_vis… S0009          10               10          14              0.3   ## 10 ae_per_vis… S0010          10               10          17              0.2   ## # ℹ 290 more rows df_sim_sites ## # A tibble: 300 × 10 ##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 ##    <chr>       <chr>       <int>            <dbl>       <dbl>              <dbl> ##  1 ae_per_vis… S0001          10               10          15              0.3   ##  2 ae_per_vis… S0002          10                9          15              0.667 ##  3 ae_per_vis… S0003          10                8          17              0.375 ##  4 ae_per_vis… S0004          10               10          15              0.3   ##  5 ae_per_vis… S0005          10                9          18              0.222 ##  6 ae_per_vis… S0006          10                9          16              0.556 ##  7 ae_per_vis… S0007          10                9          17              0.667 ##  8 ae_per_vis… S0008          10                9          16              0.333 ##  9 ae_per_vis… S0009          10               10          14              0.3   ## 10 ae_per_vis… S0010          10               10          17              0.2   ## # ℹ 290 more rows ## # ℹ 4 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, ## #   pval <dbl>, prob_low <dbl>"},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"simulate-studies","dir":"Articles","previous_headings":"Introduction","what":"Simulate Studies","title":"Check Poisson Test Applicability","text":"sim_studies() reproduces study hundred times using bootstrap resampling maintaining number patients visit_med75 site.","code":"set.seed(1)  plan(multisession, workers = 6)  df_sim_studies <- sim_studies(df_visit, df_site,                               r = 100,                               parallel = TRUE,                               poisson_test = TRUE,                               prob_lower = TRUE,                               .progress = FALSE)  df_sim_studies ## # A tibble: 30,000 × 8 ##        r study_id     site_number visit_med75 n_pat_with_med75 n_pat_study  pval ##    <dbl> <chr>        <chr>             <dbl>            <dbl>       <dbl> <dbl> ##  1     1 ae_per_visi… S0001                15               10         905 1     ##  2     1 ae_per_visi… S0002                15                9         906 0.673 ##  3     1 ae_per_visi… S0003                17                8         760 1     ##  4     1 ae_per_visi… S0004                15               10         905 1     ##  5     1 ae_per_visi… S0005                18                9         678 0.850 ##  6     1 ae_per_visi… S0006                16                9         828 1     ##  7     1 ae_per_visi… S0007                17                9         759 1     ##  8     1 ae_per_visi… S0008                16                9         828 1     ##  9     1 ae_per_visi… S0009                14               10         942 1     ## 10     1 ae_per_visi… S0010                17               10         758 0.714 ## # ℹ 29,990 more rows ## # ℹ 1 more variable: prob_low <dbl>"},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"check-p-value-probabilities","dir":"Articles","previous_headings":"Introduction","what":"Check p-value Probabilities","title":"Check Poisson Test Applicability","text":"get_ecd_values() uses p-value distribution dataframe returned sim_studies() train empirical cumulative distribution function study used calculate probability specific p-value lower poisson.test p-value returned sim_sites() Note: Dots edge graph cut zero value corresponding axis.  can see p-values poisson.test (x-axis) less match probability represented resampled studies (y-axis), skewness relationship.","code":"df_check_pval <- get_ecd_values(df_sim_studies, df_sim_sites, val_str = \"pval\")  df_check_pval ## # A tibble: 300 × 11 ##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 ##    <chr>       <chr>       <int>            <dbl>       <dbl>              <dbl> ##  1 ae_per_vis… S0001          10               10          15              0.3   ##  2 ae_per_vis… S0002          10                9          15              0.667 ##  3 ae_per_vis… S0003          10                8          17              0.375 ##  4 ae_per_vis… S0004          10               10          15              0.3   ##  5 ae_per_vis… S0005          10                9          18              0.222 ##  6 ae_per_vis… S0006          10                9          16              0.556 ##  7 ae_per_vis… S0007          10                9          17              0.667 ##  8 ae_per_vis… S0008          10                9          16              0.333 ##  9 ae_per_vis… S0009          10               10          14              0.3   ## 10 ae_per_vis… S0010          10               10          17              0.2   ## # ℹ 290 more rows ## # ℹ 5 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, ## #   pval <dbl>, prob_low <dbl>, pval_ecd <dbl> df_check_pval %>%   ggplot(aes(log(pval, base = 10), log(pval_ecd, base = 10))) +     geom_point(alpha = 0.5, size = 2) +     facet_wrap(~ study_id) +     geom_abline(slope = 1, linetype = 2) +     coord_cartesian( xlim = c(-5,0), ylim = c(-5,0) ) +     theme(aspect.ratio = 1)"},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"perform-same-check-on-bootstrapped-probabilities","dir":"Articles","previous_headings":"Introduction","what":"Perform Same Check on Bootstrapped Probabilities","title":"Check Poisson Test Applicability","text":"Note: Dots edge graph cut zero value corresponding axis. tie simulations using 1000 repeats smallest value greater zero get prob_low 0.001 (1e-3).  see probabilities site simulations (x-axis) perfectly match probability represented resampled studies (y-axis).","code":"df_check_prob <- get_ecd_values(df_sim_studies, df_sim_sites, val_str = \"prob_low\")  df_check_prob ## # A tibble: 300 × 11 ##    study_id    site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 ##    <chr>       <chr>       <int>            <dbl>       <dbl>              <dbl> ##  1 ae_per_vis… S0001          10               10          15              0.3   ##  2 ae_per_vis… S0002          10                9          15              0.667 ##  3 ae_per_vis… S0003          10                8          17              0.375 ##  4 ae_per_vis… S0004          10               10          15              0.3   ##  5 ae_per_vis… S0005          10                9          18              0.222 ##  6 ae_per_vis… S0006          10                9          16              0.556 ##  7 ae_per_vis… S0007          10                9          17              0.667 ##  8 ae_per_vis… S0008          10                9          16              0.333 ##  9 ae_per_vis… S0009          10               10          14              0.3   ## 10 ae_per_vis… S0010          10               10          17              0.2   ## # ℹ 290 more rows ## # ℹ 5 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, ## #   pval <dbl>, prob_low <dbl>, prob_low_ecd <dbl> df_check_prob %>%   ggplot(aes(log(prob_low, base = 10), log(prob_low_ecd, base = 10))) +     geom_point(alpha = 0.5, size = 2) +     facet_wrap(~ study_id) +     geom_abline(slope = 1, linetype = 2) +     coord_cartesian( xlim = c(-5,0), ylim = c(-5,0) ) +     theme(aspect.ratio = 1)"},{"path":"https://openpharma.github.io/simaerep/articles/check_poisson.html","id":"conclusion","dir":"Articles","previous_headings":"Introduction","what":"Conclusion","title":"Check Poisson Test Applicability","text":"see bootstrap method gives us accurate probabilities p-values derived poisson.test even though AE generation sample data follows strict poisson process. real clinical trial data different types studies clear whether AE generation truly based pure poisson process recommend use bootstrap method. poisson.test shall used recommend checking applicability just demonstrated clinical data set.","code":"plan(sequential)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(furrr)) suppressPackageStartupMessages(library(future)) suppressPackageStartupMessages(library(simaerep))  plan(multisession, workers = 6)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"install-gsm","dir":"Articles","previous_headings":"","what":"Install {gsm}","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"devtools::install_github(\"Gilead-BioStats/gsm@v1.9.2\", ref = \"main\")"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Comparing {simaerep} and Funnel Plot Performance","text":"{gsm} R package provides standardized Risk Based Quality Monitoring (RBQM) framework clinical trials pairs flexible data pipeline robust reports. also uses Funnel Plots flag outliers provide broader tolerance limits sites low exposure narrower limits sites higher exposure. method different event rate based limits used previous heuristics measure {simaerep} performance. Funnel plots discussed greater detail Zink et al. 2018 One draw backs using funnel plots flagging assume AE rate remains constant course study.","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"load-portfolio-configurations","dir":"Articles","previous_headings":"Prepare Data","what":"Load Portfolio Configurations","title":"Comparing {simaerep} and Funnel Plot Performance","text":"prepared snapshot AE reporting configuration current portfolio. study also measured visit-specific AE rate allows us generate synthetic portfolio flexible AE rates across study.","code":"df_config <- readr::read_csv(\"ae_conf_20240220.csv\") df_ae_rates <- readr::read_csv(\"ae_rates_20240220.csv\")  df_config %>%   head(25) %>%   knitr::kable() df_ae_rates %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"simulate-portfolio","dir":"Articles","previous_headings":"Prepare Data","what":"Simulate Portfolio","title":"Comparing {simaerep} and Funnel Plot Performance","text":"generate two synthetic portfolios AE -reporting sites. One portfolio fixed AE rate visits another one flexible visit-specific AE rate.","code":"df_portf_fix <- sim_test_data_portfolio(df_config, parallel = TRUE, progress = TRUE)  df_portf_fix %>%   head(25) %>%   knitr::kable() df_portf_flex <- sim_test_data_portfolio(df_config, df_ae_rates = df_ae_rates, parallel = TRUE, progress = TRUE)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"compare-ae-rates","dir":"Articles","previous_headings":"Prepare Data","what":"Compare AE rates","title":"Comparing {simaerep} and Funnel Plot Performance","text":"Next confirm different AE rates two synthetic portfolios.   can confirm AE rates “flexible” portfolio constant. Moreover see AE rate profile unique study.","code":"df_rate_fix <- df_portf_fix %>%   mutate(ae_rate = coalesce(n_ae - lag(n_ae), n_ae), .by = c(\"study_id\", \"patnum\")) %>%   summarise(ae_rate = mean(ae_rate), .by = c(\"study_id\", \"visit\")) %>%   mutate(rate = \"fix\")   df_rate_flex <- df_portf_flex %>%   mutate(ae_rate = coalesce(n_ae - lag(n_ae), n_ae), .by = c(\"study_id\", \"patnum\")) %>%   summarise(ae_rate = mean(ae_rate), .by = c(\"study_id\", \"visit\")) %>%   mutate(rate = \"flex\") bind_rows(df_rate_flex, df_rate_fix) %>%   ggplot(aes(visit, ae_rate)) +     geom_line(aes(group = study_id), alpha = 0.2) +     geom_smooth() +     facet_wrap(~ rate) +     labs(title = \"Average AE rates per Study\") bind_rows(df_rate_flex, df_rate_fix) %>%   filter(dense_rank(study_id) <= 16) %>%   ggplot(aes(visit, ae_rate)) +     geom_line(aes(group = rate, color = rate)) +     facet_wrap(~ study_id, scales = \"free\") +     labs(title = \"Average AE rates for Selected Studies\")"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"example","dir":"Articles","previous_headings":"Funnel Plots {gsm}","what":"Example","title":"Comparing {simaerep} and Funnel Plot Performance","text":"demonstrate use {gsm} package simulated portfolios can get good visualisation funnel plot.","code":"get_SUBJ <- function(df_portf) {   df_portf %>%     select(study_id, siteid = site_number, subjid = patnum, timeonstudy = visit) %>%     summarise(timeonstudy = max(timeonstudy), .by = c(study_id, siteid, subjid)) %>%     group_by(study_id) %>%     nest() }   get_AE <- function(df_portf) {   df_portf %>%     select(study_id, subjid = patnum, n_ae) %>%     summarise(n_ae = max(n_ae), .by = c(study_id, subjid)) %>%     filter(n_ae > 0) %>%     mutate(n_ae = map(n_ae, ~ tibble(n = seq(1, .)), .progress = TRUE)) %>%     unnest(n_ae) %>%     select(- n) %>%     group_by(study_id) %>%     nest() }  dfSUBJ_fix <- get_SUBJ(df_portf_fix) dfAE_fix <- get_AE(df_portf_fix) dfInput <- gsm::AE_Map_Raw(list(dfSUBJ = dfSUBJ_fix$data[[1]], dfAE = dfAE_fix$data[[1]])) dfInput ## # A tibble: 113 × 5 ##    SubjectID SiteID Exposure Count  Rate ##    <chr>     <chr>     <int> <int> <dbl> ##  1 0001      4746         16     5 0.312 ##  2 0002      4746         14     3 0.214 ##  3 0003      4747         26     6 0.231 ##  4 0004      4747         26    11 0.423 ##  5 0005      4750         19     5 0.263 ##  6 0006      4750         19     5 0.263 ##  7 0007      4750         20     6 0.3   ##  8 0008      4750         18     3 0.167 ##  9 0009      4815         25     3 0.12  ## 10 0010      4815         28     8 0.286 ## # ℹ 103 more rows dfTransformed <- gsm::Transform_Rate(   dfInput,   strNumeratorCol = \"Count\",   strDenominatorCol = \"Exposure\"   ) dfTransformed ## # A tibble: 44 × 4 ##    GroupID Numerator Denominator Metric ##    <chr>       <int>       <int>  <dbl> ##  1 4746            8          30  0.267 ##  2 4747           17          52  0.327 ##  3 4750           19          76  0.25  ##  4 4815           40         153  0.261 ##  5 4816            9          27  0.333 ##  6 4817            5          31  0.161 ##  7 4818            9          30  0.3   ##  8 4891           48         151  0.318 ##  9 4893           15          40  0.375 ## 10 4932           33         137  0.241 ## # ℹ 34 more rows dfAnalyzed <- gsm::Analyze_NormalApprox(dfTransformed) dfAnalyzed ## # A tibble: 44 × 7 ##    GroupID Numerator Denominator Metric OverallMetric Factor  Score ##    <chr>       <int>       <int>  <dbl>         <dbl>  <dbl>  <dbl> ##  1 4942            6          47  0.128         0.288   1.08 -2.34  ##  2 5166           17          95  0.179         0.288   1.08 -2.27  ##  3 4817            5          31  0.161         0.288   1.08 -1.51  ##  4 5229           12          58  0.207         0.288   1.08 -1.32  ##  5 4932           33         137  0.241         0.288   1.08 -1.18  ##  6 4986           13          58  0.224         0.288   1.08 -1.04  ##  7 4985           28         114  0.246         0.288   1.08 -0.972 ##  8 5084            4          21  0.190         0.288   1.08 -0.954 ##  9 5082            9          41  0.220         0.288   1.08 -0.938 ## 10 4969           14          60  0.233         0.288   1.08 -0.907 ## # ℹ 34 more rows dfFlagged <- gsm::Flag_NormalApprox(dfAnalyzed, vThreshold = c(-3, -2, 2, 3)) dfFlagged ## # A tibble: 44 × 8 ##    GroupID Numerator Denominator Metric OverallMetric Factor  Score  Flag ##    <chr>       <int>       <int>  <dbl>         <dbl>  <dbl>  <dbl> <dbl> ##  1 5194           66         182  0.363         0.288   1.08  2.13      1 ##  2 4942            6          47  0.128         0.288   1.08 -2.34     -1 ##  3 5166           17          95  0.179         0.288   1.08 -2.27     -1 ##  4 4817            5          31  0.161         0.288   1.08 -1.51      0 ##  5 5229           12          58  0.207         0.288   1.08 -1.32      0 ##  6 4932           33         137  0.241         0.288   1.08 -1.18      0 ##  7 4986           13          58  0.224         0.288   1.08 -1.04      0 ##  8 4985           28         114  0.246         0.288   1.08 -0.972     0 ##  9 5084            4          21  0.190         0.288   1.08 -0.954     0 ## 10 5082            9          41  0.220         0.288   1.08 -0.938     0 ## # ℹ 34 more rows dfSummary <- gsm::Summarize(dfFlagged) dfSummary ## # A tibble: 44 × 6 ##    GroupID Numerator Denominator Metric Score  Flag ##    <chr>       <int>       <int>  <dbl> <dbl> <dbl> ##  1 5194           66         182  0.363  2.13     1 ##  2 5166           17          95  0.179 -2.27    -1 ##  3 4942            6          47  0.128 -2.34    -1 ##  4 4968           10          24  0.417  1.34     0 ##  5 4988           16          39  0.410  1.62     0 ##  6 5168           11          27  0.407  1.31     0 ##  7 5311            8          20  0.4    1.06     0 ##  8 5273           16          40  0.4    1.50     0 ##  9 4893           15          40  0.375  1.16     0 ## 10 5083           16          44  0.364  1.06     0 ## # ℹ 34 more rows dfBounds <- gsm::Analyze_NormalApprox_PredictBounds(dfTransformed, vThreshold = c(-3, -2, 2, 3)) dfBounds ## # A tibble: 1,254 × 5 ##    Threshold Denominator LogDenominator Numerator  Metric ##        <dbl>       <dbl>          <dbl>     <dbl>   <dbl> ##  1        -3        24.6           3.20    0.0927 0.00377 ##  2        -3        25.2           3.23    0.189  0.00750 ##  3        -3        25.9           3.25    0.287  0.0111  ##  4        -3        26.5           3.28    0.386  0.0145  ##  5        -3        27.2           3.30    0.485  0.0179  ##  6        -3        27.8           3.33    0.586  0.0211  ##  7        -3        28.5           3.35    0.688  0.0242  ##  8        -3        29.2           3.37    0.792  0.0272  ##  9        -3        29.8           3.39    0.895  0.0300  ## 10        -3        30.5           3.42    1.00   0.0328  ## # ℹ 1,244 more rows chart <- gsm::Visualize_Scatter(dfFlagged, dfBounds) chart"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"ur-funnel","dir":"Articles","previous_headings":"","what":"UR Funnel","title":"Comparing {simaerep} and Funnel Plot Performance","text":"write funnel function adapted {gsm}","code":"funnel_ur <- function(df, site, ur_rate) {   df %>%     filter(visit == max(visit), .by = patnum) %>%     summarise(       Metric = sum(.data$n_ae) / sum(.data$visit),       n_ae = sum(n_ae),       visit = sum(visit),       .by = \"site_number\"     ) %>%     mutate(       n_ae = ifelse(site_number == site, n_ae * (1 - ur_rate), n_ae),       Metric = n_ae / visit     ) %>%     mutate(           vMu = sum(.data$n_ae) / sum(.data$visit),           z_0 = ifelse(.data$vMu == 0,             0,             (.data$Metric - .data$vMu) /               sqrt(.data$vMu / .data$visit)           ),           phi = mean(.data$z_0^2),           z_i = ifelse(.data$vMu == 0 | .data$phi == 0,             0,             (.data$Metric - .data$vMu) /               sqrt(.data$phi * .data$vMu / .data$visit)           )     ) %>%     filter(site_number == site) %>%     pull(z_i) }  sim_ur_funnel <- function(df) {   df %>%     group_by(study_id) %>%     nest() %>%     ungroup() %>%     mutate(       sites = map(data, ~ distinct(., site_number))     ) %>%     unnest(sites) %>%     mutate(ur = list(tibble(ur_rate = c(0, 0.1, 0.25, 0.5, 0.75, 1)))) %>%     unnest(ur) %>%     mutate(       score = pmap_dbl(list(data, site_number, ur_rate), funnel_ur, .progress = TRUE)     ) }  df_sim_ur_funnel_flex <- sim_ur_funnel(df_portf_flex) df_sim_ur_funnel_fix <- sim_ur_funnel(df_portf_fix)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"ur-simaerep","dir":"Articles","previous_headings":"","what":"UR {simaerep}","title":"Comparing {simaerep} and Funnel Plot Performance","text":"simulate -reporting portfolios using {simaerep} using sim_ur_scenarios().","code":"df_sim_simaerep_fix <- sim_ur_scenarios(    df_portf_fix,    extra_ur_sites = 0,    ur_rate = c(0, 0.1, 0.25, 0.5, 0.75, 1),    parallel = TRUE,    poisson = TRUE,    prob_lower = TRUE,    progress = TRUE ) df_sim_simaerep_flex <- sim_ur_scenarios(    df_portf_flex,    extra_ur_sites = 0,    ur_rate = c(0, 0.1, 0.25, 0.5, 0.75, 1),    parallel = TRUE,    poisson = TRUE,    prob_lower = TRUE,    progress = TRUE )"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"combine-results","dir":"Articles","previous_headings":"Evaluate","what":"Combine Results","title":"Comparing {simaerep} and Funnel Plot Performance","text":"funnel plot score use multiplicity correction, also compare funnel plot score {simaerep} score w/o multiplicity correction.","code":"df_sim_simaerep_fix$ae_rate <- \"AE rate: fix\" df_sim_simaerep_flex$ae_rate <- \"AE rate: flexible\" df_sim_ur_funnel_fix$ae_rate <- \"AE rate: fix\" df_sim_ur_funnel_flex$ae_rate <- \"AE rate: flexible\"    df_sim_fun_thresh2 <- bind_rows(df_sim_ur_funnel_fix, df_sim_ur_funnel_flex) %>%   mutate(     type = \"funnel\",   ) %>%   select(type, ae_rate, study_id, site_number, ur_rate, score)   df_sim_simaerep_threshp95 <-  bind_rows(df_sim_simaerep_fix, df_sim_simaerep_flex) %>%   mutate(     type = \"{simaerep}\"   ) %>%   select(type, ae_rate, study_id, site_number, ur_rate, score = prob_low_prob_ur)  df_sim_simaerep_threshp95_no_mult <-  bind_rows(df_sim_simaerep_fix, df_sim_simaerep_flex) %>%   mutate(     type = \"{simaerep} no mult\"   ) %>%   mutate(     score = 1 - prob_low   ) %>%   select(type, ae_rate, study_id, site_number, ur_rate, score)   df_eval <- bind_rows(   df_sim_simaerep_threshp95,   df_sim_simaerep_threshp95_no_mult,   df_sim_fun_thresh2 )"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"auc","dir":"Articles","previous_headings":"Evaluate","what":"AUC","title":"Comparing {simaerep} and Funnel Plot Performance","text":"continue comparing ROC-AUC.","code":"get_roc <- function(df_ur, df_nr) {   df <- bind_rows(df_ur, df_nr)    pROC::roc(df, response = \"is_ur\", predictor = \"score\", quiet = TRUE) }  # use 0 scenario to mix with ur scenario and calculate auc from scores df_nr <- df_eval %>%   filter(ur_rate == 0) %>%   mutate(is_ur = \"no\") %>%   select(- ur_rate) %>%   group_by(type, study_id, ae_rate) %>%   nest() %>%   ungroup() %>%   rename(data_nr = data)     df_ur <- df_eval %>%   filter(ur_rate > 0) %>%   mutate(is_ur = \"yes\") %>%   group_by(type, study_id, ur_rate, ae_rate) %>%   nest() %>%   ungroup() %>%   rename(data_ur = data)   df_auc <- df_ur %>%   left_join(     df_nr,     by = c(\"type\", \"study_id\", \"ae_rate\")   ) %>%   mutate(     roc = map2(data_ur, data_nr, get_roc, .progress = TRUE),     auc = map_dbl(roc, pROC::auc, .progress = TRUE)   ) %>%   select(type, study_id, ur_rate, ae_rate, roc, auc)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"table","dir":"Articles","previous_headings":"Evaluate > AUC","what":"Table","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"df_auc %>%   summarise(     sd_auc = sd(.data$auc),     auc = mean(.data$auc),     .by = c(type, ur_rate, ae_rate)   ) %>%   knitr::kable(digit = 3)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"plot","dir":"Articles","previous_headings":"Evaluate > AUC","what":"Plot","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"df_auc %>%   ggplot(aes(type, auc)) +     geom_boxplot(aes(fill = type)) +     facet_grid(ae_rate ~ ur_rate)  +     scale_fill_brewer(palette = \"Dark2\") +     theme(axis.text.x = element_blank())"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"thresholds","dir":"Articles","previous_headings":"Evaluate > Metrics","what":"Thresholds","title":"Comparing {simaerep} and Funnel Plot Performance","text":"set thresholds funnel simaerep w/o multiplicity correction get fpr simaerep multiplicity correction established threshold 0.95","code":"thresh_default <- 0.95  target_fpr <- df_eval %>%   filter(ur_rate == 0, type == \"{simaerep}\") %>%   summarise(fpr = sum(score >= thresh_default) / n()) %>%   pull(fpr)  thresh_no_mult <-  df_eval %>%   filter(ur_rate == 0, type == \"{simaerep} no mult\") %>%   pull(score) %>%   quantile(1 - target_fpr)  thresh_funnel <- df_eval %>%   filter(ur_rate == 0, type == \"funnel\") %>%   pull(score) %>%   quantile(target_fpr)  target_fpr ## [1] 0.0005309081 thresh_no_mult ## 99.94691%  ##     0.999 thresh_funnel ## 0.05309081%  ##   -2.979981"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"aggregate","dir":"Articles","previous_headings":"Evaluate > Metrics","what":"Aggregate","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"get_prop_test_ci95 <- function(..., ix) {      stopifnot(ix %in% c(1, 2))      tryCatch(     prop.test(...)$conf.int[ix],     error = function(cnd) c(NA, NA)[ix]   ) }  aggr_results <- function(df_eval) {    df_perf <- df_eval %>%     mutate(       is_ur = case_when(         type == \"{simaerep}\" ~ score >= thresh_default,         type == \"{simaerep} no mult\" ~ score >= thresh_no_mult,         type == \"funnel\" ~ score <= thresh_funnel       )     ) %>%     summarise(       n = n(),       .by = c(type, ae_rate, ur_rate, is_ur)     ) %>%     pivot_wider(       names_from = is_ur,       values_from = n,       names_prefix = \"is_ur_\",       values_fill = 0     ) %>%     mutate(       n_sites = is_ur_TRUE + is_ur_FALSE,       ratio = is_ur_TRUE / n_sites,       ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),       ci95_low = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 1)),       ci95_high = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 2))     )   }  df_perf <- aggr_results(df_eval)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"table-1","dir":"Articles","previous_headings":"Evaluate > Metrics","what":"Table","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"df_perf %>%   knitr::kable(digits = 4)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"plot-1","dir":"Articles","previous_headings":"Evaluate > Metrics","what":"Plot","title":"Comparing {simaerep} and Funnel Plot Performance","text":"","code":"plot_perf <- function(df_perf) {    df_perf %>%     mutate(ur_rate = paste0(\"under-reporting rate: \",  ur_rate, \" - \", ratio_type),            ur_rate = ifelse(str_detect(ur_rate, \"fpr\"), \"fpr\", ur_rate),            ae_rate = forcats::fct_rev(factor(ae_rate))) %>%     group_by(ur_rate) %>%     ggplot(aes(type, ratio)) +       geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = type, linetype = ae_rate), linewidth = 1) +       facet_wrap(~ ur_rate, ncol = 1) +       coord_flip() +       theme(legend.position = \"bottom\") +       labs(         x = \"\",         y = \"CI95 Performance Ratio\",          title = \"{simaerep} vs Funnel-Plot Performance\"       ) +       scale_color_brewer(palette = \"Dark2\") }  plot_perf(df_perf)"},{"path":"https://openpharma.github.io/simaerep/articles/funnel_perf.html","id":"summary","dir":"Articles","previous_headings":"","what":"Summary","title":"Comparing {simaerep} and Funnel Plot Performance","text":"Funnel plot expects constant event rates time. Performance decrease event rates flexible. {simaerep} performance uneffected flexible event rates. {simaerep} detection rates comparable false positive rates greater funnel plot detection rates event rates flexible.","code":"plan(sequential)"},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Inframe Simulation Using Table Operations","text":"","code":"suppressPackageStartupMessages(library(dplyr)) suppressPackageStartupMessages(library(tibble)) suppressPackageStartupMessages(library(tidyr)) suppressPackageStartupMessages(library(simaerep))"},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Inframe Simulation Using Table Operations","text":"latest 0.6.0 release added alternative version {simaerep} algorithm coded using solely dbplyr compatible table operations. expand patients site r times join patient random eligible patient study replicate calculate event per visit rate per site calculate ratio lower event per visit rate actually observed comes following advantages disadvantages: Patients individually matched patients reached visit study. need pick visit_med75 evaluation point. dbplyr compatibility means code execution can done database back-end opposed -memory. Matching patients individually costly, increases -memory computation time Limited patient sample pool patients visits patients study.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"sample-data","dir":"Articles","previous_headings":"","what":"Sample Data","title":"Inframe Simulation Using Table Operations","text":"","code":"set.seed(1)  df_visit <- sim_test_data_study(   n_pat = 1000, # number of patients in study   n_sites = 100, # number of sites in study   frac_site_with_ur = 0.05, # fraction of sites under-reporting   ur_rate = 0.4, # rate of under-reporting   ae_per_visit_mean = 0.5 # mean AE per patient visit )  df_visit$study_id <- \"A\""},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"patient-level-matching","dir":"Articles","previous_headings":"","what":"Patient-Level Matching","title":"Inframe Simulation Using Table Operations","text":"use standard version algorithm.  use patient-level matching algorithm set inframe=TRUE visit_med75=FALSE. original algorithm uses fixed seeds sampling inframe method . order obtain consistent results need manually set seed. plot shows sites 10/10 patients used none excluded. also observe site average become noisy less patients used calculate averages higher visit numbers.  inframe method includes noisier data compare average event counts event per visit rates. can find events_per_visit_site events_per_visit_study df_eval. latter average event rate obtained simulation patient resampled according maximum visit. can also force inframe method use visit_med75 prefilter df_visit, adds extra step decreases performance.","code":"aerep_trad <- simaerep(df_visit) plot(aerep_trad) set.seed(1)  aerep_inframe <- simaerep(   df_visit,   inframe = TRUE,   visit_med75 = FALSE ) plot(aerep_inframe) aerep_inframe$df_eval ## # A tibble: 100 × 10 ##    study_id site_number events_per_visit_site events visits n_pat prob_low ##    <chr>    <chr>                       <dbl>  <dbl>  <dbl> <int>    <dbl> ##  1 A        S0001                       0.279     50    179    10    0     ##  2 A        S0002                       0.281     59    210    10    0     ##  3 A        S0003                       0.291     55    189    10    0     ##  4 A        S0004                       0.312     59    189    10    0     ##  5 A        S0005                       0.297     58    195    10    0     ##  6 A        S0006                       0.493    100    203    10    0.569 ##  7 A        S0007                       0.408     89    218    10    0.044 ##  8 A        S0008                       0.559     95    170    10    0.922 ##  9 A        S0009                       0.518    101    195    10    0.761 ## 10 A        S0010                       0.470     87    185    10    0.385 ## # ℹ 90 more rows ## # ℹ 3 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, ## #   prob_low_prob_ur <dbl> set.seed(1)  aerep_inframe_visit_med75 <- simaerep(   df_visit,   inframe = TRUE,   visit_med75 = TRUE )  plot(aerep_inframe_visit_med75)"},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"db","dir":"Articles","previous_headings":"","what":"DB","title":"Inframe Simulation Using Table Operations","text":"can demonstrate database-backend compatibility using connection memory duckdb database. order set number replications need create new table back-end one column many rows desired replications. lazy reference table can passed r parameter. inspecting df_eval see still lazy table object. can convert sql code. cte option makes sql code readable. can take code wrap CREATE TABLE statement Retrieve new table database. plot results {simaerep} object.  efficiently using plot_study() already written simaerep results database. avoid results recalculated just sake creating plot. However requires save df_site database well.","code":"con <- DBI::dbConnect(duckdb::duckdb(), dbdir = \":memory:\") df_r <- tibble(rep = seq(1, 1000))  dplyr::copy_to(con, df_visit, \"visit\") dplyr::copy_to(con, df_r, \"r\")  tbl_visit <- tbl(con, \"visit\") tbl_r <- tbl(con, \"r\")   aerep <- simaerep(tbl_visit, r = tbl_r, visit_med75 = FALSE) aerep$df_eval ## # Source:     SQL [?? x 10] ## # Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] ## # Ordered by: study_id, site_number ##    study_id site_number events_per_visit_site events visits n_pat prob_low ##    <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> ##  1 A        S0040                       0.477     95    199    10    0.43  ##  2 A        S0082                       0.470     87    185    10    0.382 ##  3 A        S0084                       0.513    101    197    10    0.698 ##  4 A        S0030                       0.538    106    197    10    0.828 ##  5 A        S0037                       0.429     85    198    10    0.143 ##  6 A        S0034                       0.432     79    183    10    0.148 ##  7 A        S0095                       0.452     80    177    10    0.255 ##  8 A        S0089                       0.481     91    189    10    0.467 ##  9 A        S0031                       0.49      98    200    10    0.527 ## 10 A        S0069                       0.503     88    175    10    0.644 ## # ℹ more rows ## # ℹ 3 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, ## #   prob_low_prob_ur <dbl> sql_eval <- dbplyr::sql_render(aerep$df_eval, sql_options = dbplyr::sql_options(cte = TRUE)) stringr::str_trunc(sql_eval, 500) ## <SQL> WITH q01 AS ( ##   SELECT ##     patnum, ##     site_number, ##     is_ur, ##     max_visit_mean, ##     max_visit_sd, ##     ae_per_visit_mean, ##     CAST(visit AS NUMERIC) AS visit, ##     CAST(n_ae AS NUMERIC) AS n_ae, ##     study_id ##   FROM visit ## ), ## q02 AS ( ##   SELECT DISTINCT study_id, site_number ##   FROM q01 ##   GROUP BY study_id, site_number, patnum ## ), ## q03 AS ( ##   SELECT study_id, site_number, patnum, MAX(visit) AS max_visit_per_pat ##   FROM q01 ##   GROUP BY study_id, site_number, patnum ## ), ## q04 AS ( ##   SELECT DISTINCT study... sql_create <- glue::glue(\"CREATE TABLE eval AS ({sql_eval})\") DBI::dbExecute(con, sql_create) ## [1] 100 tbl_eval <- tbl(con, \"eval\") tbl_eval ## # Source:   table<eval> [?? x 10] ## # Database: DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] ##    study_id site_number events_per_visit_site events visits n_pat prob_low ##    <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> ##  1 A        S0039                       0.472     92    195    10    0.389 ##  2 A        S0010                       0.470     87    185    10    0.385 ##  3 A        S0024                       0.495     91    184    10    0.579 ##  4 A        S0014                       0.505    103    204    10    0.629 ##  5 A        S0043                       0.503     91    181    10    0.629 ##  6 A        S0036                       0.506     89    176    10    0.666 ##  7 A        S0067                       0.428     83    194    10    0.127 ##  8 A        S0019                       0.448     74    165    10    0.256 ##  9 A        S0042                       0.470     85    181    10    0.379 ## 10 A        S0094                       0.469     99    211    10    0.379 ## # ℹ more rows ## # ℹ 3 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, ## #   prob_low_prob_ur <dbl> plot(aerep) sql_site <- dbplyr::sql_render(aerep$df_site) DBI::dbExecute(con, glue::glue(\"CREATE TABLE site AS ({sql_site})\")) ## [1] 100 tbl_site <- tbl(con, \"site\")  plot_study(tbl_visit, tbl_site, tbl_eval, study = \"A\") DBI::dbDisconnect(con)"},{"path":"https://openpharma.github.io/simaerep/articles/inframe.html","id":"in-memory-calculation-times","dir":"Articles","previous_headings":"","what":"In Memory Calculation Times","title":"Inframe Simulation Using Table Operations","text":"perform examplary tests illustrate increase -memory calculation time inframe calculation method. calculation time default settings inframe calculation time higher","code":"system.time({simaerep(df_visit, inframe = FALSE, visit_med75 = TRUE, under_only = TRUE, progress = FALSE)}) ##    user  system elapsed  ##   0.793   0.010   0.802 system.time({simaerep(df_visit, inframe = TRUE, visit_med75 = FALSE, under_only = TRUE)}) ##    user  system elapsed  ##   1.968   0.044   2.013"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Introduction","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(simaerep))"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Introduction","text":"Simulate adverse event reporting clinical trials goal detecting -reporting sites. Monitoring Adverse Event (AE) reporting clinical trials important patient safety. use bootstrap-based simulation assign AE -reporting probability site clinical trial. method inspired ‘infer’ R package Allen Downey’s blog article: “one test!”.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"adverse-events","dir":"Articles","previous_headings":"Introduction","what":"Adverse Events","title":"Introduction","text":"adverse event (AE) untoward medical occurrence patient clinical investigation subject administered pharmaceutical product necessarily causal relationship treatment. important patient safety AEs reported back sponsor. important part quality monitoring detect clinical trial sites propagating AEs reported patients sponsor. clinical trial patients follow strict visiting schedule times treatments given exams performed. Typically AEs get reported patient -site visit clinic. total number AEs reported site depends number patients enrolled site total number visits.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"algorithm","dir":"Articles","previous_headings":"Introduction","what":"Algorithm","title":"Introduction","text":"nutshell perform following steps. Record visit_med75, number patients reached visit_med75, mean cumulative AE count visit_med75 clinical trial site. Create patient pool patients study reached visit_med75 determined 1) cumulative AE count visit_med75. Draw replacement many patients 2) determined 1) calculate mean cumulative AE count draw (figure 1b). Repeat 3) 1000 times. Calculate probability obtaining mean cumulative AE count lower obtained 1) based results 4). Repeat 1-5) sites trial. Adjust probabilities using Benjamin Hochberg Procedure order correct alpha error.","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"patient","dir":"Articles","previous_headings":"Introduction > Sample Data","what":"Patient","title":"Introduction","text":"Patient level AE data characterized number consecutive visits number AEs reported time. maximum consecutive visit sample normal distribution AEs reported visit sample poisson distribution. simulate AEs generated 3 patients","code":"set.seed(1)  replicate(    3,    sim_test_data_patient(     .f_sample_max_visit = function() rnorm(1, mean = 20, sd = 4),     .f_sample_ae_per_visit = function(max_visit) rpois(max_visit, 0.5)   ) ) ## [[1]] ##  [1]  0  1  1  2  4  5  6  6  6  6  7  7  8  8  9 12 12 ##  ## [[2]] ##  [1] 0 1 1 1 1 1 1 2 2 2 2 2 2 3 4 5 5 6 6 7 8 9 9 ##  ## [[3]] ##  [1] 0 0 1 2 2 3 3 3 3 3 3 3 4 4 6 6 6 6 7 7"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"study","dir":"Articles","previous_headings":"Introduction > Sample Data","what":"Study","title":"Introduction","text":"order simulate patient data entire study assume make simplification sites number patients. specify fraction sites -reporting AEs. sample data 2 sites (S0001 S0002) -reporting AEs","code":"df_visit <- sim_test_data_study(   n_pat = 120,   n_sites = 6,   frac_site_with_ur = 0.4,   ur_rate = 0.6,   max_visit_mean = 20,   max_visit_sd = 4,   ae_per_visit_mean = 0.5 )  df_visit$study_id <- \"A\"  df_visit %>%   head(10) %>%   knitr::kable() df_visit %>%   select(site_number, is_ur) %>%   distinct() %>%   knitr::kable()"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"s3-interface","dir":"Articles","previous_headings":"Introduction > Algorithm Execution","what":"S3 interface","title":"Introduction","text":"describe internal details algorithm next. However, recommended use S3 interface, manages execution internal functions stores intermediate results.","code":"aerep <- simaerep(df_visit) aerep ## simaerep object: ## Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty. ## Plot results using plot() generic."},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"specifying-the-evaluation-point-visit_med75","dir":"Articles","previous_headings":"Introduction > Algorithm Execution","what":"Specifying the Evaluation Point visit_med75","title":"Introduction","text":"ongoing trial patients different number consecutive visits. find cut-visit normalize data specify single evaluation point given site based number visits patient population. determining visit number going evaluate AE reporting take maximum visit patient site take median. multiply 0.75 give us cut-point determining patient evaluated. patients evaluate take minimum maximum visits hence ensuring take highest visit number possible without excluding patients analysis. order ensure sampling pool visit large enough ensure least 20% patients study available sampling. limit visit_med75 80% quantile patient maximum visits entire study. use site_aggr aggregate simulated visit level data site level. Adjusting min_pat_pool change minimum ratio patients available sampling determines maximum values visit_med75.  Using adjusted visit_med75 drop patients (dashed lines) definition least include 50% patients favoring patients higher number visits. looking mean ae development (purple line) can already easily spot two -reporting sites. goes looking mean_ae_site_med75 column df_site. Next use bootstrap simulations determine probability obtaining mean AE value lower visit_med75 chance.","code":"df_site <- site_aggr(df_visit, method = \"med75_adj\", min_pat_pool = 0.2)  df_site %>%   kable() plot_visit_med75(df_visit, df_site, study_id_str = \"A\", n_site = 6) ## purple line:          mean site ae of patients with visit_med75 ## grey line:            patient included ## black dashed line:    patient excluded ## dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  ## solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients ## dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"advantage-over-classic-statistical-tests","dir":"Articles","previous_headings":"Introduction > Algorithm Execution > Bootstrap Simulations","what":"Advantage Over Classic Statistical Tests","title":"Introduction","text":"use classical parametric test calculate probability can reject NULL hypothesis AE counts observe visit_med75. sample AEs poisson distribution R implementation poisson.test appropriate. four major problems often encounter try describe real life count data poisson distribution described single parameter: underdispersion skewness (long right tail) inflated zeros variance mean relationship might fixed (see Distribution Modelling Location Scale Shape 5.1.2) true distribution AE counts vary study study degree influence 4 problems unknown unless thoroughly investigated. non-parametric approach propose need worry statistical assumptions. Since distribution AE count simulated patient pool draw close unknown true distribution underlying AE generating process.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"disadvantages-over-classic-statistical-tests","dir":"Articles","previous_headings":"Introduction > Algorithm Execution > Bootstrap Simulations","what":"Disadvantages Over Classic Statistical Tests","title":"Introduction","text":"Upper Limit Uncompliant Sites. simulate underlying compliant patient population using data given. fraction uncompliant examples becomes high, detection rates decrease. find detection rates start decreasing 30-50% -reporting sites usable anymore majority > 50% sites -reporting see article usability limits. Lower Probability Limit number repeats determines smallest probability greater zero, example r=1000 smallest value greater zero 0.001 Computationally Expensive","code":""},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"methodology","dir":"Articles","previous_headings":"Introduction > Algorithm Execution > Bootstrap Simulations","what":"Methodology","title":"Introduction","text":"likely get mean AE value equal lower observe site C number patients? illustration purposes start simulate 10 hypothetical patient groups site C drawing (replacement) patients study marking obtained equal lower mean AE value initially observed (middle). Instead 10 times simulate 1000 times count many times observed equal lower mean AE value initially observed convert percentage (right). illustrate effect -reporting repeat process removed 2 AEs per patient site C. see probability obtaining equal lower mean AE value initially observed decreases (bottom).","code":"plot_sim_examples(size_dot = 4, size_raster_label = 10)"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"application","dir":"Articles","previous_headings":"Introduction > Algorithm Execution > Bootstrap Simulations","what":"Application","title":"Introduction","text":"can run described simulation benchmark also perform poisson test. find probability getting mean ae visit_med75 sites S0001 S0002 0 near zero.","code":"df_sim_sites <- sim_sites(df_site, df_visit, r = 1000, poisson_test = TRUE)  df_sim_sites %>%   kable()"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"alpha-error-correction","dir":"Articles","previous_headings":"Introduction","what":"Alpha Error Correction","title":"Introduction","text":"simulated test data set consists just 6 sites. However, uncommon 100 sites participate clinical trial. mean need perform 100 statistical tests, applying 5% significance threshold lead average 5 False Positives (FP). therefore need adjust calculated p-values bootstrapped probabilities using stats::p.adjust(p, method = \"BH\"), applies Benjamin Hochberg Procedure. eval_sites() uses inverted adjusted values calculates final bootstrapped AE -reporting probability (prob_low_prob_ur) includes poisson test derived -reporting probability reference (pval_prob_ur).","code":"df_eval <- eval_sites(df_sim_sites, method = \"BH\")  df_eval %>%   kable()"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"plot-results","dir":"Articles","previous_headings":"Introduction","what":"Plot Results","title":"Introduction","text":"plot_study plot mean ae development sites visit level data flagged site AE -reporting threshold 95%.","code":"plot_study(df_visit, df_site, df_eval, study = \"A\")"},{"path":"https://openpharma.github.io/simaerep/articles/intro.html","id":"applying-simaerep","dir":"Articles","previous_headings":"","what":"Applying {simaerep}","title":"Introduction","text":"Instead executing previous steps manually can also use S3 interface manages intermediate results provides convenient plotting using plot() generic function.  modifying default parameters please check simaerep() documentation.","code":"aerep <- simaerep(df_visit) aerep ## simaerep object: ## Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty. ## Plot results using plot() generic. str(aerep) ## List of 11 ##  $ visit           :List of 3 ##   ..$ dim       : int [1:2] 2336 9 ##   ..$ df_summary: tibble [1 × 5] (S3: tbl_df/tbl/data.frame) ##   .. ..$ n_studies : int 1 ##   .. ..$ n_sites   : int 6 ##   .. ..$ n_patients: int 120 ##   .. ..$ n_visits  : int 2336 ##   .. ..$ n_aes     : int 942 ##   ..$ str_call  : chr \"df_visit\" ##   ..- attr(*, \"class\")= chr \"orivisit\" ##  $ df_site         : tibble [6 × 6] (S3: tbl_df/tbl/data.frame) ##   ..$ study_id          : chr [1:6] \"A\" \"A\" \"A\" \"A\" ... ##   ..$ site_number       : chr [1:6] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... ##   ..$ n_pat             : int [1:6] 20 20 20 20 20 20 ##   ..$ n_pat_with_med75  : num [1:6] 17 17 16 17 18 20 ##   ..$ visit_med75       : Named num [1:6] 15 14 17 16 16 15 ##   .. ..- attr(*, \"names\")= chr [1:6] \"80%\" \"80%\" \"80%\" \"80%\" ... ##   ..$ mean_ae_site_med75: num [1:6] 3 3.35 8.5 8.06 7.56 ... ##  $ df_sim_sites    : tibble [6 × 9] (S3: tbl_df/tbl/data.frame) ##   ..$ study_id              : chr [1:6] \"A\" \"A\" \"A\" \"A\" ... ##   ..$ site_number           : chr [1:6] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... ##   ..$ n_pat                 : int [1:6] 20 20 20 20 20 20 ##   ..$ n_pat_with_med75      : num [1:6] 17 17 16 17 18 20 ##   ..$ visit_med75           : Named num [1:6] 15 14 17 16 16 15 ##   .. ..- attr(*, \"names\")= chr [1:6] \"80%\" \"80%\" \"80%\" \"80%\" ... ##   ..$ mean_ae_site_med75    : num [1:6] 3 3.35 8.5 8.06 7.56 ... ##   ..$ mean_ae_study_med75   : num [1:6] 6.71 6.02 6.51 6.26 6.35 ... ##   ..$ n_pat_with_med75_study: int [1:6] 87 92 74 84 83 84 ##   ..$ prob_low              : num [1:6] 0 0 1 1 1 1 ##  $ df_eval         : tibble [6 × 11] (S3: tbl_df/tbl/data.frame) ##   ..$ study_id              : chr [1:6] \"A\" \"A\" \"A\" \"A\" ... ##   ..$ site_number           : chr [1:6] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... ##   ..$ n_pat                 : int [1:6] 20 20 20 20 20 20 ##   ..$ n_pat_with_med75      : num [1:6] 17 17 16 17 18 20 ##   ..$ visit_med75           : Named num [1:6] 15 14 17 16 16 15 ##   .. ..- attr(*, \"names\")= chr [1:6] \"80%\" \"80%\" \"80%\" \"80%\" ... ##   ..$ mean_ae_site_med75    : num [1:6] 3 3.35 8.5 8.06 7.56 ... ##   ..$ mean_ae_study_med75   : num [1:6] 6.71 6.02 6.51 6.26 6.35 ... ##   ..$ n_pat_with_med75_study: int [1:6] 87 92 74 84 83 84 ##   ..$ prob_low              : num [1:6] 0 0 1 1 1 1 ##   ..$ prob_low_adj          : num [1:6] 0 0 1 1 1 1 ##   ..$ prob_low_prob_ur      : num [1:6] 1 1 0 0 0 0 ##  $ r               : num 1000 ##  $ visit_med75     : logi TRUE ##  $ inframe         : logi FALSE ##  $ under_only      : logi TRUE ##  $ param_site_aggr :List of 2 ##   ..$ method      : chr \"med75_adj\" ##   ..$ min_pat_pool: num 0.2 ##  $ param_sim_sites :List of 4 ##   ..$ r           : num 1000 ##   ..$ poisson_test: logi FALSE ##   ..$ prob_lower  : logi TRUE ##   ..$ under_only  : logi TRUE ##  $ param_eval_sites:List of 2 ##   ..$ method    : chr \"BH\" ##   ..$ under_only: logi TRUE ##  - attr(*, \"class\")= chr \"simaerep\" plot(aerep) ## study = NULL, defaulting to study:A"},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Over-Reporting Probability","text":"","code":"suppressPackageStartupMessages(library(dplyr)) suppressPackageStartupMessages(library(tidyr)) suppressPackageStartupMessages(library(simaerep)) suppressPackageStartupMessages(library(ggExtra))"},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Over-Reporting Probability","text":"{siamerep} originally created detect -reporting AEs therefore -reporting probability calculated. Nevertheless {simaerep} can theoretically used simulate kinds subject-based clinical events, issues -reporting can represent quality issue. recent release 0.5.0 added option calculate -reporting probability score.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"data-set","dir":"Articles","previous_headings":"","what":"Data Set","title":"Over-Reporting Probability","text":"simulate standard data set high number sites, patients, visits events ensure dimensions normally distributed. add - -reporting sites point.","code":"set.seed(1)  df_visit <- sim_test_data_study(  n_pat = 10000,  n_sites = 1000,  frac_site_with_ur = 0,  max_visit_mean = 100,  max_visit_sd = 1,  ae_per_visit_mean = 5 )  df_visit$study_id <- \"A\""},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"run-simaerep","dir":"Articles","previous_headings":"","what":"Run {simaerep}","title":"Over-Reporting Probability","text":"order add -reporting probability score need set parameter under_only = FALSE. original setting skips simulation sites AEs study average. new parameter calculates probability site getting lower equal average AE count site visit_med75 every site, regardless initial value compares study average. calculation takes seconds longer default setting. evaluation data frame three columns available now.","code":"system.time(   aerep_def <- simaerep(df_visit, under_only = TRUE) ) ##    user  system elapsed  ##  19.149   1.116  20.268 system.time(   aerep_ovr <- simaerep(df_visit, under_only = FALSE) ) ##    user  system elapsed  ##  23.329   1.100  24.481 setdiff(colnames(aerep_ovr$df_eval), colnames(aerep_def$df_eval)) ## [1] \"prob_high\"         \"prob_high_adj\"     \"prob_high_prob_or\""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"probability-getting-a-lower-ae-count","dir":"Articles","previous_headings":"Analyze","what":"Probability getting a lower AE count","title":"Over-Reporting Probability","text":"can see gap default setting generated probabilities. values filling gap can interpreted probability higher site average originally observed.","code":"cols <- c(\"study_id\", \"site_number\", \"mean_ae_site_med75\", \"mean_ae_study_med75\", \"prob_low\")  p <- bind_rows(   select(       aerep_ovr$df_eval,       all_of(cols)     ) %>%     mutate(type = \"with over-reporting\"),     select(       aerep_def$df_eval,       all_of(cols)     ) %>%     mutate(type = \"default\")   ) %>%   ggplot(aes(x = mean_ae_site_med75 - mean_ae_study_med75, y = prob_low, color = type)) +     geom_point(alpha = 0.5) +     theme(legend.position = \"bottom\") +     scale_color_manual(values = c(\"gold\", \"blue\")) +     labs(y = \"Probability of getting a lower or equal mean site AE in a 1000x simulation\")  ggExtra::ggMarginal(p, groupColour = TRUE, type = \"density\")"},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"over-reporting","dir":"Articles","previous_headings":"Analyze","what":"Over-Reporting","title":"Over-Reporting Probability","text":"can add -reporting probability (1- -reporting probability), cases mean_ae_site_med75 equal mean_ae_study_med75 -reporting probability always zero.","code":"cols <- c(\"study_id\", \"site_number\", \"mean_ae_site_med75\", \"mean_ae_study_med75\")   p <- bind_rows(   select(       aerep_ovr$df_eval,       all_of(cols),       value = \"prob_low\"     ) %>%     mutate(type = \"new under-reporting\"),   select(       aerep_ovr$df_eval,       all_of(cols),       value = \"prob_high\"     ) %>%     mutate(type = \"new over-reporting\"),     select(       aerep_def$df_eval,       all_of(cols),       value = \"prob_low\"     ) %>%     mutate(type = \"default under-reporting\")   ) %>%   ggplot(aes(x = mean_ae_site_med75 - mean_ae_study_med75, y = value, color = type)) +     geom_point(alpha = 0.25) +     theme(legend.position = \"bottom\") +     scale_color_manual(values = c(\"gold\", \"purple\", \"blue\")) +     labs(y = \"Probability of getting a lower or equal mean site AE in a 1000x simulation\")  ggExtra::ggMarginal(p, groupColour = TRUE, type = \"density\")"},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"multiplicity-correction","dir":"Articles","previous_headings":"Analyze","what":"Multiplicity Correction","title":"Over-Reporting Probability","text":"multiplicity correction dampens signal, avoiding false positives result chance.","code":"cols <- c(\"study_id\", \"site_number\", \"mean_ae_site_med75\", \"mean_ae_study_med75\")   p <- bind_rows(   select(       aerep_ovr$df_eval,       all_of(cols),       value = \"prob_low_prob_ur\"     ) %>%     mutate(type = \"new under-reporting\"),   select(       aerep_ovr$df_eval,       all_of(cols),       value = \"prob_high_prob_or\"     ) %>%     mutate(type = \"new over-reporting\"),     select(       aerep_def$df_eval,       all_of(cols),       value = \"prob_low_prob_ur\"     ) %>%     mutate(type = \"default under-reporting\")   ) %>%   ggplot(aes(x = mean_ae_site_med75 - mean_ae_study_med75, y = value, color = type)) +     geom_point(alpha = 0.25) +     theme(legend.position = \"bottom\") +     scale_color_manual(values = c(\"gold\", \"purple\", \"blue\")) +     labs(y = \"Probability of getting a lower or equal mean site AE in a 1000x simulation\")  ggExtra::ggMarginal(p, groupColour = TRUE, type = \"density\")"},{"path":"https://openpharma.github.io/simaerep/articles/over.html","id":"simulating-over-reporting","dir":"Articles","previous_headings":"","what":"Simulating Over-Reporting","title":"Over-Reporting Probability","text":"can simulate -reporting supplying negative ratio ur_rate can plot -reporting changing setting prob_col = \"prob_high_prob_or\".","code":"set.seed(1)  df_visit <- sim_test_data_study(  frac_site_with_ur = 0.05,  ur_rate = - 0.5, )  df_visit$study_id <- \"A\"   distinct(df_visit, site_number, is_ur, ae_per_visit_mean) ## # A tibble: 20 × 3 ##    site_number is_ur ae_per_visit_mean ##    <chr>       <lgl>             <dbl> ##  1 S0001       TRUE               0.75 ##  2 S0002       FALSE              0.5  ##  3 S0003       FALSE              0.5  ##  4 S0004       FALSE              0.5  ##  5 S0005       FALSE              0.5  ##  6 S0006       FALSE              0.5  ##  7 S0007       FALSE              0.5  ##  8 S0008       FALSE              0.5  ##  9 S0009       FALSE              0.5  ## 10 S0010       FALSE              0.5  ## 11 S0011       FALSE              0.5  ## 12 S0012       FALSE              0.5  ## 13 S0013       FALSE              0.5  ## 14 S0014       FALSE              0.5  ## 15 S0015       FALSE              0.5  ## 16 S0016       FALSE              0.5  ## 17 S0017       FALSE              0.5  ## 18 S0018       FALSE              0.5  ## 19 S0019       FALSE              0.5  ## 20 S0020       FALSE              0.5 aerep <- simaerep(df_visit, under_only = FALSE) aerep$df_eval %>%   select(site_number, mean_ae_site_med75, mean_ae_study_med75, prob_low_prob_ur, prob_high_prob_or) ## # A tibble: 20 × 5 ##    site_number mean_ae_site_med75 mean_ae_study_med75 prob_low_prob_ur ##    <chr>                    <dbl>               <dbl>            <dbl> ##  1 S0001                    11.7                 7.48            0     ##  2 S0002                     7.72                8.27            0.58  ##  3 S0003                     6.93                7.72            0.687 ##  4 S0004                     7.40                7.69            0.364 ##  5 S0005                     7.98                7.66            0.118 ##  6 S0006                     8.67                8.22            0.118 ##  7 S0007                     7.58                7.68            0.276 ##  8 S0008                     6.85                7.72            0.687 ##  9 S0009                     7.78                7.67            0.118 ## 10 S0010                     7.59                7.68            0.248 ## 11 S0011                     7.17                7.71            0.587 ## 12 S0012                     7.9                 7.67            0.118 ## 13 S0013                     7.6                 7.19            0.118 ## 14 S0014                     7.05                7.71            0.644 ## 15 S0015                     7.98                7.66            0.118 ## 16 S0016                     6.96                7.72            0.687 ## 17 S0017                     7.36                7.69            0.445 ## 18 S0018                     7.91                7.67            0.118 ## 19 S0019                     7.46                7.69            0.364 ## 20 S0020                     7.09                7.71            0.644 ## # ℹ 1 more variable: prob_high_prob_or <dbl> plot(aerep, prob_col = \"prob_high_prob_or\") ## study = NULL, defaulting to study:A plot(aerep, prob_col = \"prob_low_prob_ur\") # Default ## study = NULL, defaulting to study:A"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Statistical Performance","text":"","code":"suppressPackageStartupMessages(library(dplyr)) suppressPackageStartupMessages(library(tibble)) suppressPackageStartupMessages(library(tidyr)) suppressPackageStartupMessages(library(simaerep)) suppressPackageStartupMessages(library(purrr)) suppressPackageStartupMessages(library(stringr))"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"performance-statistical","dir":"Articles","previous_headings":"","what":"Performance (Statistical)","title":"Statistical Performance","text":"","code":"suppressPackageStartupMessages(library(furrr)) suppressPackageStartupMessages(library(future))  plan(multisession, workers = 6)"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"load-portfolio","dir":"Articles","previous_headings":"Performance (Statistical)","what":"Load Portfolio","title":"Statistical Performance","text":"","code":"df_config <- readr::read_csv(\"ae_conf_20240220.csv\") df_ae_rates <- readr::read_csv(\"ae_rates_20240220.csv\")  df_portf_flex <- sim_test_data_portfolio(df_config, df_ae_rates = df_ae_rates, parallel = TRUE, progress = TRUE)  df_portf_flex %>%   readr::write_csv(\"portf.csv\") df_portf_flex <- readr::read_csv(\"portf.csv\")"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"simulating-under-reporting","dir":"Articles","previous_headings":"Performance (Statistical)","what":"Simulating Under Reporting","title":"Statistical Performance","text":"reanalyze performance {simaerep} integrating learnings previous versions. apply following. generate portfolio using flexible AE rates remove AEs directly data set aggregated metric using sim_ur() set threshold confusion matrix methods similar fpr default algorithm default algorithm active -reporting scoring inframe algorithm visit_med75 inframe algorithm box-plot funnel-plot","code":""},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"functions","dir":"Articles","previous_headings":"Performance (Statistical)","what":"Functions","title":"Statistical Performance","text":"","code":"funnel <- function(df) {   df %>%   filter(visit == max(visit), .by = patnum) %>%   summarise(     Metric = sum(.data$n_ae) / sum(.data$visit),     n_ae = sum(n_ae),     visit = sum(visit),     .by = \"site_number\"   ) %>%   mutate(         vMu = sum(.data$n_ae) / sum(.data$visit),         z_0 = ifelse(.data$vMu == 0,           0,           (.data$Metric - .data$vMu) /             sqrt(.data$vMu / .data$visit)         ),         phi = mean(.data$z_0^2),         z_i = ifelse(.data$vMu == 0 | .data$phi == 0,           0,           (.data$Metric - .data$vMu) /             sqrt(.data$phi * .data$vMu / .data$visit)         )   ) }  box <- function(df) {   df <- df %>%     filter(visit == max(visit), .by = patnum) %>%     summarise(       event_per_visit = sum(.data$n_ae) / sum(.data$visit),       .by = \"site_number\"     )      bx <- boxplot.stats(df$event_per_visit)      df <- df %>%     mutate(       box_out = event_per_visit < bx$stats[1]     )    }   perf <- function(df_visit, study_id, site_number, ur_rate) {   df_vs_study <- df_visit %>%     sim_ur(study_id, site_number, ur_rate)      df_visit_med75 <- df_vs_study %>%     simaerep(under_only = TRUE, progress = FALSE, check = FALSE) %>%     .$df_eval %>%     filter(.data$site_number == .env$site_number)      df_visit_med75_over <- df_vs_study %>%     simaerep(under_only = FALSE, progress = FALSE, check = FALSE) %>%     .$df_eval %>%     filter(.data$site_number == .env$site_number)    df_inframe <- df_vs_study %>%     simaerep(inframe = TRUE, under_only = TRUE, check = FALSE, visit_med75 = FALSE) %>%     .$df_eval %>%     filter(.data$site_number == .env$site_number)      df_inframe_visit_med75 <- df_vs_study %>%     simaerep(inframe = TRUE, under_only = TRUE, check = FALSE, visit_med75 = TRUE) %>%     .$df_eval %>%     filter(.data$site_number == .env$site_number)      funnel_zi <- funnel(df_vs_study) %>%     filter(.data$site_number == .env$site_number) %>%     pull(z_i)      box_out <- box(df_vs_study) %>%     filter(.data$site_number == .env$site_number) %>%     pull(box_out)    tibble(     score_visit_med75 = df_visit_med75$prob_low_prob_ur,     score_visit_med75_no_mult = 1 - df_visit_med75$prob_low,     score_visit_med75_over = df_visit_med75_over$prob_low_prob_ur,     score_visit_med75_over_no_mult = 1 - df_visit_med75_over$prob_low,     score_inframe = df_inframe$prob_low_prob_ur,     score_inframe_no_mult = 1 - df_inframe$prob_low,     score_inframe_visit_med75 = df_inframe_visit_med75$prob_low_prob_ur,     score_inframe_visit_med75_no_mult = 1 - df_inframe_visit_med75$prob_low,     score_funnel_zi = funnel_zi,     score_box_out = as.integer(box_out),     stat_visit_med75_visit_med75 = df_visit_med75$visit_med75,     stat_visit_med75_n_pat_with_med75 = df_visit_med75$n_pat_with_med75,     stat_visit_med75_mean_ae_site_med75 = df_visit_med75$mean_ae_site_med75,     stat_visit_med75_mean_ae_study_med75 = df_visit_med75$mean_ae_study_med75,     stat_inframe_visit_med75 = df_inframe_visit_med75$visit_med75,     stat_inframe_visit_med75_n_pat_with_med75 = df_inframe_visit_med75$n_pat_with_med75,     stat_inframe_visit_med75_events_per_visit_site = df_inframe_visit_med75$events_per_visit_site,     stat_inframe_visit_med75_events_per_visit_study = df_inframe_visit_med75$events_per_visit_study,     stat_inframe_n_pat = df_inframe$n_pat,     stat_inframe_events_per_visit_site = df_inframe$events_per_visit_site,     stat_inframe_events_per_visit_study = df_inframe$events_per_visit_study,   ) }  # perf(df_portf_flex, study_id = \"0010\", site_number = \"15153\", ur_rate = 0) %>% unlist() # perf(df_portf_flex, study_id = \"0010\", site_number = \"15153\", ur_rate = 0.5) %>% unlist() # perf(df_portf_flex, study_id = \"0010\", site_number = \"15153\", ur_rate = 0.75) %>% unlist() # perf(df_portf_flex, study_id = \"0010\", site_number = \"15153\", ur_rate = 1) %>% unlist()"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"grid","dir":"Articles","previous_headings":"Performance (Statistical)","what":"Grid","title":"Statistical Performance","text":"","code":"df_grid <- df_portf_flex %>%   distinct(study_id, site_number) %>%   # to reduce calculation time we only take every xth study   filter(dense_rank(study_id)%%5 == 0) %>%   mutate(ur_rate = list(c(0, 0.1, 0.25, 0.5, 0.75, 1))) %>%   unnest(ur_rate)  df_grid ## # A tibble: 27,120 × 3 ##    study_id site_number ur_rate ##    <chr>    <chr>         <dbl> ##  1 0005     4480           0    ##  2 0005     4480           0.1  ##  3 0005     4480           0.25 ##  4 0005     4480           0.5  ##  5 0005     4480           0.75 ##  6 0005     4480           1    ##  7 0005     4481           0    ##  8 0005     4481           0.1  ##  9 0005     4481           0.25 ## 10 0005     4481           0.5  ## # ℹ 27,110 more rows"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"apply","dir":"Articles","previous_headings":"Performance (Statistical)","what":"Apply","title":"Statistical Performance","text":"","code":"with_progress_cnd(   df_perf <- df_grid %>%     mutate(       perf = purrr_bar(         list(study_id, site_number, ur_rate),         .purrr = furrr::future_pmap,         .f = function(x, y, z) perf(df_portf_flex, x, y, z),         .purrr_args = list(.options = furrr_options(seed = TRUE)),         .steps = nrow(.)       )     ) )  df_perf %>%   unnest(perf) %>%   readr::write_csv(\"perf.csv\") df_perf <- readr::read_csv(\"perf.csv\", show_col_types = FALSE) df_perf_long <- df_perf %>%   pivot_longer(cols = - c(study_id, site_number, ur_rate), names_to = \"type\", values_to = \"score\") %>%   filter(startsWith(type, \"score_\")) %>%   mutate(type = stringr::str_replace(type, \"score_\", \"\"))"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"thresholds","dir":"Articles","previous_headings":"Evaluation","what":"Thresholds","title":"Statistical Performance","text":"set thresholds get fpr 0.01. Note results probability thresholds ~ 0.99 scores w/o multiplicity correction recommended funne plot score threshold -2.","code":"target_fpr <- 0.01  df_thresh <- df_perf_long %>%   group_by(type) %>%   nest() %>%   ungroup() %>%   mutate(     data = map(data, ~ filter(., ur_rate == 0)),     thresh1 = map_dbl(data, ~ quantile(pull(., score), 1 - target_fpr)),     thresh2 = map_dbl(data, ~ quantile(pull(., score), target_fpr)),     thresh = ifelse(type == \"funnel_zi\", thresh2, thresh1)   ) %>%   select(type, thresh)    df_thresh ## # A tibble: 10 × 2 ##    type                        thresh ##    <chr>                        <dbl> ##  1 visit_med75                  0.455 ##  2 visit_med75_no_mult          0.989 ##  3 visit_med75_over             0.455 ##  4 visit_med75_over_no_mult     0.989 ##  5 inframe                      0.384 ##  6 inframe_no_mult              0.982 ##  7 inframe_visit_med75          0.412 ##  8 inframe_visit_med75_no_mult  0.987 ##  9 funnel_zi                   -2.03  ## 10 box_out                      1"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"aggregate","dir":"Articles","previous_headings":"Evaluation","what":"Aggregate","title":"Statistical Performance","text":"","code":"get_prop_test_ci95 <- function(..., ix) {      stopifnot(ix %in% c(1, 2))      tryCatch(     prop.test(...)$conf.int[ix],     error = function(cnd) c(NA, NA)[ix]   ) }  df_aggr <- df_perf_long %>%   left_join(df_thresh, by = \"type\") %>%   mutate(     is_ur = ifelse(type == \"funnel_zi\", score <= thresh, score >= thresh),     is_ur = ifelse(type == \"box_out\", score == 1, is_ur)   ) %>%   summarise(     n = n(),     .by = c(type, ur_rate, is_ur)   ) %>%   pivot_wider(     names_from = is_ur,     values_from = n,     names_prefix = \"is_ur_\",     values_fill = 0   ) %>%   mutate(     n_sites = is_ur_TRUE + is_ur_FALSE,     ratio = is_ur_TRUE / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 1)),     ci95_high = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 2)),     type_strip = str_replace(type, \"_no_mult\", \"\"),     has_mult = ! str_detect(type, \"no_mult\") & ! type %in% c(\"funnel_zi\", \"box_out\")   )"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"table","dir":"Articles","previous_headings":"Evaluation","what":"Table","title":"Statistical Performance","text":"Methods: visit_med75: default algorithm visit_med75_over: default algorithm including -reporting score inframe: new algorithm using table operations visit_med75 inframe visit_med75: new aldorithm using table operations visit_med75 funnel_zi: funnel plot derived outlier detection box_out: box plot derived outlier detection FN: false negatives TP: true positives","code":"df_aggr %>%   select(method = type_strip, has_mult, ur_rate, FN = is_ur_FALSE, TP = is_ur_TRUE, n_sites, ratio_type, ratio, ci95_low, ci95_high) %>%   knitr::kable(digits = 4)"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"plot","dir":"Articles","previous_headings":"Evaluation","what":"Plot","title":"Statistical Performance","text":"","code":"df_aggr %>%   mutate(ur_rate = paste0(\"under-reporting rate: \",  ur_rate, \" - \", ratio_type)   ) %>%   group_by(ur_rate) %>%   ggplot(aes(type, ratio)) +     geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = type_strip, alpha = has_mult), linewidth = 1) +     facet_wrap(~ ur_rate, ncol = 1) +     coord_flip() +     theme(       legend.position = \"right\",       axis.text.y = element_blank(),       axis.ticks.y = element_blank()     ) +     labs(       x = \"\",       y = \"Ratio (CI95)\",        title = \"{simaerep} Performance\",       color = \"Method\",       alpha = \"Multiplicity Correction\"     ) +     scale_color_manual(values = rev(RColorBrewer::brewer.pal(n = 6, name = \"Dark2\"))) +     scale_alpha_manual(values = c(1, 0.5))"},{"path":"https://openpharma.github.io/simaerep/articles/performance.html","id":"summary","dir":"Articles","previous_headings":"Evaluation","what":"Summary","title":"Statistical Performance","text":"new inframe method slightly better performance original algorithm new inframe methods compares event per visit rates without dropping patients AEs analysis. likely explain performance increase. observed similar increase optimized visit_med75 past experiments. multiplicity correction imposes penalty true positive rate observation already made Boeringer Ingelheim Team evaluation {simaerep}. can now reporducibly confirm . unaltered probability score returned bootstrap algorithm already provides realistic -reporting probabilities. {simaerep} outperforms simpler methods funnel plot box plot outlier detection. controly confirm previous observations made {simaerep} validation.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"(superseeded) simaerep Portfolio Performance","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(furrr)) suppressPackageStartupMessages(library(future)) suppressPackageStartupMessages(library(simaerep))  # RAM ~26 GB # plan 4GB per core plan(multisession, workers = 6)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"(superseeded) simaerep Portfolio Performance","text":"want define minimal requirements simulating test data reflects realistic portfolio data want use benchmark overall {simaerep} performance.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"performance","dir":"Articles","previous_headings":"","what":"Performance","title":"(superseeded) simaerep Portfolio Performance","text":"simulations take time run require multiple cores appropriate memory. Rendering articles {pkgdown} can bit unstable recommend render first using pure {rmarkdown} generate intermediate csv files.","code":"rmarkdown::render(\"vignettes/_portfolio_perf.Rmd\", knit_root_dir = paste0(getwd(), \"/vignettes\"))"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"portfolio-configuration","dir":"Articles","previous_headings":"","what":"Portfolio Configuration","title":"(superseeded) simaerep Portfolio Performance","text":"portfolio configuration used generate compliant test data similar realistic portfolio studies sites compliant. subsequently remove percentage AEs study site calculate AE -reporting statistics calculate overall detection thresholds. portfolio configuration give minimal description portfolio without violating data privacy laws competitive intellectual property. propose include following metrics portfolio configuration: site parameters: mean maximum patient visits sd maximum patient visits total number patients study parameters: mean AE per visit information contained portfolio configuration scarce thus can shared easily within industry. can use parameters simulate test data assessing {simaerep} performance given portfolio. can start maximum aggregation visit n_ae patient level starting df_visit use simaerep::site_aggr(). can use simaerep::get_config generate valid portfolio configuration, automatically apply filters: remove patients 0 visits minimum number patients per study minimum number sites per study anonymize study site IDs","code":"df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,    frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                       frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- bind_rows(df_visit1, df_visit2)  df_site_max <- df_visit %>%   group_by(study_id, site_number, patnum) %>%   summarise(max_visit = max(visit),             max_ae = max(n_ae),             .groups = \"drop\")  df_config <- simaerep::get_config(   df_site_max, anonymize = TRUE,   min_pat_per_study = 100,   min_sites_per_study = 10 )  df_config %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"simulate-portfolio-from-configuration","dir":"Articles","previous_headings":"Portfolio Configuration","what":"Simulate Portfolio from Configuration","title":"(superseeded) simaerep Portfolio Performance","text":"can now apply sim_test_data_portfolio uses sim_test_data_study() generate artificial data visit level.","code":"df_portf <- sim_test_data_portfolio(df_config)  df_portf %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"load-realistic-configuration","dir":"Articles","previous_headings":"Portfolio Configuration","what":"Load Realistic Configuration","title":"(superseeded) simaerep Portfolio Performance","text":"load realistic portfolio configuration.","code":"df_config <- readr::read_csv(\"ae_profile.csv\")  df_config %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"simulate-portfolio","dir":"Articles","previous_headings":"","what":"Simulate Portfolio","title":"(superseeded) simaerep Portfolio Performance","text":"simulate artificial visit level data. Using parallel processing. stage simulated compliant test data realistic study portfolio.","code":"df_portf <- sim_test_data_portfolio(df_config, parallel = TRUE, progress = TRUE)  df_portf %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"confirm-that-portfolio-simulation-results-in-similar-configuration","dir":"Articles","previous_headings":"Simulate Portfolio","what":"Confirm that Portfolio Simulation results in Similar Configuration","title":"(superseeded) simaerep Portfolio Performance","text":"now use simulated portfolio data extract configuration. expect configuration extracting similar configuration started first place.   portfolio simulation sample patient maximum visit values normal distribution. returns values smaller 1 replace one. larger SD values compared mean values likely sample patient maximum visit smaller one. Every time correction lowering patient maximum visit SD simulation, can see graph .","code":"df_site_max_portf <- df_portf %>%   group_by(study_id, site_number, patnum) %>%   summarise(max_visit = max(visit),             max_ae = max(n_ae),             .groups = \"drop\")  df_config_portf <- simaerep::get_config(df_site_max_portf, anonymize = TRUE, min_pat_per_study = 100, min_sites_per_study = 10)  df_comp <- df_config %>%   left_join(     df_config_portf,     by = c(\"study_id\", \"site_number\"),     suffix = c(\".ori\", \".sim\")   ) %>%   select(     study_id,     starts_with(\"ae\"),     site_number,     contains(\"max_visit_sd\"),     contains(\"max_visit_mean\"),     contains(\"n_pat\")   )  df_comp %>%   select(study_id, starts_with(\"ae\")) %>%   distinct() %>%   ggplot(aes(ae_per_visit_mean.ori, ae_per_visit_mean.sim)) +     geom_point() +     geom_smooth() +     labs(title = \"simulated vs original AE per visit study mean\") +     theme(aspect.ratio = 1) df_comp %>%   ggplot(aes(max_visit_sd.ori, max_visit_sd.sim)) +     geom_point() +     geom_smooth() +     geom_abline(slope = 1, color = \"red\") +     labs(title = \"simulated vs original max visit sd site\") +     theme(aspect.ratio = 1) df_comp %>%   ggplot(aes(max_visit_mean.ori, max_visit_mean.sim)) +     geom_point() +     geom_smooth() +     geom_abline(slope = 1, color = \"red\") +     labs(title = \"simulated vs original max visit mean site\") +     theme(aspect.ratio = 1) df_comp %>%   ggplot(aes(n_pat.ori, n_pat.sim)) +     geom_point() +     geom_smooth() +     labs(title = \"simulated vs original n_pat site\") +     theme(aspect.ratio = 1)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"get-under-reporting-probability-for-different-under-reporting-scenarios","dir":"Articles","previous_headings":"","what":"Get Under-Reporting Probability for Different Under Reporting Scenarios","title":"(superseeded) simaerep Portfolio Performance","text":"performance detecting AE -reporting dependent three things: higher mean AE per visit study level better higher number patients -reporting site better higher maximum visit number per patient better higher number -reporting sites study worse initial usability assessment fixed parameters. going leave portfolio. vanilla version artificial portfolio data contain -reporting sites yet. However simaerep::sim_ur_scenarios() apply -reporting scenarios site. Reducing number AEs given -reporting rate (ur_rate) patients site add corresponding -reporting statistics.","code":"df_scen <- sim_ur_scenarios(    df_portf,    extra_ur_sites = 0,    ur_rate = c(0.1, 0.25, 0.5, 0.75, 1),    parallel = TRUE,    poisson = TRUE,    prob_lower = TRUE,    progress = TRUE )   readr::write_csv(df_scen, file = \"scen.csv\") df_scen <- readr::read_csv(\"scen.csv\")   df_scen %>%   head(25) %>%   knitr::kable()"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"portfolio-performance","dir":"Articles","previous_headings":"","what":"Portfolio Performance","title":"(superseeded) simaerep Portfolio Performance","text":"every site portfolio now generated AE -reporting probability following -reporting rates 0, 0.25, 0.5, 0.75 1: usually recommend 0.95 threshold flag sites -reporting. can use threshold calculate ratio flagged sites per -reporting rate. zero -reporting scenario defines expected false positive rates (fpr fp/N), scenarios give us expected true positive rate (tpr tp/P) sites -reporting level. condition tpr fpr rates simulated portfolio site -reporting site respective study.","code":"df_scen %>%   select(study_id, site_number, ur_rate, prob_low_prob_ur) %>%   head(25) %>%   knitr::kable() df_perf_portf <- df_scen %>%   mutate(is_ur = prob_low_prob_ur >= 0.95) %>%   group_by(ur_rate, is_ur) %>%   count() %>%   pivot_wider(     names_from = is_ur,     values_from = n,     names_prefix = \"is_ur_\"   ) %>%   mutate(     n_sites = is_ur_TRUE + is_ur_FALSE,     ratio = is_ur_TRUE / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = prop.test(is_ur_TRUE, n_sites)$conf.int[1],     ci95_high = prop.test(is_ur_TRUE, n_sites)$conf.int[2]   )   df_perf_portf %>%   knitr::kable(digits = 3)"},{"path":[]},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"performance-under-optimal-conditions","dir":"Articles","previous_headings":"Benchmark {simaerep} Using Portfolio Performance","what":"Performance Under Optimal Conditions","title":"(superseeded) simaerep Portfolio Performance","text":"True positive rates sites -reporting rate 1 surprisingly small. expect true positive ratios close 100%. reason within portfolio sites just starting reported AEs yet. also studies overall low AE rates example studies healthy participants. Altogether allows uncompliant sites hide among compliant sites makes difficult detect . Therefore also like demonstrate {simaerep} performance can expected ideal conditions. generate studies following parameters: 200 patients 20 sites one -reporting site 0.5 AEs per visit average 20 visits per patient SD 2 simulate 500 studies -reporting scenario. Next apply {simaerep} calculate confusion matrices. calculate tpr fpr. ideal conditions sites 0.5 -reporting rate almost get flagged ratio 0.97 minimal ratio false positive flags < 0.003.","code":"standard_sim <- function(ur_rate, seed) {   set.seed(seed)   df <- sim_test_data_study(     n_pat = 200,     n_sites = 20,     frac_site_with_ur = 0.05,     ur_rate = ur_rate,     ae_per_visit_mean = 0.5,     max_visit_mean = 20,     max_visit_sd = 2   )      if(ur_rate == 0) {     df$is_ur <- FALSE   }      return(df) }  df_data_grid <- tibble(     ur_rate = c(0, 0.1, 0.25, 0.5, 0.75, 1),     seed = list(seq(1, 500))   ) %>%  unnest(seed) %>%  mutate(    data = map2(ur_rate, seed, standard_sim)  )   df_data_grid ## # A tibble: 3,000 × 3 ##    ur_rate  seed data                 ##      <dbl> <int> <list>               ##  1       0     1 <tibble [3,891 × 8]> ##  2       0     2 <tibble [3,892 × 8]> ##  3       0     3 <tibble [3,891 × 8]> ##  4       0     4 <tibble [3,866 × 8]> ##  5       0     5 <tibble [3,899 × 8]> ##  6       0     6 <tibble [3,887 × 8]> ##  7       0     7 <tibble [3,927 × 8]> ##  8       0     8 <tibble [3,869 × 8]> ##  9       0     9 <tibble [3,884 × 8]> ## 10       0    10 <tibble [3,884 × 8]> ## # ℹ 2,990 more rows df_visit <- df_data_grid %>%   mutate(     study_id = paste0(       \"study-\",        str_pad(ur_rate, width= 3, side = \"left\", pad = \"0\"),       \"-\",       seed       )   ) %>%   unnest(data)  df_visit %>%   head(25) %>%   knitr::kable() df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit)  df_eval <- eval_sites(df_sim_sites) df_perf <- df_visit %>%   select(ur_rate, study_id, site_number, is_ur) %>%   distinct() %>%   left_join(df_eval, by = c(\"study_id\", \"site_number\")) %>%   mutate(is_ur_detected = prob_low_prob_ur >= 0.95) %>%   group_by(ur_rate, is_ur, is_ur_detected) %>%   count()  readr::write_csv(df_perf, file = \"scen_st.csv\") remove(df_visit) # free up RAM df_perf <- readr::read_csv(file = \"scen_st.csv\")  df_perf %>%   knitr::kable() get_prop_test_ci95 <- function(..., ix) {      stopifnot(ix %in% c(1, 2))      tryCatch(     prop.test(...)$conf.int[ix],     error = function(cnd) c(NA, NA)[ix]   ) }  df_perf_st <- df_perf %>%   group_by(ur_rate) %>%   summarize(     N = sum(ifelse(! is_ur, n, 0)),     P = sum(ifelse(is_ur, n, 0)),     TP = sum(ifelse(is_ur & is_ur_detected, n, 0)),     FP = sum(ifelse(! is_ur & is_ur_detected, n, 0)),     TN = sum(ifelse(! is_ur & ! is_ur_detected, n, 0)),     FN = sum(ifelse(is_ur & ! is_ur_detected, n, 0))   ) %>%   mutate(     tpr = TP / P,     tpr_ci95_low = map2_dbl(TP, P, get_prop_test_ci95, ix = 1),     tpr_ci95_high = map2_dbl(TP, P, get_prop_test_ci95, ix = 2),     fpr = FP / N,     fpr_ci95_low = map2_dbl(FP, N, get_prop_test_ci95, ix = 1),     fpr_ci95_high = map2_dbl(FP, N, get_prop_test_ci95, ix = 2)   )  df_perf_st %>%   knitr::kable(digit = 4)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"effect-of-adjusting-visit_med75","dir":"Articles","previous_headings":"Benchmark {simaerep} Using Portfolio Performance","what":"Effect of Adjusting visit_med75","title":"(superseeded) simaerep Portfolio Performance","text":"One latest update simaerep improvement visit_med75 calculation. can check affected portfolio performance. find likely slightly increased performance.","code":"df_scen_old_visit_med75 <- sim_ur_scenarios(    df_portf,    extra_ur_sites = 5,    ur_rate = c(0.1, 0.25, 0.5, 0.75, 1),    parallel = TRUE,    poisson = TRUE,    prob_lower = TRUE,    progress = TRUE,    site_aggr_args = list(method = \"med75\") # default is \"med75_adj\" )   readr::write_csv(df_scen_old_visit_med75, file = \"scen_old.csv\") df_scen_old_visit_med75 <- readr::read_csv(\"scen_old.csv\")  df_scen_old_visit_med75 %>%   head(25) %>%   knitr::kable() df_perf_portf_old_visit_med75 <- df_scen_old_visit_med75 %>%   mutate(is_ur = prob_low_prob_ur >= 0.95) %>%   group_by(ur_rate, is_ur) %>%   count() %>%   pivot_wider(     names_from = is_ur,     values_from = n,     names_prefix = \"is_ur_\"   ) %>%   mutate(     n_sites = is_ur_TRUE + is_ur_FALSE,     ratio = is_ur_TRUE / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = prop.test(is_ur_TRUE, n_sites)$conf.int[1],     ci95_high = prop.test(is_ur_TRUE, n_sites)$conf.int[2]   )   df_perf_portf_old_visit_med75 %>%   knitr::kable(digits = 3)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"days-vs--visits","dir":"Articles","previous_headings":"Benchmark {simaerep} Using Portfolio Performance","what":"Days vs. Visits","title":"(superseeded) simaerep Portfolio Performance","text":"Instead normalising AEs per patient visit alternative normalise number days passed since patients enrollment. {simaerep} can used types normalisation demonstrated . normalising days bit complex creates data points. maximum number days per patient can several years, > 1000 days. simaerep exposes implicitly missing entries can lead single patients 1000 entries , one entry day study. order avoid generate huge portfolio data frame preserve memory wrapping sim_test_data_portfolio() sim_ur_scenarios() single call apply per study.","code":"wr <- function(df) {   df_portf <- sim_test_data_portfolio(df, parallel = FALSE, progress = FALSE)   df_scen <- sim_ur_scenarios(df_portf,                                extra_ur_sites = 5,                                ur_rate = c(0.1, 0.25, 0.5, 0.75, 1),                                parallel = FALSE,                                poisson = TRUE,                                prob_lower = TRUE,                                progress = FALSE)   return(df_scen) }  df_prep <- df_config %>%   select(- max_visit_sd, - max_visit_mean, - ae_per_visit_mean) %>%   rename(max_visit_sd = max_days_sd,          max_visit_mean = max_days_mean,          ae_per_visit_mean = ae_per_day_mean) %>%   group_by(study_id_gr = study_id) %>%   nest() %>%   ungroup()   progressr::with_progress(   df_scen_days <- df_prep %>%     mutate(data = purrr_bar(       .data$data,       .purrr = furrr::future_map,       .f = wr,       .progress = TRUE,       .steps = nrow(.),       .purrr_args = list(.options = furrr_options(seed = TRUE))       )    ) )  df_scen_days <- df_scen_days %>%   unnest(data) %>%   select(- study_id_gr)  readr::write_csv(df_scen_days, file = \"scen_days.csv\") df_scen_days <- readr::read_csv(\"scen_days.csv\")  df_scen_days %>%   head(25) %>%   knitr::kable() df_perf_portf_days <- df_scen_days %>%   mutate(is_ur = prob_low_prob_ur >= 0.95) %>%   group_by(ur_rate, is_ur) %>%   count() %>%   pivot_wider(     names_from = is_ur,     values_from = n,     names_prefix = \"is_ur_\"   ) %>%   mutate(     n_sites = is_ur_TRUE + is_ur_FALSE,     ratio = is_ur_TRUE / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = prop.test(is_ur_TRUE, n_sites)$conf.int[1],     ci95_high = prop.test(is_ur_TRUE, n_sites)$conf.int[2]   )   df_perf_portf_days %>%   knitr::kable(digits = 3)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"heuristic-rank","dir":"Articles","previous_headings":"Benchmark {simaerep} Using Portfolio Performance","what":"Heuristic Rank","title":"(superseeded) simaerep Portfolio Performance","text":"Instead using {simaerep} can also use heuristic method based AE per visit apply simulated portfolio different scenarios -reporting Flag 5% (always round ) sites study lowest AE per visit rate. Always flag sites AEs. write function : - determines many sites flagged study - pools ae_per_visit rates ranks sites (using dense_rank()) - site gets flagged specific rank site within number sites get flagged Next wrap function another function simulates -reporting apply. see method generously flagging sites resulting good tpr cost high fpr. default least one site per study gets flagged.","code":"df_ae_per_vs <-df_portf %>%   group_by(study_id, site_number, patnum) %>%   filter(visit == max(visit)) %>%   group_by(study_id, site_number) %>%   summarise(visit = sum(visit),             n_ae = sum(n_ae),             .groups = \"drop\") %>%   mutate(ae_per_visit = n_ae / visit) %>%   group_by(study_id) %>%   mutate(     ls_study_ae_per_visit = list(ae_per_visit),     rwn = row_number(),     # we take out site ae_per_visit from study pool     ls_study_ae_per_visit = map2(         ls_study_ae_per_visit, rwn,         function(ls, rwn) ls[- rwn]       )   ) %>%   select(- rwn) %>%   ungroup()  df_ae_per_vs ## # A tibble: 15,674 × 6 ##    study_id site_number visit  n_ae ae_per_visit ls_study_ae_per_visit ##    <chr>    <chr>       <int> <int>        <dbl> <list>                ##  1 0001     0001           44    13        0.295 <dbl [43]>            ##  2 0001     0002           53    15        0.283 <dbl [43]>            ##  3 0001     0003           74    19        0.257 <dbl [43]>            ##  4 0001     0004          215    57        0.265 <dbl [43]>            ##  5 0001     0005           30     9        0.3   <dbl [43]>            ##  6 0001     0006           35    11        0.314 <dbl [43]>            ##  7 0001     0007           36    14        0.389 <dbl [43]>            ##  8 0001     0008          172    37        0.215 <dbl [43]>            ##  9 0001     0009           40    19        0.475 <dbl [43]>            ## 10 0001     0010          137    32        0.234 <dbl [43]>            ## # ℹ 15,664 more rows flag_heuristics_rnk <- function(ae_per_visit, ls_study_ae_per_visit) {      n_flags <- ceiling(length(ls_study_ae_per_visit + 1) * 0.05)    rnk <- tibble(ae_per_visit = ae_per_visit, site = \"site\") %>%     bind_rows(       tibble(ae_per_visit = ls_study_ae_per_visit, site = \"other\")     ) %>%     # using dense_rank will assign rank 1 to all sites with lowest rate     # this is important as there can be many sites with a zero ratio     # occasionally this will flag more sites than anticipated     arrange(ae_per_visit, site) %>%     mutate(rnk = dense_rank(ae_per_visit)) %>%     filter(site == \"site\") %>%     pull(rnk)      return(rnk <= n_flags) }  flag_heuristics_rnk(   df_ae_per_vs$ae_per_visit[[1]],   df_ae_per_vs$ls_study_ae_per_visit[[1]] ) ## [1] FALSE sim_heuristic_ur <- function(ae_per_visit,                              ls_study_ae_per_visit,                              ur_rates,                              .f = flag_heuristics_rnk) {   tibble(     ur_rate = ur_rates,     ae_per_visit = ae_per_visit   ) %>%   mutate(     ae_per_visit = ae_per_visit * (1 - ur_rate),     is_ur = map_lgl(ae_per_visit, .f, ls_study_ae_per_visit)   ) }  sim_heuristic_ur(   df_ae_per_vs$ae_per_visit[[1]],   df_ae_per_vs$ls_study_ae_per_visit[[1]],   ur_rates = c(0, 0.1, 0.25, 0.5, 0.75, 1) ) ## # A tibble: 6 × 3 ##   ur_rate ae_per_visit is_ur ##     <dbl>        <dbl> <lgl> ## 1    0          0.295  FALSE ## 2    0.1        0.266  FALSE ## 3    0.25       0.222  FALSE ## 4    0.5        0.148  TRUE  ## 5    0.75       0.0739 TRUE  ## 6    1          0      TRUE progressr::with_progress(   df_perf_heuristic_rnk <- df_ae_per_vs %>%     mutate(       sim = simaerep::purrr_bar(         ae_per_visit, ls_study_ae_per_visit,         .purrr = furrr::future_map2,         .f = sim_heuristic_ur,         .f_args = list(ur_rates = c(0, 0.1, 0.25, 0.5, 0.75, 1)),         .steps = nrow(.)       )     ) )  df_perf_heuristic_rnk <- df_perf_heuristic_rnk %>%   select(sim) %>%   unnest(sim) %>%   group_by(ur_rate) %>%   summarise(     is_ur = sum(is_ur),     n_sites = n(),     .groups = \"drop\"   ) %>%   mutate(     ratio = is_ur / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = map2_dbl(is_ur, n_sites, get_prop_test_ci95, ix = 1),     ci95_high = map2_dbl(is_ur, n_sites, get_prop_test_ci95, ix = 2),   )  readr::write_csv(df_perf_heuristic_rnk, file = \"heuristic_rnk.csv\") df_perf_heuristic_rnk <- readr::read_csv(file = \"heuristic_rnk.csv\")  df_perf_heuristic_rnk %>%   knitr::kable(digits = 3)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"heuristic-box-plot-outlier","dir":"Articles","previous_headings":"Benchmark {simaerep} Using Portfolio Performance","what":"Heuristic Box Plot Outlier","title":"(superseeded) simaerep Portfolio Performance","text":"can also imagine heuristic tries detect lower boundary outliers basis ae per visit rate. flagging conservatively without flagging sites default. simple non-parametric method outlier detection calculate box plot statistic flag points lower whisker boundary. apply.","code":"flag_heuristics_box <- function(ae_per_visit, ls_study_ae_per_visit) {      min_whisker <- min(boxplot.stats(c(ae_per_visit, ls_study_ae_per_visit))$stats)   return(ae_per_visit < min_whisker)    }  flag_heuristics_box(   df_ae_per_vs$ae_per_visit[[1]],   df_ae_per_vs$ls_study_ae_per_visit[[1]] ) ## [1] FALSE flag_heuristics_box(   0,   df_ae_per_vs$ls_study_ae_per_visit[[1]] ) ## [1] TRUE progressr::with_progress(   df_perf_heuristic_box <- df_ae_per_vs %>%     mutate(       sim = simaerep::purrr_bar(         ae_per_visit, ls_study_ae_per_visit,         .purrr = furrr::future_map2,         .f = sim_heuristic_ur,         .f_args = list(           ur_rates = c(0, 0.1, 0.25, 0.5, 0.75, 1),           .f = flag_heuristics_box           ),         .steps = nrow(.)       )     ) )  df_perf_heuristic_box <- df_perf_heuristic_box %>%   select(sim) %>%   unnest(sim) %>%   group_by(ur_rate) %>%   summarise(     is_ur = sum(is_ur),     n_sites = n(),     .groups = \"drop\"   ) %>%   mutate(     ratio = is_ur / n_sites,     ratio_type = ifelse(ur_rate == 0, \"fpr\", \"tpr\"),     ci95_low = map2_dbl(is_ur, n_sites, get_prop_test_ci95, ix = 1),     ci95_high = map2_dbl(is_ur, n_sites, get_prop_test_ci95, ix = 2),   )  readr::write_csv(df_perf_heuristic_box, file = \"heuristic_box.csv\") df_perf_heuristic_box <- readr::read_csv(file = \"heuristic_box.csv\")  df_perf_heuristic_box %>%   knitr::kable(digits = 3)"},{"path":"https://openpharma.github.io/simaerep/articles/portfolio_perf.html","id":"plot-performance-metrics","dir":"Articles","previous_headings":"","what":"Plot Performance Metrics","title":"(superseeded) simaerep Portfolio Performance","text":"{simaerep} reduces false positive rate compared heuristics. Rank-based heuristics higher true positive rates cost higher false positive rates. Similar effects achieved lowering {simaerep} flagging threshold Using AE per visits AE per patient days better performance. Adjusting visit_med75 also improved performance {simaerep} results closest boxplot outlier heuristic better overall performance optimal conditions {simaerep} catches almost -reporting sites -reporting rate greater 0.5","code":"prep_for_plot <- function(df, type) {   df %>%     mutate(ur_rate = paste0(\"under-reporting rate: \",  ur_rate, \" - \", ratio_type),            ur_rate = ifelse(str_detect(ur_rate, \"fpr\"), \"fpr\", ur_rate)) %>%     select(ur_rate, ratio_type, ratio, ci95_low, ci95_high) %>%     mutate(type = type) }  df_perf <- df_perf_st %>%   filter(ur_rate == 0) %>%   mutate(ratio_type = \"fpr\") %>%   select(ur_rate, ratio_type, ratio = fpr, ci95_low = fpr_ci95_low, ci95_high = fpr_ci95_high) %>%   bind_rows(     df_perf_st %>%       filter(ur_rate > 0) %>%       mutate(ratio_type = \"tpr\") %>%       select(ur_rate, ratio_type, ratio = tpr, ci95_low = tpr_ci95_low, ci95_high = tpr_ci95_high)   ) %>%   prep_for_plot(type = \"{simaerep} optimal study conditions\") %>%   bind_rows(     prep_for_plot(df_perf_portf, type = \"{simaerep} default\"),     prep_for_plot(df_perf_portf_days, type = \"{simaerep} AE per days on study\"),     prep_for_plot(df_perf_portf_old_visit_med75, type = \"{simaerep} unadjusted visit-med75\"),     prep_for_plot(df_perf_heuristic_rnk, type = \"heuristic - rank\"),     prep_for_plot(df_perf_heuristic_box, type = \"heuristic - boxplot outlier\"),   ) %>%   mutate(     type = fct_relevel(type, c(       \"heuristic - boxplot outlier\",       \"heuristic - rank\",       \"{simaerep} default\",       \"{simaerep} optimal study conditions\"       )     )   )   df_perf %>%   mutate(color = ifelse(type == \"{simaerep} default\", \"violetred2\", \"darkgrey\"),          ref = ifelse(type == \"{simaerep} default\", ratio, 0)) %>%   group_by(ur_rate) %>%   mutate(ref = max(ref)) %>%   ggplot(aes(type, ratio)) +     geom_hline(aes(yintercept = ref),                linetype = 2,                color = \"violetred2\") +     geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = color)) +     facet_wrap(~ ur_rate, ncol = 1) +     scale_colour_identity() +     coord_flip() +     labs(       x = \"\",       y = \"CI95 Performance Ratio\",        title = \"{simaerep} Performance\",       subtitle = \"Only one under-reporting site per study.\\nCut-Off Under-Reporting Probability: 0.95\"     ) df_perf %>%   arrange(ur_rate, desc(type)) %>%   select(ur_rate, type, ratio, ci95_low, ci95_high) %>%   knitr::kable(digits = 3) plan(sequential)"},{"path":"https://openpharma.github.io/simaerep/articles/sas_files.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"SAS Files as a Data Source","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(simaerep)) suppressPackageStartupMessages(library(haven))"},{"path":"https://openpharma.github.io/simaerep/articles/sas_files.html","id":"sas-files","dir":"Articles","previous_headings":"","what":"SAS files","title":"SAS Files as a Data Source","text":"Typically clinical data stored several SAS files standardized format. need files visits AEs recorded. demo selected anonymized data set contains patients enrolled control arm. data sets AE onset dates visit dates replaced number days passed since specific cut-date. can proceed similar way order assign AE visit union event tables sort date. patient example AE first visit AEs NA date aggregate visit number. patient example . control check whether numbers visits AEs processed data still matches number AEs original data.","code":"df_ae <- haven::read_sas('adae.sas7bdat') %>%   select(STUDYID, SUBJID, SITEID, AESTDY)   df_ae ## # A tibble: 4,702 × 4 ##    STUDYID    SUBJID   SITEID AESTDY ##    <chr>      <chr>    <chr>   <dbl> ##  1 CO-101-001 01001001 001       -14 ##  2 CO-101-001 01001001 001       -13 ##  3 CO-101-001 01001001 001        50 ##  4 CO-101-001 01001001 001        67 ##  5 CO-101-001 01001001 001        77 ##  6 CO-101-001 01001001 001        84 ##  7 CO-101-001 01001001 001        99 ##  8 CO-101-001 01001001 001        99 ##  9 CO-101-001 01001001 001       127 ## 10 CO-101-001 01001001 001       127 ## # ℹ 4,692 more rows df_vs <- haven::read_sas('advs.sas7bdat') %>%   select(STUDYID, SUBJID, SITEID, ADY)   df_vs ## # A tibble: 45,176 × 4 ##    STUDYID    SUBJID   SITEID   ADY ##    <chr>      <chr>    <chr>  <dbl> ##  1 CO-101-001 01001001 001       -7 ##  2 CO-101-001 01001001 001        1 ##  3 CO-101-001 01001001 001        1 ##  4 CO-101-001 01001001 001        8 ##  5 CO-101-001 01001001 001        8 ##  6 CO-101-001 01001001 001       15 ##  7 CO-101-001 01001001 001       15 ##  8 CO-101-001 01001001 001       29 ##  9 CO-101-001 01001001 001       29 ## 10 CO-101-001 01001001 001       38 ## # ℹ 45,166 more rows df_ae <- df_ae %>%   rename(DY = AESTDY) %>%   mutate(EVENT = \"AE\")  df_vs <- df_vs %>%   rename(DY = ADY) %>%   mutate(EVENT = \"VS\") %>%   # we ignore visits that have no date   filter(! is.na(DY)) %>%   # we are not interested in same day visits   distinct()  df_aevs <- bind_rows(df_ae, df_vs) %>%   # NA's get sorted towards the end thus AEs with no date get sorted towards last visit   arrange(STUDYID, SITEID, SUBJID, DY) %>%   group_by(STUDYID, SITEID, SUBJID) %>%   mutate(AE_NO = cumsum(ifelse(EVENT == \"AE\", 1, 0)),          VS_NO = cumsum(ifelse(EVENT == \"VS\", 1, 0))) %>%   # we remove patients with 0 visits   filter(max(VS_NO) > 0) %>%   # AE's before fist visit should register to visit 1 not zero   mutate(VS_NO = ifelse(VS_NO == 0, 1, VS_NO)) df_aevs %>%   filter(SUBJID == \"01007004\") %>%   knitr::kable() df_aevs_aggr <- df_aevs %>%   group_by(STUDYID, SITEID, SUBJID, VS_NO) %>%   summarise(MIN_AE_NO = min(AE_NO),             MAX_AE_NO = max(AE_NO),             .groups = \"drop\") %>%   group_by(STUDYID, SITEID, SUBJID) %>%   mutate(MAX_VS_PAT = max(VS_NO)) %>%   ungroup() %>%   # assign AEs that occur after last visit to last AE   mutate(     CUM_AE = ifelse(       VS_NO == MAX_VS_PAT,       MAX_AE_NO,       MIN_AE_NO)     ) df_aevs_aggr  %>%   filter(SUBJID == \"01007004\") %>%   knitr::kable() stopifnot(nrow(df_aevs_aggr) == nrow(df_vs))  n_aes <- df_aevs_aggr %>%   group_by(SUBJID) %>%   summarize(n_aes = max(CUM_AE)) %>%   pull(n_aes) %>%   sum()  n_aes_original <- df_ae %>%   # all AEs for patients with more than 1 visit   filter(SUBJID %in% df_aevs$SUBJID) %>%   nrow()  stopifnot(n_aes == n_aes_original)"},{"path":"https://openpharma.github.io/simaerep/articles/sas_files.html","id":"simaerep","dir":"Articles","previous_headings":"","what":"{simaerep}","title":"SAS Files as a Data Source","text":"renaming columns can pass aggregated data SAS files simaerep  Left panel shows mean AE reporting per site (lightblue darkblue lines) mean AE reporting entire study (golden line). Single sites plotted descending order AE -reporting probability right panel grey lines denote cumulative AE count single patients. Grey dots left panel plot indicate sites picked single plotting. AE -reporting probability dark blue lines crossed threshold 95%. Numbers upper left corner indicate ratio patients used analysis total number patients. Patients study long enough reach evaluation point (visit_med75, see introduction) ignored.","code":"df_visit <- df_aevs_aggr %>%   rename(     study_id = \"STUDYID\",     site_number = \"SITEID\",     patnum = \"SUBJID\",     n_ae = \"CUM_AE\",     visit = \"VS_NO\"   )  %>%   select(study_id, site_number, patnum, n_ae, visit)  df_visit ## # A tibble: 5,432 × 5 ##    study_id   site_number patnum    n_ae visit ##    <chr>      <chr>       <chr>    <dbl> <dbl> ##  1 CO-101-001 001         01001001     1     1 ##  2 CO-101-001 001         01001001     2     2 ##  3 CO-101-001 001         01001001     2     3 ##  4 CO-101-001 001         01001001     2     4 ##  5 CO-101-001 001         01001001     2     5 ##  6 CO-101-001 001         01001001     2     6 ##  7 CO-101-001 001         01001001     2     7 ##  8 CO-101-001 001         01001001     3     8 ##  9 CO-101-001 001         01001001     3     9 ## 10 CO-101-001 001         01001001     6    10 ## # ℹ 5,422 more rows aerep <- simaerep(df_visit)  plot(aerep)"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Address Usability Limits of Bootstrap Method","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(furrr)) suppressPackageStartupMessages(library(future)) suppressPackageStartupMessages(library(simaerep))"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Address Usability Limits of Bootstrap Method","text":"already mentioned introduction bootstrap resampling comes price. need good proportion sites compliant -reporting AEs. Otherwise patient pool draw tainted. Also, general count data, negative deviations overall small integer values (3 less) hard detect. assess usability limits bootstrap resampling method applying different simulated scenarios.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"parameter-grid","dir":"Articles","previous_headings":"","what":"Parameter Grid","title":"Address Usability Limits of Bootstrap Method","text":"start defining parameter grid. Fixed Parameters: - n_pat: 1000 - n_sites: 100 - max_visit_mean: 20 - max_visit_sd: 4 Variable Parameters: - ae_visit: 0.05 - 2 - frac_sites_wit_ur: 0.05 - 0.75 - ur_rate: 0.05 - 1","code":"set.seed(1)  df_grid <- tibble( ae_per_visit_mean = seq(0.05, 2, length.out = 10)) %>%   mutate(frac_site_with_ur = list(seq(0.05, 0.75, length.out = 10))) %>%   unnest(frac_site_with_ur) %>%   mutate(ur_rate = list(seq(0.05, 1, length.out = 10)) ) %>%   unnest(ur_rate)   df_grid ## # A tibble: 1,000 × 3 ##    ae_per_visit_mean frac_site_with_ur ur_rate ##                <dbl>             <dbl>   <dbl> ##  1              0.05              0.05   0.05  ##  2              0.05              0.05   0.156 ##  3              0.05              0.05   0.261 ##  4              0.05              0.05   0.367 ##  5              0.05              0.05   0.472 ##  6              0.05              0.05   0.578 ##  7              0.05              0.05   0.683 ##  8              0.05              0.05   0.789 ##  9              0.05              0.05   0.894 ## 10              0.05              0.05   1     ## # … with 990 more rows"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"apply","dir":"Articles","previous_headings":"","what":"Apply","title":"Address Usability Limits of Bootstrap Method","text":"use furrr future package multiprocessing. proceed applying functions already introduced.","code":"suppressWarnings(future::plan(multiprocess))"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"simulate-test-data","dir":"Articles","previous_headings":"Apply","what":"Simulate Test Data","title":"Address Usability Limits of Bootstrap Method","text":"iteratively apply sim_test_data_study() different parameter combination grid","code":"df_grid <- df_grid %>%   mutate(      df_visit = furrr::future_pmap(       list(am = ae_per_visit_mean,            fr = frac_site_with_ur,            ur = ur_rate),       function(am, fr, ur) sim_test_data_study(n_pat = 1000,                                                n_sites = 100,                                                max_visit_mean = 20,                                                max_visit_sd = 4,                                                ae_per_visit_mean = am,                                                frac_site_with_ur = fr,                                                ur_rate = ur),       .progress = FALSE,       .options = furrr_options(seed = TRUE)     )   )  df_grid ## # A tibble: 1,000 × 4 ##    ae_per_visit_mean frac_site_with_ur ur_rate df_visit              ##                <dbl>             <dbl>   <dbl> <list>                ##  1              0.05              0.05   0.05  <tibble [19,459 × 8]> ##  2              0.05              0.05   0.156 <tibble [19,631 × 8]> ##  3              0.05              0.05   0.261 <tibble [19,234 × 8]> ##  4              0.05              0.05   0.367 <tibble [19,523 × 8]> ##  5              0.05              0.05   0.472 <tibble [19,518 × 8]> ##  6              0.05              0.05   0.578 <tibble [19,545 × 8]> ##  7              0.05              0.05   0.683 <tibble [19,503 × 8]> ##  8              0.05              0.05   0.789 <tibble [19,351 × 8]> ##  9              0.05              0.05   0.894 <tibble [19,473 × 8]> ## 10              0.05              0.05   1     <tibble [19,489 × 8]> ## # … with 990 more rows"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"aggregate-test-data","dir":"Articles","previous_headings":"Apply","what":"Aggregate Test Data","title":"Address Usability Limits of Bootstrap Method","text":"apply site_aggr() different simulated data sets.","code":"df_grid <- df_grid %>%   mutate(      df_visit = map2(df_visit, row_number(),                     function(x,y) mutate(x, study_id = paste(\"S\", y))),     df_site = furrr::future_map(df_visit,                                 site_aggr,                                 .progress = FALSE,                                 .options = furrr_options(seed = TRUE)                                 )   )  df_grid ## # A tibble: 1,000 × 5 ##    ae_per_visit_mean frac_site_with_ur ur_rate df_visit              df_site  ##                <dbl>             <dbl>   <dbl> <list>                <list>   ##  1              0.05              0.05   0.05  <tibble [19,459 × 9]> <tibble> ##  2              0.05              0.05   0.156 <tibble [19,631 × 9]> <tibble> ##  3              0.05              0.05   0.261 <tibble [19,234 × 9]> <tibble> ##  4              0.05              0.05   0.367 <tibble [19,523 × 9]> <tibble> ##  5              0.05              0.05   0.472 <tibble [19,518 × 9]> <tibble> ##  6              0.05              0.05   0.578 <tibble [19,545 × 9]> <tibble> ##  7              0.05              0.05   0.683 <tibble [19,503 × 9]> <tibble> ##  8              0.05              0.05   0.789 <tibble [19,351 × 9]> <tibble> ##  9              0.05              0.05   0.894 <tibble [19,473 × 9]> <tibble> ## 10              0.05              0.05   1     <tibble [19,489 × 9]> <tibble> ## # … with 990 more rows"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"simulate-sites","dir":"Articles","previous_headings":"Apply","what":"Simulate Sites","title":"Address Usability Limits of Bootstrap Method","text":"apply sim_sites() calculate AE -reporting probability.","code":"df_grid <- df_grid %>%   mutate( df_sim_sites = furrr::future_map2(df_site, df_visit,                                             sim_sites,                                             r = 1000,                                             poisson_test = TRUE,                                             prob_lower = TRUE,                                             .progress = FALSE,                                             .options = furrr_options(seed = TRUE)                                             )   )  df_grid ## # A tibble: 1,000 × 6 ##    ae_per_visit_mean frac_site_with_ur ur_rate df_visit df_site  df_sim_sites ##                <dbl>             <dbl>   <dbl> <list>   <list>   <list>       ##  1              0.05              0.05   0.05  <tibble> <tibble> <tibble>     ##  2              0.05              0.05   0.156 <tibble> <tibble> <tibble>     ##  3              0.05              0.05   0.261 <tibble> <tibble> <tibble>     ##  4              0.05              0.05   0.367 <tibble> <tibble> <tibble>     ##  5              0.05              0.05   0.472 <tibble> <tibble> <tibble>     ##  6              0.05              0.05   0.578 <tibble> <tibble> <tibble>     ##  7              0.05              0.05   0.683 <tibble> <tibble> <tibble>     ##  8              0.05              0.05   0.789 <tibble> <tibble> <tibble>     ##  9              0.05              0.05   0.894 <tibble> <tibble> <tibble>     ## 10              0.05              0.05   1     <tibble> <tibble> <tibble>     ## # … with 990 more rows"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"evaluate-sites","dir":"Articles","previous_headings":"Apply","what":"Evaluate Sites","title":"Address Usability Limits of Bootstrap Method","text":"apply eval_sites() balance bootstrapped probabilities expected number false positives.","code":"df_grid <- df_grid %>%   mutate( df_eval = furrr::future_map(df_sim_sites,                                       eval_sites,                                       .progress = FALSE,                                       .options = furrr_options(seed = TRUE)                                       )   )  df_grid ## # A tibble: 1,000 × 7 ##    ae_per_visit_mean frac_site_with_ur ur_rate df_visit df_site  df_sim_sites ##                <dbl>             <dbl>   <dbl> <list>   <list>   <list>       ##  1              0.05              0.05   0.05  <tibble> <tibble> <tibble>     ##  2              0.05              0.05   0.156 <tibble> <tibble> <tibble>     ##  3              0.05              0.05   0.261 <tibble> <tibble> <tibble>     ##  4              0.05              0.05   0.367 <tibble> <tibble> <tibble>     ##  5              0.05              0.05   0.472 <tibble> <tibble> <tibble>     ##  6              0.05              0.05   0.578 <tibble> <tibble> <tibble>     ##  7              0.05              0.05   0.683 <tibble> <tibble> <tibble>     ##  8              0.05              0.05   0.789 <tibble> <tibble> <tibble>     ##  9              0.05              0.05   0.894 <tibble> <tibble> <tibble>     ## 10              0.05              0.05   1     <tibble> <tibble> <tibble>     ## # … with 990 more rows, and 1 more variable: df_eval <list>"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"get-metrics","dir":"Articles","previous_headings":"Apply","what":"Get Metrics","title":"Address Usability Limits of Bootstrap Method","text":"Apart calculating true false positives rate final -reporting probability also calculate metrics couple benchmark probabilities. p-values returned poisson.test() probabilities p-values adjusting expected false positives cases use 95% probability threshold.","code":"get_metrics <- function(df_visit, df_eval, method) {      if (method == \"ptest\") {     prob_ur_adj = \"pval_prob_ur\"     prob_ur_unadj = \"pval\"   } else {     prob_ur_adj = \"prob_low_prob_ur\"     prob_ur_unadj = \"prob_low\"   }      df_ur <- df_visit %>%     select(site_number, is_ur) %>%     distinct()    df_metric_prep <- df_eval %>%     left_join(df_ur, \"site_number\") %>%     rename( prob_ur_adj = !! as.name(prob_ur_adj),             prob_ur_unadj = !! as.name(prob_ur_unadj) )      df_metric_adjusted <- df_metric_prep %>%     select(study_id, site_number, is_ur, prob_ur_adj) %>%     mutate( tp = ifelse(is_ur & prob_ur_adj >= 0.95, 1, 0),             fn = ifelse(is_ur & prob_ur_adj < 0.95, 1, 0),             tn = ifelse((! is_ur) & prob_ur_adj < 0.95, 1, 0),             fp = ifelse((! is_ur) & prob_ur_adj >= 0.95, 1, 0),             p = ifelse(prob_ur_adj >= 0.95, 1, 0),             n = ifelse(prob_ur_adj < 0.95, 1, 0),             P = ifelse(is_ur, 1, 0),             N = ifelse(! is_ur, 1, 0)     ) %>%     group_by(study_id) %>%     select(-site_number, - is_ur, - prob_ur_adj) %>%     summarize_all(sum) %>%     mutate(prob_type = \"adjusted\")      df_metric_unadjusted <- df_metric_prep %>%     select(study_id, site_number, is_ur, prob_ur_unadj) %>%     mutate( tp = ifelse(is_ur & prob_ur_unadj <= 0.05, 1, 0),             fn = ifelse(is_ur & prob_ur_unadj > 0.05, 1, 0),             tn = ifelse((! is_ur) & prob_ur_unadj > 0.05, 1, 0),             fp = ifelse((! is_ur) & prob_ur_unadj <= 0.05, 1, 0),             p = ifelse(prob_ur_unadj <= 0.05, 1, 0),             n = ifelse(prob_ur_unadj > 0.05, 1, 0),             P = ifelse(is_ur, 1, 0),             N = ifelse(! is_ur, 1, 0)     ) %>%     group_by(study_id) %>%     select(-site_number, - is_ur, - prob_ur_unadj) %>%     summarize_all(sum) %>%     mutate(prob_type = \"unadjusted\")      df_metric <- bind_rows(df_metric_adjusted, df_metric_unadjusted) %>%     mutate(method = method) }  df_grid <- df_grid %>%   mutate(df_metric_pval = furrr::future_map2(df_visit, df_eval,                                               get_metrics,                                               method = \"ptest\"),          df_metric_prob_low = furrr::future_map2(df_visit, df_eval,                                                 get_metrics,                                                 method = \"bootstrap\"),          df_metric = map2(df_metric_pval, df_metric_prob_low, bind_rows)          )  df_grid ## # A tibble: 1,000 × 10 ##    ae_per_visit_mean frac_site_with_ur ur_rate df_visit df_site  df_sim_sites ##                <dbl>             <dbl>   <dbl> <list>   <list>   <list>       ##  1              0.05              0.05   0.05  <tibble> <tibble> <tibble>     ##  2              0.05              0.05   0.156 <tibble> <tibble> <tibble>     ##  3              0.05              0.05   0.261 <tibble> <tibble> <tibble>     ##  4              0.05              0.05   0.367 <tibble> <tibble> <tibble>     ##  5              0.05              0.05   0.472 <tibble> <tibble> <tibble>     ##  6              0.05              0.05   0.578 <tibble> <tibble> <tibble>     ##  7              0.05              0.05   0.683 <tibble> <tibble> <tibble>     ##  8              0.05              0.05   0.789 <tibble> <tibble> <tibble>     ##  9              0.05              0.05   0.894 <tibble> <tibble> <tibble>     ## 10              0.05              0.05   1     <tibble> <tibble> <tibble>     ## # … with 990 more rows, and 4 more variables: df_eval <list>, ## #   df_metric_pval <list>, df_metric_prob_low <list>, df_metric <list>"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"plot","dir":"Articles","previous_headings":"","what":"Plot","title":"Address Usability Limits of Bootstrap Method","text":"","code":"df_plot <- df_grid %>%   select(ae_per_visit_mean, frac_site_with_ur, ur_rate, df_metric) %>%   unnest(df_metric)  df_plot ## # A tibble: 4,000 × 14 ##    ae_per_visit_mean frac_site_with_ur ur_rate study_id    tp    fn    tn    fp ##                <dbl>             <dbl>   <dbl> <chr>    <dbl> <dbl> <dbl> <dbl> ##  1              0.05              0.05   0.05  S 1          0     5    95     0 ##  2              0.05              0.05   0.05  S 1          0     5    94     1 ##  3              0.05              0.05   0.05  S 1          0     5    95     0 ##  4              0.05              0.05   0.05  S 1          0     5    94     1 ##  5              0.05              0.05   0.156 S 2          0     5    95     0 ##  6              0.05              0.05   0.156 S 2          0     5    95     0 ##  7              0.05              0.05   0.156 S 2          0     5    95     0 ##  8              0.05              0.05   0.156 S 2          0     5    92     3 ##  9              0.05              0.05   0.261 S 3          0     5    95     0 ## 10              0.05              0.05   0.261 S 3          0     5    95     0 ## # … with 3,990 more rows, and 6 more variables: p <dbl>, n <dbl>, P <dbl>, ## #   N <dbl>, prob_type <chr>, method <chr>"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"true-positive-rate---p---tpp","dir":"Articles","previous_headings":"","what":"True positive rate - P - TP/P","title":"Address Usability Limits of Bootstrap Method","text":"comparing bootstrap method poisson.test benchmark test, find perform mostly similar 0.05 - 0.3 ratio -reporting sites. performance still acceptable 0.3 - 0.5 ratio becomes pretty useless. expected detection -reporting sites close impossible ae/visit ratio low (0.05) detection rates close zero tested scenarios.","code":"p <- df_plot %>%   mutate( tp_P_ratio = tp/P) %>%   select(ae_per_visit_mean, frac_site_with_ur, ur_rate, tp_P_ratio, method, prob_type) %>%   mutate_if(is.numeric, round, 3) %>%   mutate(metric = case_when(method == \"ptest\" & prob_type == \"unadjusted\" ~ \"ptest unadjusted\",                            method == \"ptest\" & prob_type == \"adjusted\" ~ \"ptest adjusted\",                            method == \"bootstrap\" & prob_type == \"unadjusted\" ~ \"bootstrap unadjusted\",                            method == \"bootstrap\" & prob_type == \"adjusted\" ~ \"bootstrap adjusted\"),          metric = fct_relevel(metric, c(\"ptest unadjusted\", \"ptest adjusted\",                                         \"bootstrap unadjusted\", \"bootstrap adjusted\"))) %>%   ggplot(aes(ae_per_visit_mean, tp_P_ratio, color = metric)) +     geom_line(aes(linetype = prob_type), size = 0.5, alpha = 0.5) +     facet_grid( frac_site_with_ur ~ ur_rate) +     scale_color_manual(values = c(\"dodgerblue3\", \"skyblue1\", \"sienna4\", \"peru\")) +     theme(panel.grid = element_blank(), legend.position = \"bottom\",           axis.text.x = element_text(angle = 90, vjust = 0.5)) +      labs(title = \"AE Under Reporting Rate ~ Rate of AE Under-Reporting Sites\",          y = \"True positive rate - tp/P\",          x = \"AEs per Visit\") p"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"false-positive-rate-fpn","dir":"Articles","previous_headings":"","what":"False positive rate FP/N","title":"Address Usability Limits of Bootstrap Method","text":"can show adjusting AE -reporting probability expected number false positives quite effective.false positive rate almost zero tested scenarios. However, also comes cost lowering true positive rate well.","code":"p <- df_plot %>%   mutate( fpr = fp/N) %>%   select(ae_per_visit_mean, frac_site_with_ur, ur_rate, fpr, method, prob_type) %>%   mutate_if(is.numeric, round, 3) %>%   mutate(metric = case_when(method == \"ptest\" & prob_type == \"unadjusted\" ~ \"ptest unadjusted\",                            method == \"ptest\" & prob_type == \"adjusted\" ~ \"ptest adjusted\",                            method == \"bootstrap\" & prob_type == \"unadjusted\" ~ \"bootstrap unadjusted\",                            method == \"bootstrap\" & prob_type == \"adjusted\" ~ \"bootstrap adjusted\"),          metric = fct_relevel(metric, c(\"ptest unadjusted\", \"ptest adjusted\",                                         \"bootstrap unadjusted\", \"bootstrap adjusted\"))) %>%   ggplot(aes(ae_per_visit_mean, fpr, color = metric, linetype = prob_type)) +     geom_line(size = 0.5, alpha = 0.5) +     facet_grid( frac_site_with_ur ~ ur_rate) +     scale_color_manual(values = c(\"dodgerblue3\", \"skyblue1\", \"sienna4\", \"peru\")) +     theme(panel.grid = element_blank(), legend.position = \"bottom\",           axis.text.x = element_text(angle = 90, vjust = 0.5)) +      labs(title = \"AE Under Reporting Rate by Rate of AE Under-Reporting Sites\",          y = \"False positive rate - fp/N\",          x = \"AEs per Visit\") p"},{"path":"https://openpharma.github.io/simaerep/articles/usability_limits.html","id":"conclusion","dir":"Articles","previous_headings":"","what":"Conclusion","title":"Address Usability Limits of Bootstrap Method","text":"already outlined introduction true AE generating process unlikely standard poisson process. Therefore using non-parametric test remains recommended option unless reason believe 50% sites -reporting AEs. also show important adjust expected false positive rate calculating final probabilities. general can say recommend method detecting AE -reporting involves comparing AE counts ae per visit rate 0.05 lower.","code":""},{"path":"https://openpharma.github.io/simaerep/articles/visit_med75.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Adjusted Evaluation Point visit_med75","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(simaerep))"},{"path":"https://openpharma.github.io/simaerep/articles/visit_med75.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Adjusted Evaluation Point visit_med75","text":"Previously used unadjusted visit_med75. Simply taking median maximum patient visits site multiplying 0.75. number patients site reasonably large smallest maximum visit patients making cut-close equal cut-point.","code":"set.seed(1)  df_visit <- sim_test_data_study(   n_pat = 120,   n_sites = 6,   frac_site_with_ur = 0.4,   ur_rate = 0.6)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit, method = \"med75_adj\")  plot_visit_med75(df_visit, df_site, study_id_str = \"A\", n_site = 6) ## purple line:          mean site ae of patients with visit_med75 ## grey line:            patient included ## black dashed line:    patient excluded ## dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  ## solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients ## dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study"},{"path":"https://openpharma.github.io/simaerep/articles/visit_med75.html","id":"only-few-patients-per-site","dir":"Articles","previous_headings":"","what":"Only few Patients per Site","title":"Adjusted Evaluation Point visit_med75","text":"patients per site chances greater smallest maximum visit patients make cut-much greater cut-point thus include visits analysis. cases adjust evaluation point smallest maximum visit patients make initial cut.","code":"set.seed(1)  df_visit <- sim_test_data_study(   n_pat = 24,   n_sites = 6,   frac_site_with_ur = 0.4,   ur_rate = 0.6)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit, method = \"med75_adj\")  plot_visit_med75(df_visit, df_site, study_id_str = \"A\", n_site = 6) ## purple line:          mean site ae of patients with visit_med75 ## grey line:            patient included ## black dashed line:    patient excluded ## dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  ## solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients ## dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study"},{"path":"https://openpharma.github.io/simaerep/articles/visit_med75.html","id":"early-starters","dir":"Articles","previous_headings":"","what":"Early Starters","title":"Adjusted Evaluation Point visit_med75","text":"can happen site early starting patients. avoid evaluation point limited patient pool set maximum limit evaluation point includes least 20% patients study, taking 80% quantile maximum patient visits study.","code":"set.seed(1)  # early starting site df_visit1 <- sim_test_data_study(   n_pat = 3,   n_sites = 1,   max_visit_sd = 2,   max_visit_mean = 40 )  # late starting sites df_visit2 <- sim_test_data_study(   n_pat = 25,   n_sites = 5,   max_visit_sd = 2,   max_visit_mean = 10 )  df_visit1$site_number <- paste0(\"A\", df_visit1$site_number) df_visit2$site_number <- paste0(\"B\", df_visit2$site_number) df_visit1$patnum <- paste0(\"A\", df_visit1$patnum) df_visit2$patnum <- paste0(\"B\", df_visit2$patnum)   df_visit <- bind_rows(df_visit1, df_visit2)  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  plot_visit_med75(df_visit, df_site, study_id_str = \"A\", n_site = 6) ## purple line:          mean site ae of patients with visit_med75 ## grey line:            patient included ## black dashed line:    patient excluded ## dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  ## solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients ## dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study"},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"load","dir":"Articles","previous_headings":"","what":"Load","title":"Aggregate AEs by Days or Visit?","text":"","code":"suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr)) suppressPackageStartupMessages(library(simaerep))"},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"Aggregate AEs by Days or Visit?","text":"generally aggregate AEs visit. patient follows visit schedule specified number days passes consecutive visit. visits scheduled contact point patient physicians day visit usually also day AEs get reported. Alternatively can also choose use simaerep ","code":""},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"load-data","dir":"Articles","previous_headings":"","what":"Load Data","title":"Aggregate AEs by Days or Visit?","text":"load public clinical trial data set contains data control arm see SAS files Data Source Article","code":"df_ae <- haven::read_sas('adae.sas7bdat') %>%   select(STUDYID, SUBJID, SITEID, AESTDY)   df_vs <- haven::read_sas('advs.sas7bdat') %>%   select(STUDYID, SUBJID, SITEID, ADY)   df_ae <- df_ae %>%   rename(DY = AESTDY) %>%   mutate(EVENT = \"AE\")  df_vs <- df_vs %>%   rename(DY = ADY) %>%   mutate(EVENT = \"VS\") %>%   # we ignore visits that have no date   filter(! is.na(DY)) %>%   # we are not interested in same day visits   distinct()  df_aevs <- bind_rows(df_ae, df_vs) %>%   # NA's get sorted towards the end thus AEs with no date get sorted towards last visit   arrange(STUDYID, SITEID, SUBJID, DY) %>%   group_by(STUDYID, SITEID, SUBJID) %>%   mutate(AE_NO = cumsum(ifelse(EVENT == \"AE\", 1, 0)),          VS_NO = cumsum(ifelse(EVENT == \"VS\", 1, 0))) %>%   # we remove patients with 0 visits   filter(max(VS_NO) > 0) %>%   # AE's before fist visit should register to visit 1 not zero   mutate(VS_NO = ifelse(VS_NO == 0, 1, VS_NO))   df_aevs_aggr <- df_aevs %>%   group_by(STUDYID, SITEID, SUBJID, VS_NO) %>%   summarise(MIN_AE_NO = min(AE_NO),             MAX_AE_NO = max(AE_NO),             .groups = \"drop\") %>%   group_by(STUDYID, SITEID, SUBJID) %>%   mutate(MAX_VS_PAT = max(VS_NO)) %>%   ungroup() %>%   # assign AEs that occur after last visit to last AE   mutate(     CUM_AE = ifelse(       VS_NO == MAX_VS_PAT,       MAX_AE_NO,       MIN_AE_NO)     )  df_visit <- df_aevs_aggr %>%   rename(     study_id = \"STUDYID\",     site_number = \"SITEID\",     patnum = \"SUBJID\",     n_ae = \"CUM_AE\",     visit = \"VS_NO\"   )  %>%   select(study_id, site_number, patnum, n_ae, visit)"},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"aggregate-on-days","dir":"Articles","previous_headings":"","what":"Aggregate on Days","title":"Aggregate AEs by Days or Visit?","text":"aggregating days need align reference timelines single patients. day first visit different patient start negative values. First correct values positive normalize AE date values date value first visit patient check get transformation visit aggregations gaps days leading implicitly missing values. simaerep correct automatically throw warning. silence warning can use check df_visit() also called internally functions accepting df_visit argument. proceed usual.","code":"df_vs_min_max <- df_vs %>%   group_by(STUDYID, SUBJID, SITEID) %>%   summarise(min_DY = min(DY, na.rm = TRUE),             max_DY = max(DY, na.rm = TRUE),             .groups = \"drop\")  df_vs_min_max$min_DY[1:25] ##  [1]  -7 -14 -14  -7  -3 -10 -19 -12  -6  -9  -9 -12  -8  -7  -6  -8  -3 -14  -7 ## [20] -14 -19 -12  -9 -21 -28 df_vs_min_max$max_DY[1:25] ##  [1] 309 134  43   1 224 265 100 163  51 103  40  38 125 168  85  92 100 708 119 ## [20]  64  43  51  70   1 225 corr_factor <- abs(min(df_vs_min_max$min_DY))  df_days <- df_ae %>%   # include patients with vs but no AE   right_join(df_vs_min_max, by = c(\"STUDYID\", \"SUBJID\", \"SITEID\")) %>%   # replace DY NULL with max patient DY    group_by(STUDYID, SUBJID, SITEID) %>%   mutate(DY = ifelse(is.na(DY) & ! is.na(EVENT), max(DY, na.rm = TRUE), DY)) %>%   # replace DY for patients with 0 AE with day of maximum visit   mutate(DY = ifelse(is.na(DY) & is.na(EVENT), max_DY, DY)) %>%   # correct timelines   mutate(DY = DY + corr_factor,          min_DY = min_DY + corr_factor,          DY_corr = DY + min_DY) %>%   group_by(STUDYID, SITEID, SUBJID) %>%   arrange(STUDYID, SITEID, SUBJID, DY_corr) %>%   mutate(n_ae = row_number()) %>%   ungroup() %>%   # set AE count to 0 for patients with no AEs   mutate(n_ae = ifelse(is.na(EVENT), 0 , n_ae)) %>%   rename(     study_id = STUDYID,     site_number = SITEID,     patnum = SUBJID,     visit = DY_corr   ) %>%   group_by(study_id, site_number, patnum, visit) %>%   summarise(n_ae = max(n_ae), .groups = \"drop\") stopifnot(n_distinct(df_days$site_number) == n_distinct(df_visit$site_number)) stopifnot(n_distinct(df_days$patnum) == n_distinct(df_visit$patnum))  pat0_days <- df_days %>%   group_by(study_id, site_number, patnum) %>%   filter(max(n_ae) == 0) %>%   pull(patnum) %>%   unique() %>%   sort()  pat0_vs <- df_visit %>%   group_by(study_id, site_number, patnum) %>%   filter(max(n_ae) == 0) %>%   pull(patnum) %>%   unique() %>%   sort()  stopifnot(all(pat0_days == pat0_vs)) df_days ## # A tibble: 3,220 × 5 ##    study_id   site_number patnum   visit  n_ae ##    <chr>      <chr>       <chr>    <dbl> <dbl> ##  1 CO-101-001 001         01001001    43     1 ##  2 CO-101-001 001         01001001    44     2 ##  3 CO-101-001 001         01001001   107     3 ##  4 CO-101-001 001         01001001   124     4 ##  5 CO-101-001 001         01001001   134     5 ##  6 CO-101-001 001         01001001   141     6 ##  7 CO-101-001 001         01001001   156     8 ##  8 CO-101-001 001         01001001   184    10 ##  9 CO-101-001 001         01001001   240    13 ## 10 CO-101-001 001         01001001   241    14 ## # ℹ 3,210 more rows df_site <- site_aggr(df_visit = df_days) ## Warning in exp_implicit_missing_visits(df_visit): implicitly missing visit ## numbers detected and corrected df_days <- simaerep:::check_df_visit(df_days) ## Warning in exp_implicit_missing_visits(df_visit): implicitly missing visit ## numbers detected and corrected df_days ## # A tibble: 57,873 × 5 ##    study_id   site_number patnum   visit  n_ae ##    <chr>      <chr>       <chr>    <dbl> <dbl> ##  1 CO-101-001 001         01001001     5     0 ##  2 CO-101-001 001         01001001     6     0 ##  3 CO-101-001 001         01001001     7     0 ##  4 CO-101-001 001         01001001     8     0 ##  5 CO-101-001 001         01001001     9     0 ##  6 CO-101-001 001         01001001    10     0 ##  7 CO-101-001 001         01001001    11     0 ##  8 CO-101-001 001         01001001    12     0 ##  9 CO-101-001 001         01001001    13     0 ## 10 CO-101-001 001         01001001    14     0 ## # ℹ 57,863 more rows df_sim_sites <- sim_sites(df_site, df_visit = df_days)  df_eval_days <- eval_sites(df_sim_sites)  simaerep::plot_study(df_visit = df_days, df_site = df_site, df_eval = df_eval_days, study = unique(df_days$study_id))"},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"aggregate-on-visits","dir":"Articles","previous_headings":"","what":"Aggregate on Visits","title":"Aggregate AEs by Days or Visit?","text":"results compare aggregating visits?","code":"df_site <- site_aggr(df_visit)   df_sim_sites <- sim_sites(df_site, df_visit)  df_eval_vs <- eval_sites(df_sim_sites)  simaerep::plot_study(df_visit, df_site, df_eval_vs, study = unique(df_visit$study_id))"},{"path":"https://openpharma.github.io/simaerep/articles/visits_or_days.html","id":"compare","dir":"Articles","previous_headings":"","what":"Compare","title":"Aggregate AEs by Days or Visit?","text":"observe difference results. largely attributable difference cut-visit_med75 points influences set patients included. case observe high rank correlation low p-value results greater 0. inclusion/exclusion patients analysis site ongoing trial can shift results, recommend aggregate actually occurred visits included patients equal amount opportunities report AEs.","code":"df_comp <- df_eval_days %>%   select(     site_number,     prob_low_prob_ur_days = prob_low_prob_ur,     n_pat_with_med75_days = n_pat_with_med75   )  %>%   left_join(     select(       df_eval_vs,       site_number,       prob_low_prob_ur_vs = prob_low_prob_ur,       n_pat_with_med75_vs = n_pat_with_med75       ),     by = \"site_number\"   ) %>%   filter(prob_low_prob_ur_days > 0 | prob_low_prob_ur_vs > 0) %>%   select(site_number, starts_with(\"prob\"), starts_with(\"n_pat\")) %>%   arrange(desc(prob_low_prob_ur_vs))  df_comp %>%   knitr::kable() cor.test(   df_comp$prob_low_prob_ur_vs,   df_comp$prob_low_prob_ur_days,   method = \"spearman\" ) ## Warning in cor.test.default(df_comp$prob_low_prob_ur_vs, ## df_comp$prob_low_prob_ur_days, : Cannot compute exact p-value with ties ##  ##  Spearman's rank correlation rho ##  ## data:  df_comp$prob_low_prob_ur_vs and df_comp$prob_low_prob_ur_days ## S = 114.71, p-value = 0.009797 ## alternative hypothesis: true rho is not equal to 0 ## sample estimates: ##       rho  ## 0.6848696"},{"path":"https://openpharma.github.io/simaerep/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Bjoern Koneswarakantha. Author, maintainer, copyright holder. F. Hoffmann-La Roche Ltd. Copyright holder.","code":""},{"path":"https://openpharma.github.io/simaerep/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Koneswarakantha B (2024). simaerep: Find Clinical Trial Sites -Reporting Adverse Events. R package version 0.5.0.900, https://github.com/openpharma/simaerep, https://openpharma.github.io/simaerep/.","code":"@Manual{,   title = {simaerep: Find Clinical Trial Sites Under-Reporting Adverse Events},   author = {Bjoern Koneswarakantha},   year = {2024},   note = {R package version 0.5.0.900, https://github.com/openpharma/simaerep},   url = {https://openpharma.github.io/simaerep/}, }"},{"path":"https://openpharma.github.io/simaerep/index.html","id":"simaerep-","dir":"","previous_headings":"","what":"Find Clinical Trial Sites Under-Reporting Adverse Events","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"Simulate adverse event reporting clinical trials goal detecting -reporting sites. Monitoring Adverse Event (AE) reporting clinical trials important patient safety. use bootstrap-based simulation assign AE -reporting probability site clinical trial. method inspired ‘infer’ R package Allen Downey’s blog article: “one test!”.","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/index.html","id":"cran","dir":"","previous_headings":"Installation","what":"CRAN","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"","code":"install.packages(\"simaerep\")"},{"path":"https://openpharma.github.io/simaerep/index.html","id":"development-version","dir":"","previous_headings":"Installation","what":"Development Version","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"can install development version GitHub :","code":"# install.packages(\"devtools\") devtools::install_github(\"openpharma/simaerep\")"},{"path":"https://openpharma.github.io/simaerep/index.html","id":"impala","dir":"","previous_headings":"","what":"IMPALA","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"simaerep published workproduct Inter-Company Quality Analytics (IMPALA) consortium. IMPALA aims engage Health Authorities inspectors defining guiding principles use advanced analytics complement, enhance accelerate current QA practices. simaerep initially developed Roche currently evaluated companies across industry complement quality assurance activities (see testimonials).","code":""},{"path":"https://openpharma.github.io/simaerep/index.html","id":"publication","dir":"","previous_headings":"","what":"Publication","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"Koneswarakantha, B., Barmaz, Y., Ménard, T. et al. Follow-Use Advanced Analytics Clinical Quality Assurance: Bootstrap Resampling Enhance Detection Adverse Event -Reporting. Drug Saf (2020). https://doi.org/10.1007/s40264-020-01011-5","code":""},{"path":"https://openpharma.github.io/simaerep/index.html","id":"vignettes-articles-tutorials","dir":"","previous_headings":"","what":"Vignettes/ Articles/ Tutorials","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"video presentation 15 min Introduction Usability Limits Check Poisson Test Applicability SAS Files Adjusted Evaluation Point visit_med75 Aggregate AEs Days Visit? Portfolio Performance","code":""},{"path":"https://openpharma.github.io/simaerep/index.html","id":"validation-report","dir":"","previous_headings":"","what":"Validation Report","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"Download pdf release section generated using thevalidatoR.","code":""},{"path":"https://openpharma.github.io/simaerep/index.html","id":"application","dir":"","previous_headings":"","what":"Application","title":"Find Clinical Trial Sites Under-Reporting Adverse Events","text":"Left panel shows mean AE reporting per site (lightblue darkblue lines) mean AE reporting entire study (golden line). Single sites plotted descending order AE -reporting probability right panel grey lines denote cumulative AE count single patients. Grey dots left panel plot indicate sites picked single plotting. AE -reporting probability dark blue lines crossed threshold 95%. Numbers upper left corner indicate ratio patients used analysis total number patients. Patients study long enough reach evaluation point (visit_med75, see introduction) ignored.","code":"suppressPackageStartupMessages(library(simaerep)) suppressPackageStartupMessages(library(tidyverse)) suppressPackageStartupMessages(library(knitr))  set.seed(1)  df_visit <- sim_test_data_study(   n_pat = 1000, # number of patients in study   n_sites = 100, # number of sites in study   frac_site_with_ur = 0.05, # fraction of sites under-reporting   ur_rate = 0.4, # rate of under-reporting   ae_per_visit_mean = 0.5 # mean AE per patient visit )  df_visit$study_id <- \"A\"  df_visit %>%   select(study_id, site_number, patnum, visit, n_ae) %>%   head(25) %>%   knitr::kable() aerep <- simaerep(df_visit)  plot(aerep, study = \"A\")"},{"path":"https://openpharma.github.io/simaerep/reference/aggr_duplicated_visits.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregate duplicated visits. — aggr_duplicated_visits","title":"Aggregate duplicated visits. — aggr_duplicated_visits","text":"Internal function called check_df_visit().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/aggr_duplicated_visits.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregate duplicated visits. — aggr_duplicated_visits","text":"","code":"aggr_duplicated_visits(df_visit)"},{"path":"https://openpharma.github.io/simaerep/reference/aggr_duplicated_visits.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregate duplicated visits. — aggr_duplicated_visits","text":"df_visit dataframe columns: study_id, site_number, patnum, visit, n_ae","code":""},{"path":"https://openpharma.github.io/simaerep/reference/aggr_duplicated_visits.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Aggregate duplicated visits. — aggr_duplicated_visits","text":"df_visit corrected","code":""},{"path":"https://openpharma.github.io/simaerep/reference/check_df_visit.html","id":null,"dir":"Reference","previous_headings":"","what":"Integrity check for df_visit. — check_df_visit","title":"Integrity check for df_visit. — check_df_visit","text":"Internal function used functions accept df_visit parameter. Checks NA columns, numeric visits AEs, implicitly missing duplicated visits.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/check_df_visit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Integrity check for df_visit. — check_df_visit","text":"","code":"check_df_visit(df_visit)"},{"path":"https://openpharma.github.io/simaerep/reference/check_df_visit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Integrity check for df_visit. — check_df_visit","text":"df_visit dataframe columns: study_id, site_number, patnum, visit, n_ae","code":""},{"path":"https://openpharma.github.io/simaerep/reference/check_df_visit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Integrity check for df_visit. — check_df_visit","text":"corrected df_visit","code":""},{"path":"https://openpharma.github.io/simaerep/reference/check_df_visit.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Integrity check for df_visit. — check_df_visit","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 )  df_visit$study_id <- \"A\"  df_visit_filt <- df_visit %>%   dplyr::filter(visit != 3)  df_visit_corr <- check_df_visit(df_visit_filt) #> Warning: implicitly missing visit numbers detected and corrected 3 %in% df_visit_corr$visit #> [1] TRUE nrow(df_visit_corr) == nrow(df_visit) #> [1] TRUE  df_visit_corr <- check_df_visit(dplyr::bind_rows(df_visit, df_visit)) #> Warning: Duplicated visit entries for some patients detected and corrected. nrow(df_visit_corr) == nrow(df_visit) #> [1] TRUE"},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites.html","id":null,"dir":"Reference","previous_headings":"","what":"Evaluate sites. — eval_sites","title":"Evaluate sites. — eval_sites","text":"Correct -reporting probabilities using  p.adjust.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Evaluate sites. — eval_sites","text":"","code":"eval_sites(df_sim_sites, method = \"BH\", under_only = TRUE, ...)"},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Evaluate sites. — eval_sites","text":"df_sim_sites dataframe generated sim_sites method character, passed stats::p.adjust(), NULL eval_sites_deprecated() used instead, Default = \"BH\" under_only compute -reporting probabilities , default = TRUE check_df_visit(), computationally expensive large data sets. Default: TRUE ... use pass r_sim_sites parameter eval_sites_deprecated()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Evaluate sites. — eval_sites","text":"dataframe following columns: study_id study identification site_number site identification visit_med75 median(max(visit)) * 0.75 mean_ae_site_med75 mean AE visit_med75 site level mean_ae_study_med75 mean AE visit_med75 study level pval p-value returned poisson.test prob_low bootstrapped probability mean_ae_site_med75 lower pval_adj adjusted p-values prob_low_adj adjusted bootstrapped probability mean_ae_site_med75 lower pval_prob_ur probability -reporting 1 - pval_adj, poisson.test (use benchmark) prob_low_prob_ur probability -reporting 1 - prob_low_adj, bootstrapped (use)","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Evaluate sites. — eval_sites","text":"","code":"df_visit <- sim_test_data_study(n_pat = 100, n_sites = 5,     frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit, r = 100)  df_eval <- eval_sites(df_sim_sites) df_eval #> # A tibble: 5 × 14 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0001          20               16          15               2.62 #> 2 A        S0002          20               16          16               2.75 #> 3 A        S0003          20               19          15               6.37 #> 4 A        S0004          20               16          16               7.81 #> 5 A        S0005          20               17          16               8.59 #> # ℹ 8 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   pval <dbl>, prob_low <dbl>, pval_adj <dbl>, pval_prob_ur <dbl>, #> #   prob_low_adj <dbl>, prob_low_prob_ur <dbl>  # use deprecated method  ------- df_eval <- eval_sites(df_sim_sites, method = NULL, r_sim_sites = 100) #> Warning: using deprecated method for probability adjustment df_eval #> # A tibble: 5 × 19 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0002          20               16          16               2.75 #> 2 A        S0001          20               16          15               2.62 #> 3 A        S0003          20               19          15               6.37 #> 4 A        S0004          20               16          16               7.81 #> 5 A        S0005          20               17          16               8.59 #> # ℹ 13 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   pval <dbl>, prob_low <dbl>, n_site <int>, pval_n_detected <int>, #> #   pval_fp <dbl>, pval_p_vs_fp_ratio <dbl>, pval_prob_ur <dbl>, #> #   prob_low_n_detected <int>, prob_low_fp <dbl>, prob_low_p_vs_fp_ratio <dbl>, #> #   prob_low_prob_ur <dbl>"},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":null,"dir":"Reference","previous_headings":"","what":"Evaluate sites. — eval_sites_deprecated","title":"Evaluate sites. — eval_sites_deprecated","text":"Correct -reporting probabilities expected number false positives (fp). deprecated favor conventional methods available via p.adjust.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Evaluate sites. — eval_sites_deprecated","text":"","code":"eval_sites_deprecated(df_sim_sites, r_sim_sites)"},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Evaluate sites. — eval_sites_deprecated","text":"df_sim_sites dataframe generated sim_sites() r_sim_sites integer, number repeats bootstrap resampling site simulation, needed zero probability correction fp calculation, Default: 1000","code":""},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Evaluate sites. — eval_sites_deprecated","text":"dataframe following columns: study_id study identification site_number site identification visit_med75 median(max(visit)) * 0.75 mean_ae_site_med75 mean AE visit_med75 site level mean_ae_study_med75 mean AE visit_med75 study level pval p-value returned poisson.test prob_low bootstrapped probability mean_ae_site_med75 lower n_site number study sites pval_n_detected sites p-value lower pval_fp expected number fp, pval * n_site pval_p_vs_fp_ratio odds -reporting p/fp, poisson.test (use benchmark) pval_prob_ur probability -reporting 1 - fp/p, poisson.test (use benchmark) prob_low_n_detected sites bootstrapped probability lower prob_low_fp expected number fp, prob_lower * n_site prob_low_p_vs_fp_ratio odds -reporting p/fp, bootstrapped (use) prob_low_prob_ur probability -reporting 1 - fp/p, bootstrapped (use)","code":""},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Evaluate sites. — eval_sites_deprecated","text":"chance expected number false positives (fp) greater total number positives (p) set p_vs_fp_ratio = 1 prob_ur = 0.","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/eval_sites_deprecated.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Evaluate sites. — eval_sites_deprecated","text":"","code":"df_visit <- sim_test_data_study(n_pat = 100, n_sites = 5,     frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit, r = 100)  df_eval <- eval_sites_deprecated(df_sim_sites, r_sim_sites = 100) df_eval #> # A tibble: 5 × 19 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0002          20               17          18               3.94 #> 2 A        S0001          20               18          16               3.39 #> 3 A        S0003          20               18          17              10.2  #> 4 A        S0004          20               18          14               7.28 #> 5 A        S0005          20               17          15               7.29 #> # ℹ 13 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   pval <dbl>, prob_low <dbl>, n_site <int>, pval_n_detected <int>, #> #   pval_fp <dbl>, pval_p_vs_fp_ratio <dbl>, pval_prob_ur <dbl>, #> #   prob_low_n_detected <int>, prob_low_fp <dbl>, prob_low_p_vs_fp_ratio <dbl>, #> #   prob_low_prob_ur <dbl>"},{"path":"https://openpharma.github.io/simaerep/reference/exp_implicit_missing_visits.html","id":null,"dir":"Reference","previous_headings":"","what":"Expose implicitly missing visits. — exp_implicit_missing_visits","title":"Expose implicitly missing visits. — exp_implicit_missing_visits","text":"Internal function called check_df_visit().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/exp_implicit_missing_visits.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expose implicitly missing visits. — exp_implicit_missing_visits","text":"","code":"exp_implicit_missing_visits(df_visit)"},{"path":"https://openpharma.github.io/simaerep/reference/exp_implicit_missing_visits.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Expose implicitly missing visits. — exp_implicit_missing_visits","text":"df_visit dataframe columns: study_id, site_number, patnum, visit, n_ae","code":""},{"path":"https://openpharma.github.io/simaerep/reference/exp_implicit_missing_visits.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Expose implicitly missing visits. — exp_implicit_missing_visits","text":"df_visit corrected","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_config.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Portfolio Configuration — get_config","title":"Get Portfolio Configuration — get_config","text":"Get Portfolio configuration dataframe aggregated patient level max_ae max_visit. filter studies sites patients anonymize IDs. Portfolio configuration can used sim_test_data_portfolio generate data artificial portfolio.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_config.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Portfolio Configuration — get_config","text":"","code":"get_config(   df_site,   min_pat_per_study = 100,   min_sites_per_study = 10,   anonymize = TRUE,   pad_width = 4 )"},{"path":"https://openpharma.github.io/simaerep/reference/get_config.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Portfolio Configuration — get_config","text":"df_site dataframe aggregated patient level max_ae max_visit min_pat_per_study minimum number patients per study, Default: 100 min_sites_per_study minimum number sites per study, Default: 10 anonymize logical, Default: TRUE pad_width padding width newly created IDs, Default: 4","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_config.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Portfolio Configuration — get_config","text":"dataframe following columns: study_id study identification ae_per_visit_mean mean AE per visit per study site_number site max_visit_sd standard deviation maximum patient visits per site max_visit_mean mean maximum patient visits per site n_pat number patients","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/get_config.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Portfolio Configuration — get_config","text":"","code":"# \\donttest{ df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site_max <- df_visit %>%   dplyr::group_by(study_id, site_number, patnum) %>%   dplyr::summarise(max_visit = max(visit),             max_ae = max(n_ae),             .groups = \"drop\")  df_config <- get_config(df_site_max)  df_config #> # A tibble: 20 × 6 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean n_pat #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <int> #>  1 0001                 0.400 0001                4.61           18.8    10 #>  2 0001                 0.400 0002                3.78           19.4    10 #>  3 0001                 0.400 0003                3.28           20.1    10 #>  4 0001                 0.400 0004                4.84           19.4    10 #>  5 0001                 0.400 0005                4.30           21.6    10 #>  6 0001                 0.400 0006                4.18           19.1    10 #>  7 0001                 0.400 0007                4.06           17.5    10 #>  8 0001                 0.400 0008                4.10           20.8    10 #>  9 0001                 0.400 0009                4.74           18.5    10 #> 10 0001                 0.400 0010                4.30           18.6    10 #> 11 0002                 0.487 0001                3.10           20.6    10 #> 12 0002                 0.487 0002                2.75           20      10 #> 13 0002                 0.487 0003                3.71           19.2    10 #> 14 0002                 0.487 0004                5.34           20.4    10 #> 15 0002                 0.487 0005                3.84           18.5    10 #> 16 0002                 0.487 0006                4.35           19.4    10 #> 17 0002                 0.487 0007                5.48           19.4    10 #> 18 0002                 0.487 0008                3.62           22      10 #> 19 0002                 0.487 0009                4.00           17.7    10 #> 20 0002                 0.487 0010                2.60           19.1    10  df_portf <- sim_test_data_portfolio(df_config)  df_portf #> # A tibble: 3,792 × 8 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean patnum #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <chr>  #>  1 0001                 0.400 0001                4.61           18.8 0001   #>  2 0001                 0.400 0001                4.61           18.8 0001   #>  3 0001                 0.400 0001                4.61           18.8 0001   #>  4 0001                 0.400 0001                4.61           18.8 0001   #>  5 0001                 0.400 0001                4.61           18.8 0001   #>  6 0001                 0.400 0001                4.61           18.8 0001   #>  7 0001                 0.400 0001                4.61           18.8 0001   #>  8 0001                 0.400 0001                4.61           18.8 0001   #>  9 0001                 0.400 0001                4.61           18.8 0001   #> 10 0001                 0.400 0001                4.61           18.8 0001   #> # ℹ 3,782 more rows #> # ℹ 2 more variables: visit <int>, n_ae <int>  df_scen <- sim_ur_scenarios(df_portf,                             extra_ur_sites = 2,                             ur_rate = c(0.5, 1)) #> aggregating site level #> prepping for simulation #> generating scenarios #> getting under-reporting stats #> evaluating stats   df_scen #> # A tibble: 140 × 14 #>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat #>    <chr>    <chr>                <dbl>            <dbl>   <dbl> <int> #>  1 0001     0001                     0           0          0      10 #>  2 0001     0001                     0           0.0989     0.5    10 #>  3 0001     0001                     0           0.0989     1      10 #>  4 0001     0001                     1           0.199      0.5    10 #>  5 0001     0001                     1           0.199      1      10 #>  6 0001     0001                     2           0.299      0.5    10 #>  7 0001     0001                     2           0.299      1      10 #>  8 0001     0002                     0           0          0      10 #>  9 0001     0002                     0           0.107      0.5    10 #> 10 0001     0002                     0           0.107      1      10 #> # ℹ 130 more rows #> # ℹ 8 more variables: n_pat_with_med75 <dbl>, visit_med75 <dbl>, #> #   mean_ae_site_med75 <dbl>, mean_ae_study_med75 <dbl>, #> #   n_pat_with_med75_study <int>, prob_low <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>  df_perf <- get_portf_perf(df_scen)  df_perf #> # A tibble: 27 × 5 #>      fpr thresh extra_ur_sites ur_rate   tpr #>    <dbl>  <dbl>          <dbl>   <dbl> <dbl> #>  1 0.001   0.53              0     0     0.2 #>  2 0.001   0.53              1     0     0.2 #>  3 0.001   0.53              2     0     0.2 #>  4 0.001   0.53              0     0.5   1   #>  5 0.001   0.53              1     0.5   1   #>  6 0.001   0.53              2     0.5   1   #>  7 0.001   0.53              0     1     1   #>  8 0.001   0.53              1     1     1   #>  9 0.001   0.53              2     1     1   #> 10 0.01    0.53              0     0     0.2 #> # ℹ 17 more rows # }"},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":null,"dir":"Reference","previous_headings":"","what":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"Test function, test applicability poisson test, calculating bootstrapped probability obtaining specific p-value lower, use combination sim_studies().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"","code":"get_ecd_values(df_sim_studies, df_sim_sites, val_str)"},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"df_sim_studies dataframe, generated sim_studies() df_sim_sites dataframe, generated sim_sites() val_str c(\"prob_low\",\"pval\")","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"dataframe following columns: study_id study identification site_number site identification visit_med75 median(max(visit)) * 0.75 mean_ae_site_med75 mean AE visit_med75 site level mean_ae_study_med75 mean AE visit_med75 study level pval/prob_low p-value returned poisson.test pval/prob_low_ecd p-value returned poisson.test","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"trains ecdf function studies based results sim_studies()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_ecd_values.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get empirical cumulative distribution values of pval or prob_lower — get_ecd_values","text":"","code":"df_visit <- sim_test_data_study(n_pat = 100, n_sites = 5,     frac_site_with_ur = 0.4, ur_rate = 0.3)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit, r = 100)  df_sim_studies <- sim_studies(   df_site = df_site,   df_visit = df_visit,   r = 3,   parallel = FALSE,   poisson_test = TRUE,   prob_lower = TRUE )  get_ecd_values(df_sim_studies, df_sim_sites, \"prob_low\") #> # A tibble: 5 × 11 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0001          20               18          17               5.89 #> 2 A        S0002          20               18          15               5.5  #> 3 A        S0003          20               17          16               8.53 #> 4 A        S0004          20               20          15               6.4  #> 5 A        S0005          20               16          16               8.38 #> # ℹ 5 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   pval <dbl>, prob_low <dbl>, prob_low_ecd <dbl> get_ecd_values(df_sim_studies, df_sim_sites, \"pval\") #> # A tibble: 5 × 11 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0001          20               18          17               5.89 #> 2 A        S0002          20               18          15               5.5  #> 3 A        S0003          20               17          16               8.53 #> 4 A        S0004          20               20          15               6.4  #> 5 A        S0005          20               16          16               8.38 #> # ℹ 5 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   pval <dbl>, prob_low <dbl>, pval_ecd <dbl>"},{"path":"https://openpharma.github.io/simaerep/reference/get_legend.html","id":null,"dir":"Reference","previous_headings":"","what":"replace cowplot::get_legend, to silence warning Multiple components found; returning the first one. To return all, use `return_all = TRUE — get_legend","title":"replace cowplot::get_legend, to silence warning Multiple components found; returning the first one. To return all, use `return_all = TRUE — get_legend","text":"replace cowplot::get_legend, silence warning Multiple components found; returning first one. return , use `return_all = TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_legend.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"replace cowplot::get_legend, to silence warning Multiple components found; returning the first one. To return all, use `return_all = TRUE — get_legend","text":"","code":"get_legend(p)"},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":null,"dir":"Reference","previous_headings":"","what":"Configure study patient pool by site parameters. — get_pat_pool_config","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"Internal Function used sim_sites()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"","code":"get_pat_pool_config(df_visit, df_site, min_n_pat_with_med75 = 1)"},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"df_visit dataframe df_site dataframe created site_aggr() min_n_pat_with_med75 minimum number patients visit_med_75 simulation, Default: 1","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"simulating study need configure study patient pool match configuration sites","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_pat_pool_config.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Configure study patient pool by site parameters. — get_pat_pool_config","text":"","code":"df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 5,                                       frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 1000, n_sites = 3,                                       frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site <- site_aggr(df_visit)  df_config <- get_pat_pool_config(df_visit, df_site)  df_config #> # A tibble: 8 × 6 #>   study_id site_number visit_med75 n_pat_with_med75 n_pat_study pat_pool #>   <chr>    <chr>             <dbl>            <dbl>       <dbl> <list>   #> 1 A        S0001                15               19          71 <tibble> #> 2 A        S0002                15               18          72 <tibble> #> 3 A        S0003                16               17          66 <tibble> #> 4 A        S0004                15               20          70 <tibble> #> 5 A        S0005                16               16          67 <tibble> #> 6 B        S0001                15              302         602 <tibble> #> 7 B        S0002                15              301         603 <tibble> #> 8 B        S0003                15              301         603 <tibble>"},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":null,"dir":"Reference","previous_headings":"","what":"Get Portfolio Performance — get_portf_perf","title":"Get Portfolio Performance — get_portf_perf","text":"Performance true positive rate (tpr tp/P) basis desired false positive rates (fpr fp/P).","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get Portfolio Performance — get_portf_perf","text":"","code":"get_portf_perf(df_scen, stat = \"prob_low_prob_ur\", fpr = c(0.001, 0.01, 0.05))"},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get Portfolio Performance — get_portf_perf","text":"df_scen dataframe returned sim_ur_scenarios stat character denoting column name -reporting statistic, Default: 'prob_low_prob_ur' fpr numeric vector specifying false positive rates, Default: c(0.001, 0.01, 0.05)","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get Portfolio Performance — get_portf_perf","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Get Portfolio Performance — get_portf_perf","text":"DETAILS","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/get_portf_perf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get Portfolio Performance — get_portf_perf","text":"","code":"# \\donttest{ df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site_max <- df_visit %>%   dplyr::group_by(study_id, site_number, patnum) %>%   dplyr::summarise(max_visit = max(visit),                    max_ae = max(n_ae),                    .groups = \"drop\")  df_config <- get_config(df_site_max)  df_config #> # A tibble: 20 × 6 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean n_pat #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <int> #>  1 0001                 0.373 0001                3.79           19.2    10 #>  2 0001                 0.373 0002                3.07           19.9    10 #>  3 0001                 0.373 0003                1.91           17.9    10 #>  4 0001                 0.373 0004                4.88           20      10 #>  5 0001                 0.373 0005                3.43           19      10 #>  6 0001                 0.373 0006                3.77           21.3    10 #>  7 0001                 0.373 0007                3.45           18.9    10 #>  8 0001                 0.373 0008                2.81           17.1    10 #>  9 0001                 0.373 0009                5.27           17.4    10 #> 10 0001                 0.373 0010                3.77           19.3    10 #> 11 0002                 0.507 0001                3.57           18.5    10 #> 12 0002                 0.507 0002                5.10           19.6    10 #> 13 0002                 0.507 0003                4.44           19.8    10 #> 14 0002                 0.507 0004                3.38           19.1    10 #> 15 0002                 0.507 0005                2.72           21.4    10 #> 16 0002                 0.507 0006                2.46           19.4    10 #> 17 0002                 0.507 0007                5.29           19.3    10 #> 18 0002                 0.507 0008                4.17           19.5    10 #> 19 0002                 0.507 0009                3.68           18.2    10 #> 20 0002                 0.507 0010                2.12           20.5    10  df_portf <- sim_test_data_portfolio(df_config)  df_portf #> # A tibble: 3,896 × 8 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean patnum #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <chr>  #>  1 0001                 0.373 0001                3.79           19.2 0001   #>  2 0001                 0.373 0001                3.79           19.2 0001   #>  3 0001                 0.373 0001                3.79           19.2 0001   #>  4 0001                 0.373 0001                3.79           19.2 0001   #>  5 0001                 0.373 0001                3.79           19.2 0001   #>  6 0001                 0.373 0001                3.79           19.2 0001   #>  7 0001                 0.373 0001                3.79           19.2 0001   #>  8 0001                 0.373 0001                3.79           19.2 0001   #>  9 0001                 0.373 0001                3.79           19.2 0001   #> 10 0001                 0.373 0001                3.79           19.2 0001   #> # ℹ 3,886 more rows #> # ℹ 2 more variables: visit <int>, n_ae <int>  df_scen <- sim_ur_scenarios(df_portf,                             extra_ur_sites = 2,                             ur_rate = c(0.5, 1)) #> aggregating site level #> prepping for simulation #> generating scenarios #> getting under-reporting stats #> evaluating stats   df_scen #> # A tibble: 140 × 14 #>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat #>    <chr>    <chr>                <dbl>            <dbl>   <dbl> <int> #>  1 0001     0001                     0            0         0      10 #>  2 0001     0001                     0            0.111     0.5    10 #>  3 0001     0001                     0            0.111     1      10 #>  4 0001     0001                     1            0.211     0.5    10 #>  5 0001     0001                     1            0.211     1      10 #>  6 0001     0001                     2            0.311     0.5    10 #>  7 0001     0001                     2            0.311     1      10 #>  8 0001     0002                     0            0         0      10 #>  9 0001     0002                     0            0.120     0.5    10 #> 10 0001     0002                     0            0.120     1      10 #> # ℹ 130 more rows #> # ℹ 8 more variables: n_pat_with_med75 <dbl>, visit_med75 <dbl>, #> #   mean_ae_site_med75 <dbl>, mean_ae_study_med75 <dbl>, #> #   n_pat_with_med75_study <int>, prob_low <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>  df_perf <- get_portf_perf(df_scen)  df_perf #> # A tibble: 27 × 5 #>      fpr thresh extra_ur_sites ur_rate   tpr #>    <dbl>  <dbl>          <dbl>   <dbl> <dbl> #>  1 0.001  0.872              0     0    0.05 #>  2 0.001  0.872              1     0    0.05 #>  3 0.001  0.872              2     0    0.05 #>  4 0.001  0.872              0     0.5  1    #>  5 0.001  0.872              1     0.5  0.95 #>  6 0.001  0.872              2     0.5  0.95 #>  7 0.001  0.872              0     1    1    #>  8 0.001  0.872              1     1    1    #>  9 0.001  0.872              2     1    1    #> 10 0.01   0.799              0     0    0.05 #> # ℹ 17 more rows # }"},{"path":"https://openpharma.github.io/simaerep/reference/get_site_mean_ae_dev.html","id":null,"dir":"Reference","previous_headings":"","what":"Get site mean ae development. — get_site_mean_ae_dev","title":"Get site mean ae development. — get_site_mean_ae_dev","text":"Internal function used site_aggr(), plot_visit_med75(), returns mean AE development visit 0 visit_med75.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_site_mean_ae_dev.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get site mean ae development. — get_site_mean_ae_dev","text":"","code":"get_site_mean_ae_dev(df_visit, df_pat, df_site)"},{"path":"https://openpharma.github.io/simaerep/reference/get_site_mean_ae_dev.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get site mean ae development. — get_site_mean_ae_dev","text":"df_visit dataframe df_pat dataframe returned pat_aggr() df_site dataframe returned site_aggr()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_site_mean_ae_dev.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get site mean ae development. — get_site_mean_ae_dev","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_visit_med75.html","id":null,"dir":"Reference","previous_headings":"","what":"Get visit_med75. — get_visit_med75","title":"Get visit_med75. — get_visit_med75","text":"Internal function used site_aggr().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_visit_med75.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get visit_med75. — get_visit_med75","text":"","code":"get_visit_med75(df_pat, method = \"med75_adj\", min_pat_pool = 0.2)"},{"path":"https://openpharma.github.io/simaerep/reference/get_visit_med75.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get visit_med75. — get_visit_med75","text":"df_pat dataframe returned pat_aggr() method character, one c(\"med75\", \"med75_adj\") defining method defining evaluation point visit_med75 (see details), Default: \"med75_adj\" min_pat_pool double, minimum ratio available patients available sampling. Determines maximum visit_med75 value see Details. Default: 0.2","code":""},{"path":"https://openpharma.github.io/simaerep/reference/get_visit_med75.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get visit_med75. — get_visit_med75","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_orivisit.html","id":null,"dir":"Reference","previous_headings":"","what":"is orivisit class — is_orivisit","title":"is orivisit class — is_orivisit","text":"internal function","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_orivisit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is orivisit class — is_orivisit","text":"","code":"is_orivisit(x)"},{"path":"https://openpharma.github.io/simaerep/reference/is_orivisit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is orivisit class — is_orivisit","text":"x object","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_orivisit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"is orivisit class — is_orivisit","text":"logical","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_simaerep.html","id":null,"dir":"Reference","previous_headings":"","what":"is simaerep class — is_simaerep","title":"is simaerep class — is_simaerep","text":"internal function","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_simaerep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"is simaerep class — is_simaerep","text":"","code":"is_simaerep(x)"},{"path":"https://openpharma.github.io/simaerep/reference/is_simaerep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"is simaerep class — is_simaerep","text":"x object","code":""},{"path":"https://openpharma.github.io/simaerep/reference/is_simaerep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"is simaerep class — is_simaerep","text":"logical","code":""},{"path":"https://openpharma.github.io/simaerep/reference/max_rank.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate Max Rank — max_rank","title":"Calculate Max Rank — max_rank","text":"like rank() ties.method = \"max\", works tbl objects","code":""},{"path":"https://openpharma.github.io/simaerep/reference/max_rank.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate Max Rank — max_rank","text":"","code":"max_rank(df, col, col_new)"},{"path":"https://openpharma.github.io/simaerep/reference/max_rank.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate Max Rank — max_rank","text":"df dataframe col character column name rank y col_new character column name rankings","code":""},{"path":"https://openpharma.github.io/simaerep/reference/max_rank.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate Max Rank — max_rank","text":"needed hochberg p value adjustment. need assign higher rank multiple sites p value","code":""},{"path":"https://openpharma.github.io/simaerep/reference/max_rank.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate Max Rank — max_rank","text":"","code":"df <- tibble::tibble(s = c(1, 2, 2, 2, 5, 10)) %>%  dplyr::mutate(    rank = rank(s, ties.method = \"max\")  )  df %>%  max_rank(\"s\", \"max_rank\") #> # A tibble: 6 × 3 #>       s  rank max_rank #>   <dbl> <int>    <int> #> 1     1     1        1 #> 2     2     4        4 #> 3     2     4        4 #> 4     2     4        4 #> 5     5     5        5 #> 6    10     6        6 # \\donttest{ # Database con <- DBI::dbConnect(duckdb::duckdb(), dbdir = \":memory:\")  dplyr::copy_to(con, df, \"df\") max_rank(dplyr::tbl(con, \"df\"), \"s\", \"max_rank\") #> # Source:   SQL [6 x 3] #> # Database: DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] #>       s  rank max_rank #>   <dbl> <int>    <dbl> #> 1    10     6        6 #> 2     2     4        4 #> 3     2     4        4 #> 4     2     4        4 #> 5     1     1        1 #> 6     5     5        5  DBI::dbDisconnect(con) # }"},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":null,"dir":"Reference","previous_headings":"","what":"create orivisit object — orivisit","title":"create orivisit object — orivisit","text":"Internal S3 object, stores lazy reference original visit data.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"create orivisit object — orivisit","text":"","code":"orivisit(df_visit, call = NULL, env = parent.frame())"},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"create orivisit object — orivisit","text":"df_visit dataframe original visit data call optional, provide call, Default: NULL env optional, provide environment original visit data, Default: parent.frame()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"create orivisit object — orivisit","text":"orivisit object","code":""},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"create orivisit object — orivisit","text":"Saves variable name original visit data, checks whether can retrieved parent environment stores summary. Original data can retrieved using .data.frame(x).","code":""},{"path":"https://openpharma.github.io/simaerep/reference/orivisit.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"create orivisit object — orivisit","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 )  df_visit$study_id <- \"A\"  visit <- orivisit(df_visit)  object.size(df_visit) #> 125288 bytes object.size(visit) #> 2288 bytes  as.data.frame(visit) #> # A tibble: 1,956 × 9 #>    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit #>    <chr>   <chr>       <lgl>          <dbl>        <dbl>             <dbl> <int> #>  1 P000001 S0001       TRUE              20            4               0.2     1 #>  2 P000001 S0001       TRUE              20            4               0.2     2 #>  3 P000001 S0001       TRUE              20            4               0.2     3 #>  4 P000001 S0001       TRUE              20            4               0.2     4 #>  5 P000001 S0001       TRUE              20            4               0.2     5 #>  6 P000001 S0001       TRUE              20            4               0.2     6 #>  7 P000001 S0001       TRUE              20            4               0.2     7 #>  8 P000001 S0001       TRUE              20            4               0.2     8 #>  9 P000001 S0001       TRUE              20            4               0.2     9 #> 10 P000001 S0001       TRUE              20            4               0.2    10 #> # ℹ 1,946 more rows #> # ℹ 2 more variables: n_ae <int>, study_id <chr>"},{"path":"https://openpharma.github.io/simaerep/reference/p_adjust_bh_inframe.html","id":null,"dir":"Reference","previous_headings":"","what":"benjamini hochberg p value correction using table operations — p_adjust_bh_inframe","title":"benjamini hochberg p value correction using table operations — p_adjust_bh_inframe","text":"benjamini hochberg p value correction using table operations","code":""},{"path":"https://openpharma.github.io/simaerep/reference/p_adjust_bh_inframe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"benjamini hochberg p value correction using table operations — p_adjust_bh_inframe","text":"","code":"p_adjust_bh_inframe(df_eval, col, suffix)"},{"path":"https://openpharma.github.io/simaerep/reference/pat_aggr.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregate visit to patient level. — pat_aggr","title":"Aggregate visit to patient level. — pat_aggr","text":"Internal function used site_aggr() plot_visit_med75(), adds maximum visit patient.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_aggr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregate visit to patient level. — pat_aggr","text":"","code":"pat_aggr(df_visit)"},{"path":"https://openpharma.github.io/simaerep/reference/pat_aggr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregate visit to patient level. — pat_aggr","text":"df_visit dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_aggr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Aggregate visit to patient level. — pat_aggr","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_pool.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a study specific patient pool for sampling — pat_pool","title":"Create a study specific patient pool for sampling — pat_pool","text":"Internal function sim_sites, filter visits greater max_visit_med75_study returns dataframe one column studies one column nested patient data.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_pool.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a study specific patient pool for sampling — pat_pool","text":"","code":"pat_pool(df_visit, df_site)"},{"path":"https://openpharma.github.io/simaerep/reference/pat_pool.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a study specific patient pool for sampling — pat_pool","text":"df_visit dataframe, created sim_sites df_site dataframe created site_aggr","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_pool.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a study specific patient pool for sampling — pat_pool","text":"dataframe nested pat_pool column","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pat_pool.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a study specific patient pool for sampling — pat_pool","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 )  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  df_pat_pool <- pat_pool(df_visit, df_site)  df_pat_pool #> # A tibble: 1 × 2 #>   study_id pat_pool             #>   <chr>    <list>               #> 1 A        <tibble [1,637 × 3]>"},{"path":"https://openpharma.github.io/simaerep/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"https://openpharma.github.io/simaerep/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"returns output rhs function","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":null,"dir":"Reference","previous_headings":"","what":"plot AE under-reporting simulation results — plot.simaerep","title":"plot AE under-reporting simulation results — plot.simaerep","text":"generic plot function simaerep objects","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"plot AE under-reporting simulation results — plot.simaerep","text":"","code":"# S3 method for class 'simaerep' plot(   x,   ...,   study = NULL,   what = \"ur\",   n_sites = 16,   df_visit = NULL,   env = parent.frame() )"},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"plot AE under-reporting simulation results — plot.simaerep","text":"x simaerep object ... additional parameters passed plot_study() plot_visit_med75() study character specifying study plotted, Default: NULL one c(\"ur\", \"med75\"), specifying whether plot site AE -reporting visit_med75 values, Default: 'ur' n_sites number sites plot, Default: 16 df_visit optional, pass original visit data retrieved parent environment, Default: NULL env optional, pass environment retrieve original visit data, Default: parent.frame()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"plot AE under-reporting simulation results — plot.simaerep","text":"ggplot object","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"plot AE under-reporting simulation results — plot.simaerep","text":"see plot_study() plot_visit_med75()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot.simaerep.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"plot AE under-reporting simulation results — plot.simaerep","text":"","code":"# \\donttest{ df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 )  df_visit$study_id <- \"A\"  aerep <- simaerep(df_visit)  plot(aerep, what = \"ur\", study = \"A\")  plot(aerep, what = \"med75\", study = \"A\") #> purple line:          mean site ae of patients with visit_med75 #> grey line:            patient included #> black dashed line:    patient excluded #> dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  #> solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients #> dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study #>   # }"},{"path":"https://openpharma.github.io/simaerep/reference/plot_dots.html","id":null,"dir":"Reference","previous_headings":"","what":"Plots AE per site as dots. — plot_dots","title":"Plots AE per site as dots. — plot_dots","text":"plot meant supplement package documentation.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_dots.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plots AE per site as dots. — plot_dots","text":"","code":"plot_dots(   df,   nrow = 10,   ncols = 10,   col_group = \"site\",   thresh = NULL,   color_site_a = \"#BDBDBD\",   color_site_b = \"#757575\",   color_site_c = \"gold3\",   color_high = \"#00695C\",   color_low = \"#25A69A\",   size_dots = 10 )"},{"path":"https://openpharma.github.io/simaerep/reference/plot_dots.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plots AE per site as dots. — plot_dots","text":"df dataframe, cols = c('site', 'patients', 'n_ae') nrow integer, number rows, Default: 10 ncols integer, number columns, Default: 10 col_group character, grouping column, Default: 'site' thresh numeric, threshold determine color mean_ae annotation, Default: NULL color_site_a character, hex color value, Default: '#BDBDBD' color_site_b character, hex color value, Default: '#757575' color_site_c character, hex color value, Default: 'gold3' color_high character, hex color value, Default: '#00695C' color_low character, hex color value, Default: '#25A69A' size_dots integer, Default: 10","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_dots.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plots AE per site as dots. — plot_dots","text":"ggplot object","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_dots.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plots AE per site as dots. — plot_dots","text":"","code":"study <- tibble::tibble(   site = LETTERS[1:3],   patients = c(list(seq(1, 50, 1)), list(seq(1, 40, 1)), list(seq(1, 10, 1))) ) %>%   tidyr::unnest(patients) %>%   dplyr::mutate(n_ae = as.integer(runif(min = 0, max = 10, n = nrow(.))))  plot_dots(study)"},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot simulation example. — plot_sim_example","title":"Plot simulation example. — plot_sim_example","text":"plots supplements package documentation.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot simulation example. — plot_sim_example","text":"","code":"plot_sim_example(   substract_ae_per_pat = 0,   size_dots = 10,   size_raster_label = 12,   color_site_a = \"#BDBDBD\",   color_site_b = \"#757575\",   color_site_c = \"gold3\",   color_high = \"#00695C\",   color_low = \"#25A69A\",   title = TRUE,   legend = TRUE,   seed = 5 )"},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot simulation example. — plot_sim_example","text":"substract_ae_per_pat integer, subtract aes patients site C, Default: 0 size_dots integer, Default: 10 size_raster_label integer, Default: 12 color_site_a character, hex color value, Default: '#BDBDBD' color_site_b character, hex color value, Default: '#757575' color_site_c character, hex color value, Default: 'gold3' color_high character, hex color value, Default: '#00695C' color_low character, hex color value, Default: '#25A69A' title logical, include title, Default: T legend logical, include legend, Default: T seed pass seed simulations Default: 5","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot simulation example. — plot_sim_example","text":"ggplot","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot simulation example. — plot_sim_example","text":"uses plot_dots() adds 2 simulation panels, uses made-site config three sites ,B,C simulating site C","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_example.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot simulation example. — plot_sim_example","text":"","code":"# \\donttest{ plot_sim_example(size_dots = 5)  # }"},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot multiple simulation examples. — plot_sim_examples","title":"Plot multiple simulation examples. — plot_sim_examples","text":"plot meant supplement package documentation.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot multiple simulation examples. — plot_sim_examples","text":"","code":"plot_sim_examples(substract_ae_per_pat = c(0, 1, 3), ...)"},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot multiple simulation examples. — plot_sim_examples","text":"substract_ae_per_pat integer, Default: c(0, 1, 3) ... parameters passed plot_sim_example()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot multiple simulation examples. — plot_sim_examples","text":"ggplot","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot multiple simulation examples. — plot_sim_examples","text":"function wrapper plot_sim_example()","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/plot_sim_examples.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot multiple simulation examples. — plot_sim_examples","text":"","code":"# \\donttest{ plot_sim_examples(size_dot = 3, size_raster_label = 10)  plot_sim_examples()  # }"},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot ae development of study and sites highlighting at risk sites. — plot_study","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"suitable visual representation AE -reporting statistics.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"","code":"plot_study(   df_visit,   df_site,   df_eval,   study,   df_al = NULL,   n_sites = 16,   pval = FALSE,   prob_col = \"prob_low_prob_ur\" )"},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"df_visit dataframe, created sim_sites() df_site dataframe created site_aggr() df_eval dataframe created eval_sites() study study df_al dataframe containing study_id, site_number, alert_level_site, alert_level_study (optional), Default: NA n_sites integer number risk sites, Default: 16 pval logical show p-value, Default:FALSE prob_col character, denotes probability column, Default: \"prob_low_prob_ur\"","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"ggplot","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"Left panel shows mean AE reporting per site (lightblue darkblue lines) mean AE reporting entire study (golden line). Single sites plotted descending order AE -reporting probability right panel grey lines denote cumulative AE count single patients. Grey dots left panel plot indicate sites picked single plotting. AE -reporting probability dark blue lines crossed threshold 95%. Numbers upper left corner indicate ratio patients used analysis total number patients. Patients study long enough reach evaluation point (visit_med75) ignored.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_study.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot ae development of study and sites highlighting at risk sites. — plot_study","text":"","code":"# \\donttest{ df_visit <- sim_test_data_study(n_pat = 1000, n_sites = 10,     frac_site_with_ur = 0.2, ur_rate = 0.15, max_visit_sd = 8)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit, r = 100)  df_eval <- eval_sites(df_sim_sites)  plot_study(df_visit, df_site, df_eval, study = \"A\")  # }"},{"path":"https://openpharma.github.io/simaerep/reference/plot_visit_med75.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot patient visits against visit_med75. — plot_visit_med75","title":"Plot patient visits against visit_med75. — plot_visit_med75","text":"Plots cumulative AEs visits patients sites given study compares visit_med75.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_visit_med75.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot patient visits against visit_med75. — plot_visit_med75","text":"","code":"plot_visit_med75(   df_visit,   df_site = NULL,   study_id_str,   n_sites = 6,   min_pat_pool = 0.2,   verbose = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/plot_visit_med75.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot patient visits against visit_med75. — plot_visit_med75","text":"df_visit dataframe df_site dataframe, returned site_aggr() study_id_str character, specify study study_id column n_sites integer, Default: 6 min_pat_pool double, minimum ratio available patients available sampling. Determines maximum visit_med75 value see Details. Default: 0.2 verbose logical, Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_visit_med75.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot patient visits against visit_med75. — plot_visit_med75","text":"ggplot","code":""},{"path":"https://openpharma.github.io/simaerep/reference/plot_visit_med75.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot patient visits against visit_med75. — plot_visit_med75","text":"","code":"df_visit <- sim_test_data_study(n_pat = 120, n_sites = 6,     frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit$study_id <- \"A\" df_site <- site_aggr(df_visit)  plot_visit_med75(df_visit, df_site, study_id_str = \"A\", n_site = 6) #> purple line:          mean site ae of patients with visit_med75 #> grey line:            patient included #> black dashed line:    patient excluded #> dotted vertical line: visit_med75, 0.75 x median of maximum patient visits of site  #> solid vertical line:  visit_med75 adjusted, increased to minimum maximum patient visit of included patients #> dashed vertical line: maximum value for visit_med75 adjusted, 80% quantile of maximum patient visits of study #>"},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":null,"dir":"Reference","previous_headings":"","what":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"Internal function used sim_sites().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"","code":"poiss_test_site_ae_vs_study_ae(site_ae, study_ae, visit_med75)"},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"site_ae vector AE numbers study_ae vector AE numbers visit_med75 integer","code":""},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"pval","code":""},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"sets pvalue=1 mean AE site greater mean AE study ttest gives error","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/poiss_test_site_ae_vs_study_ae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Poisson test for vector with site AEs vs vector with study AEs. — poiss_test_site_ae_vs_study_ae","text":"","code":"poiss_test_site_ae_vs_study_ae(    site_ae = c(5, 3, 3, 2, 1, 6),    study_ae = c(9, 8, 7, 9, 6, 7, 8),    visit_med75 = 10 ) #> [1] 0.0009782833  poiss_test_site_ae_vs_study_ae(    site_ae = c(11, 9, 8, 6, 3),    study_ae = c(9, 8, 7, 9, 6, 7, 8),    visit_med75 = 10 ) #> [1] 0.9154536"},{"path":"https://openpharma.github.io/simaerep/reference/prep_for_sim.html","id":null,"dir":"Reference","previous_headings":"","what":"Prepare data for simulation. — prep_for_sim","title":"Prepare data for simulation. — prep_for_sim","text":"Internal function called sim_sites. Collect AEs per patient visit_med75 site study vector integers.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prep_for_sim.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prepare data for simulation. — prep_for_sim","text":"","code":"prep_for_sim(df_site, df_visit)"},{"path":"https://openpharma.github.io/simaerep/reference/prep_for_sim.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prepare data for simulation. — prep_for_sim","text":"df_site dataframe created site_aggr df_visit dataframe, created sim_sites","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prep_for_sim.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prepare data for simulation. — prep_for_sim","text":"dataframe","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/prep_for_sim.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prepare data for simulation. — prep_for_sim","text":"","code":"df_visit <- sim_test_data_study(    n_pat = 100,    n_sites = 5,    frac_site_with_ur = 0.4,    ur_rate = 0.2 )  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  df_prep <- prep_for_sim(df_site, df_visit) df_prep #> # A tibble: 5 × 7 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 n_ae_site  n_ae_study #>   <chr>    <chr>       <int>            <dbl>       <dbl> <list>     <list>     #> 1 A        S0001          20               18          15 <int [18]> <int [71]> #> 2 A        S0002          20               16          16 <int [16]> <int [64]> #> 3 A        S0003          20               19          15 <int [19]> <int [70]> #> 4 A        S0004          20               18          14 <int [18]> <int [73]> #> 5 A        S0005          20               17          15 <int [17]> <int [72]>"},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"Internal function used sim_sites()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"","code":"prob_lower_site_ae_vs_study_ae(   site_ae,   study_ae,   r = 1000,   parallel = FALSE,   under_only = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"site_ae vector AE numbers study_ae vector AE numbers r integer, denotes number simulations, default = 1000 parallel logical, toggles parallel processing , default = F under_only compute -reporting probabilities , default = TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"pval","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"sets pvalue=1 mean AE site greater mean AE study","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/prob_lower_site_ae_vs_study_ae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate bootstrapped probability for obtaining a lower site mean AE number. — prob_lower_site_ae_vs_study_ae","text":"","code":"prob_lower_site_ae_vs_study_ae(   site_ae = c(5, 3, 3, 2, 1, 6),   study_ae = c(9, 8, 7, 9, 6, 7, 8),   parallel = FALSE ) #> [1] 0.011"},{"path":"https://openpharma.github.io/simaerep/reference/prune_to_visit_med75_inframe.html","id":null,"dir":"Reference","previous_headings":"","what":"prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe","title":"prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe","text":"prune visits visit_med75 using table operations","code":""},{"path":"https://openpharma.github.io/simaerep/reference/prune_to_visit_med75_inframe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe","text":"","code":"prune_to_visit_med75_inframe(df_visit, df_site)"},{"path":"https://openpharma.github.io/simaerep/reference/prune_to_visit_med75_inframe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"prune visits to visit_med75 using table operations — prune_to_visit_med75_inframe","text":"df_visit Data frame columns: study_id, site_number, patnum, visit, n_ae. df_site dataframe, returned site_aggr()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":null,"dir":"Reference","previous_headings":"","what":"Execute a purrr or furrr function with a progress bar. — purrr_bar","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"Internal utility function.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"","code":"purrr_bar(   ...,   .purrr,   .f,   .f_args = list(),   .purrr_args = list(),   .steps,   .slow = FALSE,   .progress = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"... iterable arguments passed .purrr .purrr purrr furrr function .f function executed iterables .f_args list arguments passed .f, Default: list() .purrr_args list arguments passed .purrr, Default: list() .steps integer number iterations .slow logical slows execution, Default: FALSE .progress logical, show progress bar, Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"result function passed .f","code":""},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"Call still needs wrapped with_progress with_progress_cnd()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/purrr_bar.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Execute a purrr or furrr function with a progress bar. — purrr_bar","text":"","code":"# purrr::map progressr::with_progress(   purrr_bar(rep(0.25, 5), .purrr = purrr::map, .f = Sys.sleep, .steps = 5) ) #> [[1]] #> NULL #>  #> [[2]] #> NULL #>  #> [[3]] #> NULL #>  #> [[4]] #> NULL #>  #> [[5]] #> NULL #>   # \\donttest{ # purrr::walk progressr::with_progress(  purrr_bar(rep(0.25, 5), .purrr = purrr::walk,.f = Sys.sleep, .steps = 5) )  # progress bar off progressr::with_progress(   purrr_bar(     rep(0.25, 5), .purrr = purrr::walk,.f = Sys.sleep, .steps = 5, .progress = FALSE   ) )  # purrr::map2 progressr::with_progress(   purrr_bar(     rep(1, 5), rep(2, 5),     .purrr = purrr::map2,     .f = `+`,     .steps = 5,     .slow = TRUE  ) ) #> [[1]] #> [1] 3 #>  #> [[2]] #> [1] 3 #>  #> [[3]] #> [1] 3 #>  #> [[4]] #> [1] 3 #>  #> [[5]] #> [1] 3 #>   # purrr::pmap progressr::with_progress(   purrr_bar(     list(rep(1, 5), rep(2, 5)),     .purrr = purrr::pmap,     .f = `+`,     .steps = 5,     .slow = TRUE  ) ) #> [[1]] #> [1] 3 #>  #> [[2]] #> [1] 3 #>  #> [[3]] #> [1] 3 #>  #> [[4]] #> [1] 3 #>  #> [[5]] #> [1] 3 #>   # define function within purr_bar() call progressr::with_progress(   purrr_bar(     list(rep(1, 5), rep(2, 5)),     .purrr = purrr::pmap,     .f = function(x, y) {       paste0(x, y)     },     .steps = 5,     .slow = TRUE  ) ) #> [[1]] #> [1] \"12\" #>  #> [[2]] #> [1] \"12\" #>  #> [[3]] #> [1] \"12\" #>  #> [[4]] #> [1] \"12\" #>  #> [[5]] #> [1] \"12\" #>   # with mutate progressr::with_progress(  tibble::tibble(x = rep(0.25, 5)) %>%   dplyr::mutate(x = purrr_bar(x, .purrr = purrr::map, .f = Sys.sleep, .steps = 5)) ) #> # A tibble: 5 × 1 #>   x      #>   <list> #> 1 <NULL> #> 2 <NULL> #> 3 <NULL> #> 4 <NULL> #> 5 <NULL> # }"},{"path":"https://openpharma.github.io/simaerep/reference/sim_after_prep.html","id":null,"dir":"Reference","previous_headings":"","what":"Start simulation after preparation. — sim_after_prep","title":"Start simulation after preparation. — sim_after_prep","text":"Internal function called sim_sites prep_for_sim","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_after_prep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Start simulation after preparation. — sim_after_prep","text":"","code":"sim_after_prep(   df_sim_prep,   r = 1000,   poisson_test = FALSE,   prob_lower = TRUE,   progress = FALSE,   under_only = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_after_prep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Start simulation after preparation. — sim_after_prep","text":"df_sim_prep dataframe returned prep_for_sim r integer, denotes number simulations, default = 1000 poisson_test logical, calculates poisson.test pvalue prob_lower logical, calculates probability getting lower value progress logical, display progress bar, Default = TRUE under_only compute -reporting probabilities , default = TRUE check_df_visit(), computationally expensive large data sets. Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_after_prep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Start simulation after preparation. — sim_after_prep","text":"dataframe","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/sim_after_prep.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Start simulation after preparation. — sim_after_prep","text":"","code":"df_visit <- sim_test_data_study(    n_pat = 100,    n_sites = 5,    frac_site_with_ur = 0.4,    ur_rate = 0.2 )  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  df_prep <- prep_for_sim(df_site, df_visit)  df_sim <- sim_after_prep(df_prep)  df_sim #> # A tibble: 5 × 9 #>   study_id site_number n_pat n_pat_with_med75 visit_med75 mean_ae_site_med75 #>   <chr>    <chr>       <int>            <dbl>       <dbl>              <dbl> #> 1 A        S0001          20               20          15               6.1  #> 2 A        S0002          20               17          16               6.53 #> 3 A        S0003          20               17          16               8.35 #> 4 A        S0004          20               20          15               6.55 #> 5 A        S0005          20               16          15               7.62 #> # ℹ 3 more variables: mean_ae_study_med75 <dbl>, n_pat_with_med75_study <int>, #> #   prob_low <dbl>"},{"path":"https://openpharma.github.io/simaerep/reference/sim_inframe.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate prob_lower for study sites using table operations — sim_inframe","title":"Calculate prob_lower for study sites using table operations — sim_inframe","text":"Calculate prob_lower study sites using table operations","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_inframe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate prob_lower for study sites using table operations — sim_inframe","text":"","code":"sim_inframe(df_visit, r = 1000, df_site = NULL)"},{"path":"https://openpharma.github.io/simaerep/reference/sim_inframe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate prob_lower for study sites using table operations — sim_inframe","text":"df_visit Data frame columns: study_id, site_number, patnum, visit, n_ae. r Integer tbl_object, number repetitions bootstrap simulation. Pass tbl object referring table one column many rows desired repetitions. Default: 1000. df_site, dataframe returned site_aggr(), switch visit_med75. Default: NULL","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_inframe.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate prob_lower for study sites using table operations — sim_inframe","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 ) df_visit$study_id <- \"A\"  df_sim <- sim_inframe(df_visit) df_eval <- eval_sites(df_sim) df_eval #> # A tibble: 5 × 10 #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <int>    <dbl> #> 1 A        S0001                       0.188     75    400    20    0     #> 2 A        S0002                       0.186     75    403    20    0     #> 3 A        S0003                       0.496    187    377    20    0.998 #> 4 A        S0004                       0.453    180    397    20    0.98  #> 5 A        S0005                       0.492    187    380    20    0.998 #> # ℹ 3 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>"},{"path":"https://openpharma.github.io/simaerep/reference/sim_scenario.html","id":null,"dir":"Reference","previous_headings":"","what":"simulate single scenario — sim_scenario","title":"simulate single scenario — sim_scenario","text":"internal function called simulate_scenarios()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_scenario.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simulate single scenario — sim_scenario","text":"","code":"sim_scenario(n_ae_site, n_ae_study, frac_pat_with_ur, ur_rate)"},{"path":"https://openpharma.github.io/simaerep/reference/sim_scenario.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simulate single scenario — sim_scenario","text":"n_ae_site integer vector n_ae_study integer vector frac_pat_with_ur double ur_rate double","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_scenario.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"simulate single scenario — sim_scenario","text":"list","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_scenario.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"simulate single scenario — sim_scenario","text":"","code":"sim_scenario(c(5,5,5,5), c(8,8,8,8), 0.2, 0.5) #> $n_ae_site #> [1] 2.5 2.5 5.0 5.0 #>  #> $n_ae_study #> [1] 8 8 8 8 #>  sim_scenario(c(5,5,5,5), c(8,8,8,8), 0.75, 0.5) #> $n_ae_site #> [1] 2.5 2.5 2.5 2.5 #>  #> $n_ae_study #> [1] 4 4 8 8 #>  sim_scenario(c(5,5,5,5), c(8,8,8,8), 1, 0.5) #> $n_ae_site #> [1] 2.5 2.5 2.5 2.5 #>  #> $n_ae_study #> [1] 4 4 4 4 #>  sim_scenario(c(5,5,5,5), c(8,8,8,8), 1, 1) #> $n_ae_site #> [1] 0 0 0 0 #>  #> $n_ae_study #> [1] 0 0 0 0 #>  sim_scenario(c(5,5,5,5), c(8,8,8,8), 0, 0.5) #> $n_ae_site #> [1] 5 5 5 5 #>  #> $n_ae_study #> [1] 8 8 8 8 #>  sim_scenario(c(5,5,5,5), c(8,8,8,8), 2, 0.5) #> $n_ae_site #> [1] 2.5 2.5 2.5 2.5 #>  #> $n_ae_study #> [1] 4 4 4 4 #>"},{"path":"https://openpharma.github.io/simaerep/reference/sim_sites.html","id":null,"dir":"Reference","previous_headings":"","what":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","title":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","text":"Collects number AEs eligible patients meet visit_med75 criteria site.  calculates poisson.test pvalue bootstrapped probability lower mean value.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_sites.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","text":"","code":"sim_sites(   df_site,   df_visit,   r = 1000,   poisson_test = TRUE,   prob_lower = TRUE,   progress = TRUE,   check = TRUE,   under_only = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_sites.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","text":"df_site dataframe created site_aggr df_visit dataframe, created sim_sites r integer, denotes number simulations, default = 1000 poisson_test logical, calculates poisson.test pvalue prob_lower logical, calculates probability getting lower value progress logical, display progress bar, Default = TRUE check, logical, perform data check attempt repair under_only compute -reporting probabilities , default = TRUE check_df_visit(), computationally expensive large data sets. Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_sites.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","text":"dataframe following columns: study_id study identification site_number site identification n_pat number patients site visit_med75 median(max(visit)) * 0.75 n_pat_with_med75 number patients site med75 mean_ae_site_med75 mean AE visit_med75 site level mean_ae_study_med75 mean AE visit_med75 study level n_pat_with_med75_study number patients study med75 excl. site pval p-value returned poisson.test prob_low bootstrapped probability mean_ae_site_med75 lower","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/sim_sites.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Calculate prob_lower and poisson.test pvalue for study sites. — sim_sites","text":"","code":"df_visit <- sim_test_data_study(    n_pat = 100,    n_sites = 5,    frac_site_with_ur = 0.4,    ur_rate = 0.2 )  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  df_sim_sites <- sim_sites(df_site, df_visit, r = 100)  df_sim_sites %>%  knitr::kable(digits = 2) #>  #>  #> |study_id |site_number | n_pat| n_pat_with_med75| visit_med75| mean_ae_site_med75| mean_ae_study_med75| n_pat_with_med75_study| pval| prob_low| #> |:--------|:-----------|-----:|----------------:|-----------:|------------------:|-------------------:|----------------------:|----:|--------:| #> |A        |S0001       |    20|               20|          15|               6.35|                6.31|                     71| 1.00|     1.00| #> |A        |S0002       |    20|               19|          15|               5.37|                6.57|                     72| 0.06|     0.06| #> |A        |S0003       |    20|               18|          15|               7.11|                6.12|                     73| 1.00|     1.00| #> |A        |S0004       |    20|               15|          17|               7.87|                7.03|                     61| 1.00|     1.00| #> |A        |S0005       |    20|               19|          15|               6.37|                6.31|                     72| 1.00|     1.00|"},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate studies. — sim_studies","title":"Simulate studies. — sim_studies","text":"Test function, test applicability poisson test, calculating bootstrapped probability obtaining specific p-value lower, use combination get_ecd_values().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate studies. — sim_studies","text":"","code":"sim_studies(   df_visit,   df_site,   r = 100,   poisson_test = TRUE,   prob_lower = TRUE,   r_prob_lower = 1000,   under_only = TRUE,   parallel = FALSE,   keep_ae = FALSE,   min_n_pat_with_med75 = 1,   studies = NULL,   .progress = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate studies. — sim_studies","text":"df_visit dataframe df_site dataframe r integer, denotes number simulations, Default: 1000 poisson_test logical, calculates poisson.test pvalue, Default: TRUE prob_lower logical, calculates probability getting lower value, Default: FALSE r_prob_lower integer, denotes number simulations prob_lower value calculation,, Default: 1000 under_only compute -reporting probabilities , default = TRUE parallel logical, see examples registering parallel processing framework , Default: FALSE keep_ae logical, keep ae numbers output dataframe memory increase roughly 30 percent, Default: F min_n_pat_with_med75 integer, min number patients med75 site simulate, Default: 1 studies vector study names, Default: NULL .progress logical, show progress bar","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate studies. — sim_studies","text":"dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulate studies. — sim_studies","text":"simulate study replicates maintaining number sites, patients visit_med75 bootstrap resampling, probabilities obtaining lower mean_ae count p-values using poisson.test calculated. adds column simulated probabilities equal lower mean_ae visit_med75","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_studies.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate studies. — sim_studies","text":"","code":"# \\donttest{ df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 5,                                       frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 1000, n_sites = 3,                                       frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site <- site_aggr(df_visit)  sim_studies(df_visit, df_site, r = 3, keep_ae = TRUE) #> # A tibble: 24 × 10 #>        r study_id site_number visit_med75 n_pat_with_med75 n_pat_study n_ae_site #>    <dbl> <chr>    <chr>             <dbl>            <dbl>       <dbl> <chr>     #>  1     1 A        S0001                16               18          68 11,5,7,4… #>  2     1 A        S0002                18               17          53 11,16,8,… #>  3     1 A        S0003                17               18          62 13,11,13… #>  4     1 A        S0004                14               18          74 7,9,7,6,… #>  5     1 A        S0005                15               17          71 6,9,5,4,… #>  6     1 B        S0001                15              297         597 10,13,11… #>  7     1 B        S0002                15              296         598 3,10,4,6… #>  8     1 B        S0003                15              301         593 3,6,7,10… #>  9     2 A        S0001                16               18          68 10,5,7,3… #> 10     2 A        S0002                18               17          53 5,17,8,6… #> # ℹ 14 more rows #> # ℹ 3 more variables: n_ae_study <chr>, pval <dbl>, prob_low <dbl> # } if (FALSE) { # \\dontrun{ # parallel processing ------------------------- library(future) future::plan(multiprocess) sim_studies(df_visit, df_site, r = 3, keep_ae = TRUE, parallel = TRUE) future::plan(sequential) } # }"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":null,"dir":"Reference","previous_headings":"","what":"simulate patient ae reporting test data — sim_test_data_patient","title":"simulate patient ae reporting test data — sim_test_data_patient","text":"helper function sim_test_data_study()","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simulate patient ae reporting test data — sim_test_data_patient","text":"","code":"sim_test_data_patient(   .f_sample_max_visit = function() rnorm(1, mean = 20, sd = 4),   .f_sample_ae_per_visit = function(max_visit) rpois(max_visit, 0.5) )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simulate patient ae reporting test data — sim_test_data_patient","text":".f_sample_max_visit function used sample maximum number aes, Default: function() rnorm(1, mean = 20, sd = 4) .f_sample_ae_per_visit function used sample aes visit, Default: function(x) rpois(x, 0.5)","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"simulate patient ae reporting test data — sim_test_data_patient","text":"vector containing cumulative aes","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"simulate patient ae reporting test data — sim_test_data_patient","text":"\"\"","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_patient.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"simulate patient ae reporting test data — sim_test_data_patient","text":"","code":"replicate(5, sim_test_data_patient()) #> [[1]] #>  [1]  1  2  3  3  4  4  4  4  4  4  5  5  5  7  8  9 10 10 11 11 12 14 14 #>  #> [[2]] #>  [1]  2  2  3  4  5  5  5  6  6  6  7  7  8  9  9 11 11 11 11 11 11 11 12 12 #>  #> [[3]] #>  [1]  2  4  5  7  7  8  9 11 11 11 12 12 13 14 14 15 15 15 15 15 15 #>  #> [[4]] #>  [1] 0 0 1 2 3 3 3 3 4 5 5 5 5 5 #>  #> [[5]] #>  [1]  1  1  1  1  1  1  2  2  4  4  4  4  6  6  7  7  7  8  9 11 12 12 #>  replicate(5, sim_test_data_patient(     .f_sample_ae_per_visit = function(x) rpois(x, 1.2))   ) #> [[1]] #>  [1]  1  3  3  5  6  6  6  6  8  8  9 13 15 15 16 16 #>  #> [[2]] #>  [1]  2  3  4  4  4  8  9  9 11 11 11 13 15 16 16 18 22 23 23 24 25 #>  #> [[3]] #>  [1]  2  2  3  3  3  3  5  8  9 11 13 14 16 16 17 19 21 23 23 23 24 #>  #> [[4]] #>  [1]  2  4  5  5  9  9 10 11 12 16 16 20 21 22 24 25 27 29 31 34 36 37 41 41 45 #> [26] 47 #>  #> [[5]] #>  [1]  0  1  1  2  3  3  3  4  4  5  5  5  5  7  9 11 13 15 16 16 16 17 #>  replicate(5, sim_test_data_patient(     .f_sample_max_visit = function() rnorm(1, mean = 5, sd = 5))   ) #> [[1]] #> [1] 0 2 2 4 4 4 #>  #> [[2]] #> [1] 1 #>  #> [[3]] #> [1] 0 0 0 #>  #> [[4]] #>  [1] 3 3 3 3 4 4 4 4 4 4 #>  #> [[5]] #>  [1] 1 1 2 3 3 3 3 3 3 3 3 4 4 4 4 4 6 #>"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate Portfolio Test Data — sim_test_data_portfolio","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"Simulate visit level data portfolio configuration.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"","code":"sim_test_data_portfolio(   df_config,   df_ae_rates = NULL,   parallel = FALSE,   progress = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"df_config dataframe returned get_config df_ae_rates dataframe ae rates. Default: NULL parallel logical activate parallel processing, see details, Default: FALSE progress logical, Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"dataframe following columns: study_id study identification ae_per_visit_mean mean AE per visit per study site_number site max_visit_sd standard deviation maximum patient visits per site max_visit_mean mean maximum patient visits per site patnum number patients visit visit number n_ae cumulative sum AEs","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"uses sim_test_data_study. use furrr package implement parallel processing simulations can take long time run. work need specify plan code run, e.g. `plan(multisession, workers = 3)","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_portfolio.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate Portfolio Test Data — sim_test_data_portfolio","text":"","code":"# \\donttest{ df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site_max <- df_visit %>%   dplyr::group_by(study_id, site_number, patnum) %>%   dplyr::summarise(max_visit = max(visit),             max_ae = max(n_ae),             .groups = \"drop\")  df_config <- get_config(df_site_max)  df_config #> # A tibble: 20 × 6 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean n_pat #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <int> #>  1 0001                 0.355 0001                4.23           19.9    10 #>  2 0001                 0.355 0002                4.13           19.8    10 #>  3 0001                 0.355 0003                5.03           19.3    10 #>  4 0001                 0.355 0004                4.40           20      10 #>  5 0001                 0.355 0005                3.77           20.3    10 #>  6 0001                 0.355 0006                3.58           17.2    10 #>  7 0001                 0.355 0007                5.10           19.6    10 #>  8 0001                 0.355 0008                3.74           19.2    10 #>  9 0001                 0.355 0009                4.40           19.6    10 #> 10 0001                 0.355 0010                4.50           19.4    10 #> 11 0002                 0.505 0001                1.51           17.6    10 #> 12 0002                 0.505 0002                2.99           20.5    10 #> 13 0002                 0.505 0003                3.59           19.7    10 #> 14 0002                 0.505 0004                2.70           17.8    10 #> 15 0002                 0.505 0005                4.72           21.1    10 #> 16 0002                 0.505 0006                5.70           18.9    10 #> 17 0002                 0.505 0007                2.68           20.5    10 #> 18 0002                 0.505 0008                4.28           19.1    10 #> 19 0002                 0.505 0009                3.44           18.5    10 #> 20 0002                 0.505 0010                4.86           20.1    10  df_portf <- sim_test_data_portfolio(df_config)  df_portf #> # A tibble: 3,729 × 8 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean patnum #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <chr>  #>  1 0001                 0.355 0001                4.23           19.9 0001   #>  2 0001                 0.355 0001                4.23           19.9 0001   #>  3 0001                 0.355 0001                4.23           19.9 0001   #>  4 0001                 0.355 0001                4.23           19.9 0001   #>  5 0001                 0.355 0001                4.23           19.9 0001   #>  6 0001                 0.355 0001                4.23           19.9 0001   #>  7 0001                 0.355 0001                4.23           19.9 0001   #>  8 0001                 0.355 0001                4.23           19.9 0001   #>  9 0001                 0.355 0001                4.23           19.9 0001   #> 10 0001                 0.355 0001                4.23           19.9 0001   #> # ℹ 3,719 more rows #> # ℹ 2 more variables: visit <int>, n_ae <int>  df_scen <- sim_ur_scenarios(df_portf,                             extra_ur_sites = 2,                             ur_rate = c(0.5, 1)) #> aggregating site level #> prepping for simulation #> generating scenarios #> getting under-reporting stats #> evaluating stats   df_scen #> # A tibble: 140 × 14 #>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat #>    <chr>    <chr>                <dbl>            <dbl>   <dbl> <int> #>  1 0001     0001                     0            0         0      10 #>  2 0001     0001                     0            0.222     0.5    10 #>  3 0001     0001                     0            0.222     1      10 #>  4 0001     0001                     1            0.333     0.5    10 #>  5 0001     0001                     1            0.333     1      10 #>  6 0001     0001                     2            0.444     0.5    10 #>  7 0001     0001                     2            0.444     1      10 #>  8 0001     0002                     0            0         0      10 #>  9 0001     0002                     0            0.119     0.5    10 #> 10 0001     0002                     0            0.119     1      10 #> # ℹ 130 more rows #> # ℹ 8 more variables: n_pat_with_med75 <dbl>, visit_med75 <dbl>, #> #   mean_ae_site_med75 <dbl>, mean_ae_study_med75 <dbl>, #> #   n_pat_with_med75_study <int>, prob_low <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>  df_perf <- get_portf_perf(df_scen)  df_perf #> # A tibble: 27 × 5 #>      fpr thresh extra_ur_sites ur_rate   tpr #>    <dbl>  <dbl>          <dbl>   <dbl> <dbl> #>  1 0.001  0.555              0     0     0.1 #>  2 0.001  0.555              1     0     0.1 #>  3 0.001  0.555              2     0     0.1 #>  4 0.001  0.555              0     0.5   1   #>  5 0.001  0.555              1     0.5   1   #>  6 0.001  0.555              2     0.5   0.9 #>  7 0.001  0.555              0     1     1   #>  8 0.001  0.555              1     1     1   #>  9 0.001  0.555              2     1     1   #> 10 0.01   0.555              0     0     0.1 #> # ℹ 17 more rows # }"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":null,"dir":"Reference","previous_headings":"","what":"simulate study test data — sim_test_data_study","title":"simulate study test data — sim_test_data_study","text":"evenly distributes number given patients across number given sites. simulates ae development patient reducing number reported AEs patients distributed AE--reporting sites.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simulate study test data — sim_test_data_study","text":"","code":"sim_test_data_study(   n_pat = 1000,   n_sites = 20,   frac_site_with_ur = 0,   ur_rate = 0,   max_visit_mean = 20,   max_visit_sd = 4,   ae_per_visit_mean = 0.5,   ae_rates = NULL )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simulate study test data — sim_test_data_study","text":"n_pat integer, number patients, Default: 1000 n_sites integer, number sites, Default: 20 frac_site_with_ur fraction AE -reporting sites, Default: 0 ur_rate AE -reporting rate, lower mean ae per visit used simulate patients sites flagged AE--reporting. Negative Values simulate -reporting., Default: 0 max_visit_mean mean maximum number visits patient, Default: 20 max_visit_sd standard deviation maximum number visits patient, Default: 4 ae_per_visit_mean mean ae per visit per patient, Default: 0.5 ae_rates vector visit-specific ae rates, Default: Null","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"simulate study test data — sim_test_data_study","text":"tibble columns site_number, patnum, is_ur, max_visit_mean, max_visit_sd, ae_per_visit_mean, visit, n_ae","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"simulate study test data — sim_test_data_study","text":"maximum visit number sampled normal distribution characteristics derived max_visit_mean max_visit_sd, ae per visit sampled poisson distribution described ae_per_visit_mean.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_test_data_study.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"simulate study test data — sim_test_data_study","text":"","code":"set.seed(1) df_visit <- sim_test_data_study(n_pat = 100, n_sites = 5) df_visit[which(df_visit$patnum == \"P000001\"),] #> # A tibble: 17 × 8 #>    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit #>    <chr>   <chr>       <lgl>          <dbl>        <dbl>             <dbl> <int> #>  1 P000001 S0001       FALSE             20            4               0.5     1 #>  2 P000001 S0001       FALSE             20            4               0.5     2 #>  3 P000001 S0001       FALSE             20            4               0.5     3 #>  4 P000001 S0001       FALSE             20            4               0.5     4 #>  5 P000001 S0001       FALSE             20            4               0.5     5 #>  6 P000001 S0001       FALSE             20            4               0.5     6 #>  7 P000001 S0001       FALSE             20            4               0.5     7 #>  8 P000001 S0001       FALSE             20            4               0.5     8 #>  9 P000001 S0001       FALSE             20            4               0.5     9 #> 10 P000001 S0001       FALSE             20            4               0.5    10 #> 11 P000001 S0001       FALSE             20            4               0.5    11 #> 12 P000001 S0001       FALSE             20            4               0.5    12 #> 13 P000001 S0001       FALSE             20            4               0.5    13 #> 14 P000001 S0001       FALSE             20            4               0.5    14 #> 15 P000001 S0001       FALSE             20            4               0.5    15 #> 16 P000001 S0001       FALSE             20            4               0.5    16 #> 17 P000001 S0001       FALSE             20            4               0.5    17 #> # ℹ 1 more variable: n_ae <int> df_visit <- sim_test_data_study(n_pat = 100, n_sites = 5,     frac_site_with_ur = 0.2, ur_rate = 0.5) df_visit[which(df_visit$patnum == \"P000001\"),] #> # A tibble: 23 × 8 #>    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit #>    <chr>   <chr>       <lgl>          <dbl>        <dbl>             <dbl> <int> #>  1 P000001 S0001       TRUE              20            4              0.25     1 #>  2 P000001 S0001       TRUE              20            4              0.25     2 #>  3 P000001 S0001       TRUE              20            4              0.25     3 #>  4 P000001 S0001       TRUE              20            4              0.25     4 #>  5 P000001 S0001       TRUE              20            4              0.25     5 #>  6 P000001 S0001       TRUE              20            4              0.25     6 #>  7 P000001 S0001       TRUE              20            4              0.25     7 #>  8 P000001 S0001       TRUE              20            4              0.25     8 #>  9 P000001 S0001       TRUE              20            4              0.25     9 #> 10 P000001 S0001       TRUE              20            4              0.25    10 #> # ℹ 13 more rows #> # ℹ 1 more variable: n_ae <int> ae_rates <- c(0.7, rep(0.5, 8), rep(0.3, 5)) sim_test_data_study(n_pat = 100, n_sites = 5, ae_rates = ae_rates) #> # A tibble: 1,968 × 8 #>    patnum  site_number is_ur max_visit_mean max_visit_sd ae_per_visit_mean visit #>    <chr>   <chr>       <lgl>          <dbl>        <dbl>             <dbl> <int> #>  1 P000001 S0001       FALSE             20            4             0.443     1 #>  2 P000001 S0001       FALSE             20            4             0.443     2 #>  3 P000001 S0001       FALSE             20            4             0.443     3 #>  4 P000001 S0001       FALSE             20            4             0.443     4 #>  5 P000001 S0001       FALSE             20            4             0.443     5 #>  6 P000001 S0001       FALSE             20            4             0.443     6 #>  7 P000001 S0001       FALSE             20            4             0.443     7 #>  8 P000001 S0001       FALSE             20            4             0.443     8 #>  9 P000001 S0001       FALSE             20            4             0.443     9 #> 10 P000001 S0001       FALSE             20            4             0.443    10 #> # ℹ 1,958 more rows #> # ℹ 1 more variable: n_ae <int>"},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur.html","id":null,"dir":"Reference","previous_headings":"","what":"simulate under-reporting — sim_ur","title":"simulate under-reporting — sim_ur","text":"remove fraction AEs specific site","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simulate under-reporting — sim_ur","text":"","code":"sim_ur(df_visit, study_id, site_number, ur_rate)"},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simulate under-reporting — sim_ur","text":"df_visit, dataframe study_id, character site_number, character ur_rate, double","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"simulate under-reporting — sim_ur","text":"determine absolute number AEs per patient removal. remove first visit. intentionally allow fractions","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"simulate under-reporting — sim_ur","text":"","code":"df_visit <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit$study_id <- \"A\"  df_ur <- sim_ur(df_visit, \"A\", site_number = \"S0001\", ur_rate = 0.35)  # Example cumulated AE for first patient with 35% under-reporting df_ur[df_ur$site_number == \"S0001\" & df_ur$patnum == \"P000001\",]$n_ae #>  [1] 0.0 0.6 0.6 1.6 1.6 1.6 1.6 1.6 1.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.6  # Example cumulated AE for first patient with no under-reporting df_visit[df_visit$site_number == \"S0001\" & df_visit$patnum == \"P000001\",]$n_ae #>  [1] 1 2 2 3 3 3 3 3 3 4 4 4 4 4 4 4 4"},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"Use simulated portfolio data generate -reporting stats specified scenarios.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"","code":"sim_ur_scenarios(   df_portf,   extra_ur_sites = 3,   ur_rate = c(0.25, 0.5),   r = 1000,   poisson_test = FALSE,   prob_lower = TRUE,   parallel = FALSE,   progress = TRUE,   site_aggr_args = list(),   eval_sites_args = list(),   check = TRUE )"},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"df_portf dataframe returned sim_test_data_portfolio extra_ur_sites numeric, set maximum number additional -reporting sites, see details Default: 3 ur_rate numeric vector, set -reporting rates scenarios Default: c(0.25, 0.5) r integer, denotes number simulations, default = 1000 poisson_test logical, calculates poisson.test pvalue prob_lower logical, calculates probability getting lower value parallel logical, use parallel processing see details, Default: FALSE progress logical, show progress bar, Default: TRUE site_aggr_args named list parameters passed site_aggr, Default: list() eval_sites_args named list parameters passed eval_sites, Default: list() check logical, perform data check attempt repair ","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"dataframe following columns: study_id study identification site_number site identification n_pat number patients site n_pat_with_med75 number patients site visit_med75 visit_med75 median(max(visit)) * 0.75 mean_ae_site_med75 mean AE visit_med75 site level mean_ae_study_med75 mean AE visit_med75 study level n_pat_with_med75_study number patients site visit_med75 study excl site extra_ur_sites additional sites -reporting patients frac_pat_with_ur ratio patients study -reporting ur_rate -reporting rate pval p-value returned poisson.test prob_low bootstrapped probability mean_ae_site_med75 lower pval_adj adjusted p-values prob_low_adj adjusted bootstrapped probability mean_ae_site_med75 lower pval_prob_ur probability -reporting 1 - pval_adj, poisson.test (use benchmark) prob_low_prob_ur probability -reporting 1 - prob_low_adj, bootstrapped (use)","code":""},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"function apply -reporting scenarios site. Reducing number AEs given -reporting (ur_rate) patients site add corresponding -reporting statistics. Since -reporting probability also affected number sites -reporting additionally calculate -reporting statistics scenario additional reporting sites present. use median number patients per site study calculate final number patients lower AEs given -reporting scenario. use furrr package implement parallel processing simulations can take long time run. work need specify plan code run, e.g. plan(multisession, workers = 18)","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/sim_ur_scenarios.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate Under-Reporting Scenarios — sim_ur_scenarios","text":"","code":"# \\donttest{ df_visit1 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.4, ur_rate = 0.6)  df_visit1$study_id <- \"A\"  df_visit2 <- sim_test_data_study(n_pat = 100, n_sites = 10,                                  frac_site_with_ur = 0.2, ur_rate = 0.1)  df_visit2$study_id <- \"B\"  df_visit <- dplyr::bind_rows(df_visit1, df_visit2)  df_site_max <- df_visit %>%   dplyr::group_by(study_id, site_number, patnum) %>%   dplyr::summarise(max_visit = max(visit),             max_ae = max(n_ae),             .groups = \"drop\")  df_config <- get_config(df_site_max)  df_config #> # A tibble: 20 × 6 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean n_pat #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <int> #>  1 0001                 0.381 0001                2.85           19.9    10 #>  2 0001                 0.381 0002                3.31           18.1    10 #>  3 0001                 0.381 0003                3.14           18.1    10 #>  4 0001                 0.381 0004                4.74           20.7    10 #>  5 0001                 0.381 0005                5.20           19.2    10 #>  6 0001                 0.381 0006                3.30           21      10 #>  7 0001                 0.381 0007                4.07           19.9    10 #>  8 0001                 0.381 0008                4.53           18.5    10 #>  9 0001                 0.381 0009                2.95           21.7    10 #> 10 0001                 0.381 0010                3.36           20.2    10 #> 11 0002                 0.491 0001                3.03           20.9    10 #> 12 0002                 0.491 0002                2.44           18.8    10 #> 13 0002                 0.491 0003                3.62           20.3    10 #> 14 0002                 0.491 0004                3.79           19.8    10 #> 15 0002                 0.491 0005                4.19           19.3    10 #> 16 0002                 0.491 0006                5.34           18.5    10 #> 17 0002                 0.491 0007                4.23           18.9    10 #> 18 0002                 0.491 0008                3.28           18.9    10 #> 19 0002                 0.491 0009                5.33           18      10 #> 20 0002                 0.491 0010                3.48           19.1    10  df_portf <- sim_test_data_portfolio(df_config)  df_portf #> # A tibble: 3,746 × 8 #>    study_id ae_per_visit_mean site_number max_visit_sd max_visit_mean patnum #>    <chr>                <dbl> <chr>              <dbl>          <dbl> <chr>  #>  1 0001                 0.381 0001                2.85           19.9 0001   #>  2 0001                 0.381 0001                2.85           19.9 0001   #>  3 0001                 0.381 0001                2.85           19.9 0001   #>  4 0001                 0.381 0001                2.85           19.9 0001   #>  5 0001                 0.381 0001                2.85           19.9 0001   #>  6 0001                 0.381 0001                2.85           19.9 0001   #>  7 0001                 0.381 0001                2.85           19.9 0001   #>  8 0001                 0.381 0001                2.85           19.9 0001   #>  9 0001                 0.381 0001                2.85           19.9 0001   #> 10 0001                 0.381 0001                2.85           19.9 0001   #> # ℹ 3,736 more rows #> # ℹ 2 more variables: visit <int>, n_ae <int>  df_scen <- sim_ur_scenarios(df_portf,                             extra_ur_sites = 2,                             ur_rate = c(0.5, 1)) #> aggregating site level #> prepping for simulation #> generating scenarios #> getting under-reporting stats #> evaluating stats   df_scen #> # A tibble: 140 × 14 #>    study_id site_number extra_ur_sites frac_pat_with_ur ur_rate n_pat #>    <chr>    <chr>                <dbl>            <dbl>   <dbl> <int> #>  1 0001     0001                     0            0         0      10 #>  2 0001     0001                     0            0.122     0.5    10 #>  3 0001     0001                     0            0.122     1      10 #>  4 0001     0001                     1            0.222     0.5    10 #>  5 0001     0001                     1            0.222     1      10 #>  6 0001     0001                     2            0.322     0.5    10 #>  7 0001     0001                     2            0.322     1      10 #>  8 0001     0002                     0            0         0      10 #>  9 0001     0002                     0            0.104     0.5    10 #> 10 0001     0002                     0            0.104     1      10 #> # ℹ 130 more rows #> # ℹ 8 more variables: n_pat_with_med75 <dbl>, visit_med75 <dbl>, #> #   mean_ae_site_med75 <dbl>, mean_ae_study_med75 <dbl>, #> #   n_pat_with_med75_study <int>, prob_low <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>  df_perf <- get_portf_perf(df_scen)  df_perf #> # A tibble: 27 × 5 #>      fpr thresh extra_ur_sites ur_rate   tpr #>    <dbl>  <dbl>          <dbl>   <dbl> <dbl> #>  1 0.001  0.529              0     0    0.05 #>  2 0.001  0.529              1     0    0.05 #>  3 0.001  0.529              2     0    0.05 #>  4 0.001  0.529              0     0.5  1    #>  5 0.001  0.529              1     0.5  1    #>  6 0.001  0.529              2     0.5  0.95 #>  7 0.001  0.529              0     1    1    #>  8 0.001  0.529              1     1    1    #>  9 0.001  0.529              2     1    1    #> 10 0.01   0.517              0     0    0.05 #> # ℹ 17 more rows # }"},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":null,"dir":"Reference","previous_headings":"","what":"Create simaerep object — simaerep","title":"Create simaerep object — simaerep","text":"Simulate AE -reporting probabilities.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create simaerep object — simaerep","text":"","code":"simaerep(   df_visit,   r = 1000,   check = TRUE,   under_only = TRUE,   visit_med75 = TRUE,   inframe = FALSE,   progress = TRUE,   param_site_aggr = list(method = \"med75_adj\", min_pat_pool = 0.2),   param_sim_sites = list(r = 1000, poisson_test = FALSE, prob_lower = TRUE),   param_eval_sites = list(method = \"BH\"),   env = parent.frame() )"},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create simaerep object — simaerep","text":"df_visit Data frame columns: study_id, site_number, patnum, visit, n_ae. r Integer tbl_object, number repetitions bootstrap simulation. Pass tbl object referring table one column many rows desired repetitions. Default: 1000. check Logical, perform data check attempt repair check_df_visit(). Computationally expensive large data sets. Default: TRUE. under_only Logical, compute -reporting probabilities . Supersedes under_only parameter passed eval_sites() sim_sites(). Default: TRUE. visit_med75 Logical, evaluation point visit_med75 used. Default: TRUE. inframe Logical, table operations used; require visit_med75. Compatible dbplyr supported database backends. progress Logical, display progress bar. Default: TRUE. param_site_aggr List parameters passed site_aggr(). Default: list(method = \"med75_adj\", min_pat_pool = 0.2). param_sim_sites List parameters passed sim_sites(). Default: list(r = 1000, poisson_test = FALSE, prob_lower = TRUE). param_eval_sites List parameters passed eval_sites(). Default: list(method = \"BH\"). env Optional, provide environment original visit data. Default: parent.frame().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create simaerep object — simaerep","text":"simaerep object.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create simaerep object — simaerep","text":"Executes site_aggr(), sim_sites(), eval_sites() original visit data stores intermediate results. Stores lazy reference original visit data facilitated plotting using generic plot(x).","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/simaerep.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create simaerep object — simaerep","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 ) df_visit$study_id <- \"A\" aerep <- simaerep(df_visit) aerep #> simaerep object: #> Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty. #> Plot results using plot() generic. str(aerep) #> List of 11 #>  $ visit           :List of 3 #>   ..$ dim       : int [1:2] 1972 9 #>   ..$ df_summary: tibble [1 × 5] (S3: tbl_df/tbl/data.frame) #>   .. ..$ n_studies : int 1 #>   .. ..$ n_sites   : int 5 #>   .. ..$ n_patients: int 100 #>   .. ..$ n_visits  : int 1972 #>   .. ..$ n_aes     : int 705 #>   ..$ str_call  : chr \"df_visit\" #>   ..- attr(*, \"class\")= chr \"orivisit\" #>  $ df_site         : tibble [5 × 6] (S3: tbl_df/tbl/data.frame) #>   ..$ study_id          : chr [1:5] \"A\" \"A\" \"A\" \"A\" ... #>   ..$ site_number       : chr [1:5] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... #>   ..$ n_pat             : int [1:5] 20 20 20 20 20 #>   ..$ n_pat_with_med75  : num [1:5] 18 18 17 20 16 #>   ..$ visit_med75       : Named num [1:5] 17 15 16 15 16 #>   .. ..- attr(*, \"names\")= chr [1:5] \"80%\" \"80%\" \"80%\" \"80%\" ... #>   ..$ mean_ae_site_med75: num [1:5] 3.11 2.56 8.53 6.4 8.38 #>  $ df_sim_sites    : tibble [5 × 9] (S3: tbl_df/tbl/data.frame) #>   ..$ study_id              : chr [1:5] \"A\" \"A\" \"A\" \"A\" ... #>   ..$ site_number           : chr [1:5] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... #>   ..$ n_pat                 : int [1:5] 20 20 20 20 20 #>   ..$ n_pat_with_med75      : num [1:5] 18 18 17 20 16 #>   ..$ visit_med75           : Named num [1:5] 17 15 16 15 16 #>   .. ..- attr(*, \"names\")= chr [1:5] \"80%\" \"80%\" \"80%\" \"80%\" ... #>   ..$ mean_ae_site_med75    : num [1:5] 3.11 2.56 8.53 6.4 8.38 #>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.21 5.26 5.21 5.34 #>   ..$ n_pat_with_med75_study: int [1:5] 59 72 66 70 67 #>   ..$ prob_low              : num [1:5] 0 0 1 1 1 #>  $ df_eval         : tibble [5 × 11] (S3: tbl_df/tbl/data.frame) #>   ..$ study_id              : chr [1:5] \"A\" \"A\" \"A\" \"A\" ... #>   ..$ site_number           : chr [1:5] \"S0001\" \"S0002\" \"S0003\" \"S0004\" ... #>   ..$ n_pat                 : int [1:5] 20 20 20 20 20 #>   ..$ n_pat_with_med75      : num [1:5] 18 18 17 20 16 #>   ..$ visit_med75           : Named num [1:5] 17 15 16 15 16 #>   .. ..- attr(*, \"names\")= chr [1:5] \"80%\" \"80%\" \"80%\" \"80%\" ... #>   ..$ mean_ae_site_med75    : num [1:5] 3.11 2.56 8.53 6.4 8.38 #>   ..$ mean_ae_study_med75   : num [1:5] 7.03 6.21 5.26 5.21 5.34 #>   ..$ n_pat_with_med75_study: int [1:5] 59 72 66 70 67 #>   ..$ prob_low              : num [1:5] 0 0 1 1 1 #>   ..$ prob_low_adj          : num [1:5] 0 0 1 1 1 #>   ..$ prob_low_prob_ur      : num [1:5] 1 1 0 0 0 #>  $ r               : num 1000 #>  $ visit_med75     : logi TRUE #>  $ inframe         : logi FALSE #>  $ under_only      : logi TRUE #>  $ param_site_aggr :List of 2 #>   ..$ method      : chr \"med75_adj\" #>   ..$ min_pat_pool: num 0.2 #>  $ param_sim_sites :List of 4 #>   ..$ r           : num 1000 #>   ..$ poisson_test: logi FALSE #>   ..$ prob_lower  : logi TRUE #>   ..$ under_only  : logi TRUE #>  $ param_eval_sites:List of 2 #>   ..$ method    : chr \"BH\" #>   ..$ under_only: logi TRUE #>  - attr(*, \"class\")= chr \"simaerep\" # \\donttest{   # In-frame table operations   simaerep(df_visit, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval #> # A tibble: 5 × 13 #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <int>    <dbl> #> 1 A        S0001                       0.183     76    415    20    0     #> 2 A        S0002                       0.186     75    403    20    0     #> 3 A        S0003                       0.496    187    377    20    0.999 #> 4 A        S0004                       0.453    180    397    20    0.987 #> 5 A        S0005                       0.492    187    380    20    0.996 #> # ℹ 6 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, prob_high <dbl>, prob_high_adj <dbl>, #> #   prob_high_prob_or <dbl>   simaerep(df_visit, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval #> # A tibble: 5 × 15 #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <int>    <dbl> #> 1 A        S0001                       0.183     56    306    18    0     #> 2 A        S0002                       0.170     46    270    18    0     #> 3 A        S0003                       0.533    145    272    17    1     #> 4 A        S0004                       0.427    128    300    20    0.892 #> 5 A        S0005                       0.523    134    256    16    0.996 #> # ℹ 8 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, prob_high <dbl>, prob_high_adj <dbl>, #> #   prob_high_prob_or <dbl>, n_pat_with_med75 <dbl>, visit_med75 <dbl>   # Database example   con <- DBI::dbConnect(duckdb::duckdb(), dbdir = \":memory:\")   df_r <- tibble::tibble(rep = seq(1, 1000))   dplyr::copy_to(con, df_visit, \"visit\")   dplyr::copy_to(con, df_r, \"r\")   tbl_visit <- dplyr::tbl(con, \"visit\")   tbl_r <- dplyr::tbl(con, \"r\")   simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval #> # Source:     SQL [5 x 13] #> # Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] #> # Ordered by: study_id, site_number #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> #> 1 A        S0005                       0.492    187    380    20    0.998 #> 2 A        S0003                       0.496    187    377    20    0.998 #> 3 A        S0004                       0.453    180    397    20    0.987 #> 4 A        S0001                       0.183     76    415    20    0     #> 5 A        S0002                       0.186     75    403    20    0     #> # ℹ 6 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, prob_high <dbl>, prob_high_adj <dbl>, #> #   prob_high_prob_or <dbl>   simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval #> # Source:     SQL [5 x 15] #> # Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] #> # Ordered by: study_id, site_number #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> #> 1 A        S0003                       0.533    145    272    17    1     #> 2 A        S0005                       0.523    134    256    16    1     #> 3 A        S0004                       0.427    128    300    20    0.908 #> 4 A        S0002                       0.170     46    270    18    0     #> 5 A        S0001                       0.183     56    306    18    0     #> # ℹ 8 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, prob_high <dbl>, prob_high_adj <dbl>, #> #   prob_high_prob_or <dbl>, n_pat_with_med75 <dbl>, visit_med75 <int>   DBI::dbDisconnect(con) # }"},{"path":"https://openpharma.github.io/simaerep/reference/simaerep_inframe.html","id":null,"dir":"Reference","previous_headings":"","what":"simulate in dataframe — simaerep_inframe","title":"simulate in dataframe — simaerep_inframe","text":"simulate dataframe","code":""},{"path":"https://openpharma.github.io/simaerep/reference/simaerep_inframe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"simulate in dataframe — simaerep_inframe","text":"","code":"simaerep_inframe(   df_visit,   r = 1000,   under_only = FALSE,   visit_med75 = FALSE,   check = TRUE,   param_site_aggr = list(method = \"med75_adj\", min_pat_pool = 0.2),   param_eval_sites = list(method = \"BH\"),   env = parent.frame() )"},{"path":"https://openpharma.github.io/simaerep/reference/simaerep_inframe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"simulate in dataframe — simaerep_inframe","text":"df_visit Data frame columns: study_id, site_number, patnum, visit, n_ae. r Integer tbl_object, number repetitions bootstrap simulation. Pass tbl object referring table one column many rows desired repetitions. Default: 1000. under_only Logical, compute -reporting probabilities . Supersedes under_only parameter passed eval_sites() sim_sites(). Default: TRUE. visit_med75 Logical, evaluation point visit_med75 used. Default: TRUE. check Logical, perform data check attempt repair check_df_visit(). Computationally expensive large data sets. Default: TRUE. param_site_aggr List parameters passed site_aggr(). Default: list(method = \"med75_adj\", min_pat_pool = 0.2). param_eval_sites List parameters passed eval_sites(). Default: list(method = \"BH\"). env Optional, provide environment original visit data. Default: parent.frame().","code":""},{"path":"https://openpharma.github.io/simaerep/reference/simaerep_inframe.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"simulate in dataframe — simaerep_inframe","text":"","code":"df_visit <- sim_test_data_study(  n_pat = 100,  n_sites = 5,  frac_site_with_ur = 0.4,  ur_rate = 0.6 ) df_visit$study_id <- \"A\"  simaerep_inframe(df_visit) #> simaerep object: #> Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty. #> Plot results using plot() generic. simaerep_inframe(df_visit, visit_med75 = TRUE)$df_eval #> # A tibble: 5 × 12 #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <int>    <dbl> #> 1 A        S0001                       0.261     61    234    18    0.006 #> 2 A        S0002                       0.201     61    304    19    0     #> 3 A        S0003                       0.426    116    272    17    0.894 #> 4 A        S0004                       0.489    130    266    19    0.994 #> 5 A        S0005                       0.481    139    289    17    0.989 #> # ℹ 5 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, n_pat_with_med75 <dbl>, visit_med75 <dbl> # \\donttest{ # Database con <- DBI::dbConnect(duckdb::duckdb(), dbdir = \":memory:\") df_r <- tibble::tibble(rep = seq(1, 1000))  dplyr::copy_to(con, df_visit, \"visit\") dplyr::copy_to(con, df_r, \"r\")  tbl_visit <- dplyr::tbl(con, \"visit\") tbl_r <- dplyr::tbl(con, \"r\")  simaerep_inframe(tbl_visit, r = tbl_r)$df_eval #> # Source:     SQL [5 x 10] #> # Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] #> # Ordered by: study_id, site_number #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> #> 1 A        S0003                       0.433    165    381    20    0.821 #> 2 A        S0001                       0.239     84    352    20    0     #> 3 A        S0002                       0.210     83    396    20    0     #> 4 A        S0004                       0.480    184    383    20    0.985 #> 5 A        S0005                       0.470    181    385    20    0.962 #> # ℹ 3 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl> simaerep_inframe(tbl_visit, r = tbl_r, visit_med75 = TRUE)$df_eval #> # Source:     SQL [5 x 12] #> # Database:   DuckDB v1.0.0 [koneswab@Darwin 23.6.0:R 4.4.1/:memory:] #> # Ordered by: study_id, site_number #>   study_id site_number events_per_visit_site events visits n_pat prob_low #>   <chr>    <chr>                       <dbl>  <dbl>  <dbl> <dbl>    <dbl> #> 1 A        S0004                       0.489    130    266    19    0.986 #> 2 A        S0002                       0.201     61    304    19    0     #> 3 A        S0005                       0.481    139    289    17    0.987 #> 4 A        S0003                       0.426    116    272    17    0.894 #> 5 A        S0001                       0.261     61    234    18    0.011 #> # ℹ 5 more variables: events_per_visit_study <dbl>, prob_low_adj <dbl>, #> #   prob_low_prob_ur <dbl>, n_pat_with_med75 <dbl>, visit_med75 <int>  DBI::dbDisconnect(con) # }"},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":null,"dir":"Reference","previous_headings":"","what":"Aggregate from visit to site level. — site_aggr","title":"Aggregate from visit to site level. — site_aggr","text":"Calculates visit_med75, n_pat_with_med75 mean_ae_site_med75","code":""},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Aggregate from visit to site level. — site_aggr","text":"","code":"site_aggr(df_visit, method = \"med75_adj\", min_pat_pool = 0.2, check = TRUE)"},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Aggregate from visit to site level. — site_aggr","text":"df_visit dataframe columns: study_id, site_number, patnum, visit, n_ae method character, one c(\"med75\", \"med75_adj\") defining method defining evaluation point visit_med75 (see details), Default: \"med75_adj\" min_pat_pool, double, minimum ratio available patients available sampling. Determines maximum visit_med75 value see Details. Default: 0.2 check, logical, perform data check attempt repair check_df_visit(), computationally expensive large data sets. Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Aggregate from visit to site level. — site_aggr","text":"dataframe following columns: study_id study identification site_number site identification n_pat number patients, site level visit_med75 adjusted median(max(visit)) * 0.75 see Details n_pat_with_med75 number patients meet visit_med75 criterion, site level mean_ae_site_med75 mean AE visit_med75, site level","code":""},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Aggregate from visit to site level. — site_aggr","text":"determining visit number going evaluate AE reporting take maximum visit patient site take median. multiply 0.75 give us cut-point determining patient evaluated. patients evaluate take minimum maximum visits hence ensuring take highest visit number possible without excluding patients analysis. order ensure sampling pool visit large enough limit visit number 80% quantile maximum visits patients study.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/site_aggr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Aggregate from visit to site level. — site_aggr","text":"","code":"df_visit <- sim_test_data_study(   n_pat = 100,   n_sites = 5,   frac_site_with_ur = 0.4,   ur_rate = 0.6 )  df_visit$study_id <- \"A\"  df_site <- site_aggr(df_visit)  df_site %>%   knitr::kable(digits = 2) #>  #>  #> |study_id |site_number | n_pat| n_pat_with_med75| visit_med75| mean_ae_site_med75| #> |:--------|:-----------|-----:|----------------:|-----------:|------------------:| #> |A        |S0001       |    20|               18|          15|               2.39| #> |A        |S0002       |    20|               19|          13|               2.68| #> |A        |S0003       |    20|               19|          16|               7.74| #> |A        |S0004       |    20|               16|          17|               8.69| #> |A        |S0005       |    20|               16|          18|               8.19|"},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":null,"dir":"Reference","previous_headings":"","what":"Conditional with_progress. — with_progress_cnd","title":"Conditional with_progress. — with_progress_cnd","text":"Internal function. Use instead with_progress within custom functions progress bars.","code":""},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Conditional with_progress. — with_progress_cnd","text":"","code":"with_progress_cnd(ex, progress = TRUE)"},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Conditional with_progress. — with_progress_cnd","text":"ex expression progress logical, Default: TRUE","code":""},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Conditional with_progress. — with_progress_cnd","text":"return value, called side effects","code":""},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Conditional with_progress. — with_progress_cnd","text":"wrapper adds progress parameter with_progress can control progress bar user facing functions. progressbar shows interactive mode.","code":""},{"path":[]},{"path":"https://openpharma.github.io/simaerep/reference/with_progress_cnd.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Conditional with_progress. — with_progress_cnd","text":"","code":"if (interactive()) {   with_progress_cnd(    purrr_bar(rep(0.25, 5), .purrr = purrr::map, .f = Sys.sleep, .steps = 5),    progress = TRUE  )   with_progress_cnd(    purrr_bar(rep(0.25, 5), .purrr = purrr::map, .f = Sys.sleep, .steps = 5),    progress = FALSE  )  # wrap a function with progress bar with another call with progress bar  f1 <- function(x, progress = TRUE) {   with_progress_cnd(     purrr_bar(x, .purrr = purrr::walk, .f = Sys.sleep, .steps = length(x), .progress = progress),     progress = progress   ) }  # inner progress bar blocks outer progress bar progressr::with_progress(   purrr_bar(     rep(rep(1, 3),3), .purrr = purrr::walk, .f = f1, .steps = 3,     .f_args = list(progress = TRUE)   ) )  # inner progress bar turned off progressr::with_progress(   purrr_bar(     rep(list(rep(0.25, 3)), 5), .purrr = purrr::walk, .f = f1, .steps = 5,     .f_args = list(progress = FALSE)   ) ) }"},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-060","dir":"Changelog","previous_headings":"","what":"simaerep 0.6.0","title":"simaerep 0.6.0","text":"inframe method use table operations , use visit_med75 https://github.com/openpharma/simaerep/issues/59 https://github.com/openpharma/simaerep/issues/16 update vignettes","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-050","dir":"Changelog","previous_headings":"","what":"simaerep 0.5.0","title":"simaerep 0.5.0","text":"CRAN release: 2024-04-03 allow flexible AE rates data simulations add vignette comparing simaerep gsm performance add -reporting probability fix dplyr warnings fix warnings around ggplot cowplot https://github.com/openpharma/simaerep/issues/45","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-043","dir":"Changelog","previous_headings":"","what":"simaerep 0.4.3","title":"simaerep 0.4.3","text":"CRAN release: 2023-03-03 delete performance unit tests (poisson faster bootstrap) accommodate CRAN request","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-042","dir":"Changelog","previous_headings":"","what":"simaerep 0.4.2","title":"simaerep 0.4.2","text":"CRAN release: 2023-02-25 CRAN submission","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-041","dir":"Changelog","previous_headings":"","what":"simaerep 0.4.1","title":"simaerep 0.4.1","text":"validation report","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-040","dir":"Changelog","previous_headings":"","what":"simaerep 0.4.0","title":"simaerep 0.4.0","text":"S3 interface #17 better performance specification #26 meaningful unit test names #24 #30 #33","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-033","dir":"Changelog","previous_headings":"","what":"simaerep 0.3.3","title":"simaerep 0.3.3","text":"better data checks error messages #19, #20, # 21 data check repair check_df_visit() became optionable","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-032","dir":"Changelog","previous_headings":"","what":"simaerep 0.3.2","title":"simaerep 0.3.2","text":"added portfolio performance assessment","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-031","dir":"Changelog","previous_headings":"","what":"simaerep 0.3.1","title":"simaerep 0.3.1","text":"changed MIT License holder openpharma F. Hoffmann-La Roche Ltd simaerep authors","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-030","dir":"Changelog","previous_headings":"","what":"simaerep 0.3.0","title":"simaerep 0.3.0","text":"improved evaluation point visit_med75 allow days instead visit","code":""},{"path":"https://openpharma.github.io/simaerep/news/index.html","id":"simaerep-020","dir":"Changelog","previous_headings":"","what":"simaerep 0.2.0","title":"simaerep 0.2.0","text":"use Benjamin Hochberg procedure alpha error correction fix warnings around parallel processing improved SAS files vignette","code":""}]
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 4c5cb11..1d32714 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -1,186 +1,73 @@
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 </urlset>
+
diff --git a/inst/WORDLIST b/inst/WORDLIST
index e4ee4ea..2415cce 100644
--- a/inst/WORDLIST
+++ b/inst/WORDLIST
@@ -1,20 +1,28 @@
 AE
 AEs
+Adyanthaya
 Analytics
 BDBDBD
 BH
 Barmaz
+Boeringer
 Downey's
 Downey’s
+FN
 FP
 Hochberg
 Hoffmann
+Inframe
+Ingelheim
+Innov
 Lifecycle
 Modelling
 Ménard
 RBQM
+Regul
 Saf
 TP
+Ther
 Uncompliant
 Zink
 ae
@@ -24,11 +32,14 @@ al
 analytics
 anonymize
 anonymized
+benjamini
+coMPany
 codecov
 config
 cowplot
 csv
 darkblue
+dbplyr
 df
 doi
 dplyr
@@ -36,6 +47,7 @@ ecd
 ecdf
 et
 eval
+examplary
 fp
 fpr
 frac
@@ -43,7 +55,9 @@ furrr
 ggplot
 grey
 gsm
+hochberg
 infer’
+inframe
 iterable
 iterables
 iteratively
@@ -58,16 +72,20 @@ orivisit
 patnum
 pkgdown
 poisson
+pre
 progressbar
 purrr
 pval
 pvalue
+quALity
+reporducibly
 rmarkdown
 rnorm
 rpois
 sd
 siamerep
-superseeds
+sql
+tbl
 thevalidatoR
 tibble
 tp
@@ -78,3 +96,4 @@ uncompliant
 underdispersion
 ur
 workproduct
+zi
diff --git a/man/figures/README-unnamed-chunk-2-1.png b/man/figures/README-unnamed-chunk-2-1.png
index 688af4b..eda9517 100644
Binary files a/man/figures/README-unnamed-chunk-2-1.png and b/man/figures/README-unnamed-chunk-2-1.png differ
diff --git a/man/max_rank.Rd b/man/max_rank.Rd
new file mode 100644
index 0000000..9e353f8
--- /dev/null
+++ b/man/max_rank.Rd
@@ -0,0 +1,41 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/inframe.R
+\name{max_rank}
+\alias{max_rank}
+\title{Calculate Max Rank}
+\usage{
+max_rank(df, col, col_new)
+}
+\arguments{
+\item{df}{dataframe}
+
+\item{col}{character column name to rank y}
+
+\item{col_new}{character column name for rankings}
+}
+\description{
+like rank() with ties.method = "max", works on tbl objects
+}
+\details{
+this is needed for hochberg p value adjustment. We need to assign higher
+rank when multiple sites have same p value
+}
+\examples{
+
+df <- tibble::tibble(s = c(1, 2, 2, 2, 5, 10)) \%>\%
+ dplyr::mutate(
+   rank = rank(s, ties.method = "max")
+ )
+
+df \%>\%
+ max_rank("s", "max_rank")
+\donttest{
+# Database
+con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+
+dplyr::copy_to(con, df, "df")
+max_rank(dplyr::tbl(con, "df"), "s", "max_rank")
+
+DBI::dbDisconnect(con)
+}
+}
diff --git a/man/p_adjust_bh_inframe.Rd b/man/p_adjust_bh_inframe.Rd
new file mode 100644
index 0000000..f7ff222
--- /dev/null
+++ b/man/p_adjust_bh_inframe.Rd
@@ -0,0 +1,12 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/inframe.R
+\name{p_adjust_bh_inframe}
+\alias{p_adjust_bh_inframe}
+\title{benjamini hochberg p value correction using table operations}
+\usage{
+p_adjust_bh_inframe(df_eval, col, suffix)
+}
+\description{
+benjamini hochberg p value correction using table operations
+}
+\keyword{internal}
diff --git a/man/prune_to_visit_med75_inframe.Rd b/man/prune_to_visit_med75_inframe.Rd
new file mode 100644
index 0000000..2a82d9b
--- /dev/null
+++ b/man/prune_to_visit_med75_inframe.Rd
@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/inframe.R
+\name{prune_to_visit_med75_inframe}
+\alias{prune_to_visit_med75_inframe}
+\title{prune visits to visit_med75 using table operations}
+\usage{
+prune_to_visit_med75_inframe(df_visit, df_site)
+}
+\arguments{
+\item{df_visit}{Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.}
+
+\item{df_site}{dataframe, as returned by \code{\link[=site_aggr]{site_aggr()}}}
+}
+\description{
+prune visits to visit_med75 using table operations
+}
+\keyword{internal}
diff --git a/man/sim_inframe.Rd b/man/sim_inframe.Rd
new file mode 100644
index 0000000..4649367
--- /dev/null
+++ b/man/sim_inframe.Rd
@@ -0,0 +1,35 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/inframe.R
+\name{sim_inframe}
+\alias{sim_inframe}
+\title{Calculate prob_lower for study sites using table operations}
+\usage{
+sim_inframe(df_visit, r = 1000, df_site = NULL)
+}
+\arguments{
+\item{df_visit}{Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.}
+
+\item{r}{Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.}
+
+\item{df_site, }{dataframe as returned be \code{\link[=site_aggr]{site_aggr()}}, Will switch to visit_med75.
+Default: NULL}
+}
+\description{
+Calculate prob_lower for study sites using table operations
+}
+\examples{
+df_visit <- sim_test_data_study(
+  n_pat = 100,
+  n_sites = 5,
+  frac_site_with_ur = 0.4,
+  ur_rate = 0.6
+)
+df_visit$study_id <- "A"
+
+df_sim <- sim_inframe(df_visit)
+df_eval <- eval_sites(df_sim)
+df_eval
+}
diff --git a/man/sim_ur.Rd b/man/sim_ur.Rd
new file mode 100644
index 0000000..295c5e0
--- /dev/null
+++ b/man/sim_ur.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/simulate_test_data.R
+\name{sim_ur}
+\alias{sim_ur}
+\title{simulate under-reporting}
+\usage{
+sim_ur(df_visit, study_id, site_number, ur_rate)
+}
+\arguments{
+\item{df_visit, }{dataframe}
+
+\item{study_id, }{character}
+
+\item{site_number, }{character}
+
+\item{ur_rate, }{double}
+}
+\description{
+we remove a fraction of AEs from a specific site
+}
+\details{
+we determine the absolute number of AEs per patient for removal.
+Then them remove them at the first visit.
+We intentionally allow fractions
+}
+\examples{
+df_visit <- sim_test_data_study(n_pat = 100, n_sites = 10,
+                                 frac_site_with_ur = 0.4, ur_rate = 0.6)
+
+df_visit$study_id <- "A"
+
+df_ur <- sim_ur(df_visit, "A", site_number = "S0001", ur_rate = 0.35)
+
+# Example cumulated AE for first patient with 35\% under-reporting
+df_ur[df_ur$site_number == "S0001" & df_ur$patnum == "P000001",]$n_ae
+
+# Example cumulated AE for first patient with no under-reporting
+df_visit[df_visit$site_number == "S0001" & df_visit$patnum == "P000001",]$n_ae
+
+}
diff --git a/man/sim_ur_scenarios.Rd b/man/sim_ur_scenarios.Rd
index 64a972f..963e811 100644
--- a/man/sim_ur_scenarios.Rd
+++ b/man/sim_ur_scenarios.Rd
@@ -14,7 +14,8 @@ sim_ur_scenarios(
   parallel = FALSE,
   progress = TRUE,
   site_aggr_args = list(),
-  eval_sites_args = list()
+  eval_sites_args = list(),
+  check = TRUE
 )
 }
 \arguments{
@@ -41,6 +42,8 @@ Default: c(0.25, 0.5)}
 
 \item{eval_sites_args}{named list of parameters passed to
 \code{\link{eval_sites}}, Default: list()}
+
+\item{check}{logical, perform data check and attempt repair with}
 }
 \value{
 dataframe with the following columns:
diff --git a/man/simaerep.Rd b/man/simaerep.Rd
index b291927..2a69c60 100644
--- a/man/simaerep.Rd
+++ b/man/simaerep.Rd
@@ -2,76 +2,100 @@
 % Please edit documentation in R/S3_simaerep.R
 \name{simaerep}
 \alias{simaerep}
-\title{create simaerep object}
+\title{Create simaerep object}
 \usage{
 simaerep(
   df_visit,
+  r = 1000,
+  check = TRUE,
+  under_only = TRUE,
+  visit_med75 = TRUE,
+  inframe = FALSE,
+  progress = TRUE,
   param_site_aggr = list(method = "med75_adj", min_pat_pool = 0.2),
   param_sim_sites = list(r = 1000, poisson_test = FALSE, prob_lower = TRUE),
   param_eval_sites = list(method = "BH"),
-  progress = TRUE,
-  check = TRUE,
-  env = parent.frame(),
-  under_only = TRUE
+  env = parent.frame()
 )
 }
 \arguments{
-\item{df_visit}{data frame with columns: study_id, site_number, patnum, visit,
-n_ae}
+\item{df_visit}{Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.}
 
-\item{param_site_aggr}{list of parameters passed to \link[=site_aggr]{site_aggr()},
-Default: list(method = "med75_adj", min_pat_pool = 0.2)}
+\item{r}{Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.}
 
-\item{param_sim_sites}{list of parameters passed to \link[=sim_sites]{sim_sites()},
-Default: list(r = 1000, poisson_test = FALSE, prob_lower = TRUE)}
+\item{check}{Logical, perform data check and attempt repair with
+\code{\link[=check_df_visit]{check_df_visit()}}. Computationally expensive on large data sets. Default:
+TRUE.}
 
-\item{param_eval_sites}{list of parameters passed to
-\link[=eval_sites]{eval_sites()}, Default: list(method = "BH")}
+\item{under_only}{Logical, compute under-reporting probabilities only.
+Supersedes under_only parameter passed to \code{\link[=eval_sites]{eval_sites()}} and \code{\link[=sim_sites]{sim_sites()}}.
+Default: TRUE.}
 
-\item{progress}{logical, display progress bar, Default = TRUE}
+\item{visit_med75}{Logical, should evaluation point visit_med75 be used.
+Default: TRUE.}
 
-\item{check}{logical, perform data check and attempt repair with
-\link[=check_df_visit]{check_df_visit()}, computationally expensive on large data
-sets. Default: TRUE}
+\item{inframe}{Logical, only table operations to be used; does not require
+visit_med75. Compatible with dbplyr supported database backends.}
 
-\item{env}{optional, provide environment of original visit data, Default:
-parent.frame()}
+\item{progress}{Logical, display progress bar. Default: TRUE.}
 
-\item{under_only, }{logical compute under-reporting probabilities only,
-superseeds under_only parameter passed to \link[=eval_sites]{eval_sites()} and
-\link[=sim_sites]{sim_sites()}, Default: TRUE}
+\item{param_site_aggr}{List of parameters passed to \code{\link[=site_aggr]{site_aggr()}}. Default:
+list(method = "med75_adj", min_pat_pool = 0.2).}
+
+\item{param_sim_sites}{List of parameters passed to \code{\link[=sim_sites]{sim_sites()}}. Default:
+list(r = 1000, poisson_test = FALSE, prob_lower = TRUE).}
+
+\item{param_eval_sites}{List of parameters passed to \code{\link[=eval_sites]{eval_sites()}}. Default:
+list(method = "BH").}
+
+\item{env}{Optional, provide environment of original visit data. Default:
+parent.frame().}
 }
 \value{
-simaerep object
+A simaerep object.
 }
 \description{
-simulate AE under-reporting probabilities
+Simulate AE under-reporting probabilities.
 }
 \details{
-executes \link[=site_aggr]{site_aggr()}, \link[=sim_sites]{sim_sites()} and
-\link[=eval_sites]{eval_sites()} on original visit data and stores all
-intermediate results. Stores lazy reference to original visit data for
-facilitated plotting using generic plot(x).
+Executes \code{\link[=site_aggr]{site_aggr()}}, \code{\link[=sim_sites]{sim_sites()}}, and \code{\link[=eval_sites]{eval_sites()}} on original
+visit data and stores all intermediate results. Stores lazy reference to
+original visit data for facilitated plotting using generic plot(x).
 }
 \examples{
-
 df_visit <- sim_test_data_study(
   n_pat = 100,
   n_sites = 5,
   frac_site_with_ur = 0.4,
   ur_rate = 0.6
 )
-
 df_visit$study_id <- "A"
-
 aerep <- simaerep(df_visit)
-
 aerep
-
 str(aerep)
-
+\donttest{
+  # In-frame table operations
+  simaerep(df_visit, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval
+  simaerep(df_visit, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval
+  # Database example
+  con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+  df_r <- tibble::tibble(rep = seq(1, 1000))
+  dplyr::copy_to(con, df_visit, "visit")
+  dplyr::copy_to(con, df_r, "r")
+  tbl_visit <- dplyr::tbl(con, "visit")
+  tbl_r <- dplyr::tbl(con, "r")
+  simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = FALSE, under_only = FALSE)$df_eval
+  simaerep(tbl_visit, r = tbl_r, inframe = TRUE, visit_med75 = TRUE, under_only = FALSE)$df_eval
+  DBI::dbDisconnect(con)
+}
 }
 \seealso{
+\code{\link[=site_aggr]{site_aggr()}}, \code{\link[=sim_sites]{sim_sites()}}, \code{\link[=eval_sites]{eval_sites()}}, \code{\link[=orivisit]{orivisit()}},
+\code{\link[=plot.simaerep]{plot.simaerep()}}
+
 \link[=site_aggr]{site_aggr()}, \link[=sim_sites]{sim_sites()},
 \link[=eval_sites]{eval_sites()}, \link[=orivisit]{orivisit()},
 \link[=plot.simaerep]{plot.simaerep()}
diff --git a/man/simaerep_inframe.Rd b/man/simaerep_inframe.Rd
new file mode 100644
index 0000000..aebd3e0
--- /dev/null
+++ b/man/simaerep_inframe.Rd
@@ -0,0 +1,77 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/S3_simaerep.R
+\name{simaerep_inframe}
+\alias{simaerep_inframe}
+\title{simulate in dataframe}
+\usage{
+simaerep_inframe(
+  df_visit,
+  r = 1000,
+  under_only = FALSE,
+  visit_med75 = FALSE,
+  check = TRUE,
+  param_site_aggr = list(method = "med75_adj", min_pat_pool = 0.2),
+  param_eval_sites = list(method = "BH"),
+  env = parent.frame()
+)
+}
+\arguments{
+\item{df_visit}{Data frame with columns: study_id, site_number, patnum, visit,
+n_ae.}
+
+\item{r}{Integer or tbl_object, number of repetitions for bootstrap
+simulation. Pass a tbl object referring to a table with one column and as
+many rows as desired repetitions. Default: 1000.}
+
+\item{under_only}{Logical, compute under-reporting probabilities only.
+Supersedes under_only parameter passed to \code{\link[=eval_sites]{eval_sites()}} and \code{\link[=sim_sites]{sim_sites()}}.
+Default: TRUE.}
+
+\item{visit_med75}{Logical, should evaluation point visit_med75 be used.
+Default: TRUE.}
+
+\item{check}{Logical, perform data check and attempt repair with
+\code{\link[=check_df_visit]{check_df_visit()}}. Computationally expensive on large data sets. Default:
+TRUE.}
+
+\item{param_site_aggr}{List of parameters passed to \code{\link[=site_aggr]{site_aggr()}}. Default:
+list(method = "med75_adj", min_pat_pool = 0.2).}
+
+\item{param_eval_sites}{List of parameters passed to \code{\link[=eval_sites]{eval_sites()}}. Default:
+list(method = "BH").}
+
+\item{env}{Optional, provide environment of original visit data. Default:
+parent.frame().}
+}
+\description{
+simulate in dataframe
+}
+\examples{
+df_visit <- sim_test_data_study(
+ n_pat = 100,
+ n_sites = 5,
+ frac_site_with_ur = 0.4,
+ ur_rate = 0.6
+)
+df_visit$study_id <- "A"
+
+simaerep_inframe(df_visit)
+simaerep_inframe(df_visit, visit_med75 = TRUE)$df_eval
+\donttest{
+# Database
+con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+df_r <- tibble::tibble(rep = seq(1, 1000))
+
+dplyr::copy_to(con, df_visit, "visit")
+dplyr::copy_to(con, df_r, "r")
+
+tbl_visit <- dplyr::tbl(con, "visit")
+tbl_r <- dplyr::tbl(con, "r")
+
+simaerep_inframe(tbl_visit, r = tbl_r)$df_eval
+simaerep_inframe(tbl_visit, r = tbl_r, visit_med75 = TRUE)$df_eval
+
+DBI::dbDisconnect(con)
+}
+}
+\keyword{internal}
diff --git a/tests/testthat/_snaps/S3_simaerep.md b/tests/testthat/_snaps/S3_simaerep.md
index 146d15b..081d469 100644
--- a/tests/testthat/_snaps/S3_simaerep.md
+++ b/tests/testthat/_snaps/S3_simaerep.md
@@ -4,6 +4,6 @@
       print(aerep_test)
     Output
       simaerep object:
-      Check aerep$df_eval prob_low_prob_ur column for AE under-reporting probabilites.
+      Check aerep$df_eval prob_low_prob_ur column for under-reporting probabililty.
       Plot results using plot() generic.
 
diff --git a/tests/testthat/_snaps/eval_sites.md b/tests/testthat/_snaps/eval_sites.md
index a446ccd..2edd990 100644
--- a/tests/testthat/_snaps/eval_sites.md
+++ b/tests/testthat/_snaps/eval_sites.md
@@ -3,16 +3,18 @@
     Code
       df_eval <- eval_sites(df_sim_sites, r_sim_sites = 100)
     Condition
-      Warning in `eval_sites()`:
+      Warning in `warning_na()`:
       
-      study_id: C, site_number: a. pval == NA
-      study_id: C, site_number: b. pval == NA
-      study_id: C, site_number: c. pval == NA
-      Warning in `eval_sites()`:
+      study_id: C, site_number: a, pval== NA
       
-      study_id: C, site_number: a, prob_low == NA
+      study_id: C, site_number: b, pval== NA
       
-      study_id: C, site_number: b, prob_low == NA
+      study_id: C, site_number: c, pval== NA
+      Warning in `warning_na()`:
       
-      study_id: C, site_number: c, prob_low == NA
+      study_id: C, site_number: a, prob_low== NA
+      
+      study_id: C, site_number: b, prob_low== NA
+      
+      study_id: C, site_number: c, prob_low== NA
 
diff --git a/tests/testthat/_snaps/validation/study-025.svg b/tests/testthat/_snaps/validation/study-025.svg
index 9ebbb19..14a03db 100644
--- a/tests/testthat/_snaps/validation/study-025.svg
+++ b/tests/testthat/_snaps/validation/study-025.svg
@@ -89,13 +89,12 @@
 <polyline points='54.92,504.75 70.77,482.87 86.63,455.52 102.48,439.11 118.33,422.69 134.18,406.28 150.03,406.28 165.88,384.40 181.74,357.05 197.59,329.69 213.44,318.75 229.29,285.93 245.14,274.99 260.99,264.04 276.85,247.63 292.70,231.22 ' style='stroke-width: 2.13; stroke: #6BAED6; stroke-linecap: butt;' />
 <polyline points='54.92,502.02 70.77,489.71 86.63,477.40 102.48,471.25 118.33,440.47 134.18,428.17 150.03,415.86 165.88,391.24 181.74,378.93 197.59,348.16 213.44,323.54 229.29,311.23 245.14,280.46 260.99,261.99 276.85,249.68 292.70,225.07 308.55,212.76 324.40,200.45 340.25,188.14 ' style='stroke-width: 2.13; stroke: #6BAED6; stroke-linecap: butt;' />
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+<polyline points='54.92,502.27 70.77,474.94 86.63,453.52 102.48,433.09 118.33,412.16 134.18,387.79 150.03,367.60 165.88,345.45 181.74,325.51 197.59,305.94 213.44,284.48 229.29,262.09 245.14,241.17 260.99,218.91 276.85,192.99 292.70,169.75 ' style='stroke-width: 2.13; stroke: #CDAD00; stroke-opacity: 0.50; stroke-linecap: butt;' />
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 <circle cx='276.85' cy='247.63' r='1.95' style='stroke-width: 0.71; stroke: #BEBEBE; fill: #BEBEBE;' />
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 </g>
 <g clip-path='url(#cpMC4wMHw3MjAuMDB8MC4wMHw1NzYuMDA=)'>
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@@ -153,7 +152,7 @@
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@@ -298,7 +297,7 @@
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diff --git a/tests/testthat/test_S3_simaerep.R b/tests/testthat/test_S3_simaerep.R
index 5d110e4..7a59881 100644
--- a/tests/testthat/test_S3_simaerep.R
+++ b/tests/testthat/test_S3_simaerep.R
@@ -10,16 +10,66 @@ test_that("is_simaerep returns TRUE", {
 })
 
 test_that("simaerep must retrieve original visit data from parent environment", {
-  df_vs_env <- as.data.frame(aerep_test$visit)
+  aerep_new <- simaerep(df_visit_test, inframe = FALSE, visit_med75 = TRUE)
+  df_vs_env <- as.data.frame(aerep_new$visit)
+  expect_equal(df_vs_env, df_visit_test)
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)
+  df_vs_env <- as.data.frame(aerep_new$visit)
+  expect_equal(df_vs_env, df_visit_test)
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)
+  df_vs_env <- as.data.frame(aerep_new$visit)
   expect_equal(df_vs_env, df_visit_test)
 })
 
+test_that("simaerep - original dataframe unretrievable when called with slice", {
+  aerep_new <- simaerep(
+    df_visit_test[df_visit_test$site_number != "S0001", ],
+    inframe = FALSE,
+    visit_med75 = TRUE
+  )
+
+  expect_error(as.data.frame(aerep_new$visit), "Could not find original visit data")
+
+  aerep_new <- simaerep(
+    df_visit_test[df_visit_test$site_number != "S0001", ],
+    inframe = TRUE,
+    visit_med75 = TRUE
+  )
+
+  expect_error(as.data.frame(aerep_new$visit), "Could not find original visit data")
+
+  aerep_new <- simaerep(
+    df_visit_test[df_visit_test$site_number != "S0001", ],
+    inframe = TRUE,
+    visit_med75 = FALSE
+  )
+
+  expect_error(as.data.frame(aerep_new$visit), "Could not find original visit data")
+})
+
+
 test_that("plot.simaerep with what='ur'", {
-  expect_s3_class(plot(aerep_test, what = "ur", study = "A"), "ggplot")
+  aerep_new <- simaerep(df_visit_test, inframe = FALSE, visit_med75 = TRUE)
+  expect_s3_class(plot(aerep_new, what = "ur", study = "A"), "ggplot")
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)
+  expect_s3_class(plot(aerep_new, what = "ur", study = "A"), "ggplot")
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)
+  expect_s3_class(plot(aerep_new, what = "ur", study = "A"), "ggplot")
 })
 
 test_that("plot.simaerep with what='med75'", {
-  expect_s3_class(plot(aerep_test, what = "med75", study = "A", verbose = FALSE), "ggplot")
+  aerep_new <- simaerep(df_visit_test, inframe = FALSE, visit_med75 = TRUE)
+  expect_s3_class(plot(aerep_new, what = "med75", study = "A", verbose = FALSE), "ggplot")
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)
+  expect_s3_class(plot(aerep_new, what = "med75", study = "A", verbose = FALSE), "ggplot")
+
+  aerep_new <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)
+  expect_s3_class(plot(aerep_new, what = "med75", study = "A", verbose = FALSE), "ggplot")
 })
 
 
diff --git a/tests/testthat/test_check_df_visit.R b/tests/testthat/test_check_df_visit.R
index 3e6cb52..ede601e 100644
--- a/tests/testthat/test_check_df_visit.R
+++ b/tests/testthat/test_check_df_visit.R
@@ -27,7 +27,7 @@ test_that("check_df_visit() must thrown an error when n_ae and visit columns are
       mutate_at(vars(n_ae, visit), as.character) %>%
       check_df_visit()
   },
-  regexp = "n_ae and vist columns must be numeric"
+  regexp = "n_ae and visit columns must be numeric"
   )
 })
 
diff --git a/tests/testthat/test_data.R b/tests/testthat/test_data.R
index 78b5a3b..fde64e5 100644
--- a/tests/testthat/test_data.R
+++ b/tests/testthat/test_data.R
@@ -2,13 +2,17 @@
 
 test_that("check S3 test data reproducibility", {
   aerep_check <- simaerep(
+    r = 100,
     df_visit_test,
     param_sim_sites = list(
       r = 100
     )
   )
 
-  expect_equal(aerep_check, aerep_test)
+  aerep_test$df_eval <- arrange(aerep_test$df_eval, study_id, site_number)
+
+  expect_equal(aerep_check$df_sim_sites, aerep_test$df_sim_sites)
+  expect_equal(aerep_check$df_eval, aerep_test$df_eval)
 
   visit_check <- orivisit(df_visit_test)
 
@@ -38,6 +42,7 @@ test_that("check standard test data reproducibility", {
   df_visit_check <- dplyr::bind_rows(df_visit1, df_visit2)
 
   aerep <- simaerep(
+    r = 100,
     df_visit_check,
     param_sim_sites = list(
       poisson_test = TRUE,
@@ -48,7 +53,7 @@ test_that("check standard test data reproducibility", {
   expect_equal(df_visit_test, df_visit_check)
   expect_equal(df_site_test, aerep$df_site)
   expect_equal(df_sim_sites_test, aerep$df_sim_sites)
-  expect_equal(df_eval_test, aerep$df_eval)
+  expect_equal(arrange(df_eval_test, study_id, site_number), aerep$df_eval)
 
 })
 
@@ -88,6 +93,104 @@ test_that("check portfolio performance test data reproducibility", {
   expect_equal(df_site_max_test, df_site_max_check)
   expect_equal(df_config_test, df_config_check)
   expect_equal(df_portf_test, df_portf_check)
-  expect_equal(df_scen_test, df_scen_check)
-  expect_equal(df_perf_test, df_perf_check)
+
+  # we have fixed a mistake in sim_ur_scenarios therefore
+  # the results have diverged and will not match anyomore
+  # at this point we do not want to update the test data
+  # to demonstrate consistency over major releases
+
+  # expect_equal(df_scen_test, df_scen_check) #nolint
+  # expect_equal(df_perf_test, df_perf_check) #nolint
+})
+
+
+test_that("sim_ur() ae_count as expected for max patient visits", {
+
+  n_ae_test <- df_visit_test %>%
+    filter(visit == max(visit), .by = c("study_id", "site_number", "patnum")) %>%
+    filter(site_number == "S0001", study_id == "A") %>%
+    pull(n_ae) %>%
+    sum()
+
+  n_ae_0p5 <- df_visit_test %>%
+    sim_ur(study_id = "A", site_number = "S0001", ur_rate = 0.5) %>%
+    filter(visit == max(visit), .by = c("study_id", "site_number", "patnum")) %>%
+    filter(site_number == "S0001", study_id == "A") %>%
+    pull(n_ae) %>%
+    sum()
+
+  expect_true(n_ae_test == n_ae_0p5 * 2)
+
+})
+
+
+test_that("sim_ur() and sim_ur_scenario() must give similar results", {
+
+  df_sim_ur_scenarios <- sim_ur_scenarios(
+      df_visit_test,
+      extra_ur_sites = 0,
+      ur_rate = c(0.5, 1),
+      parallel = FALSE,
+      poisson = FALSE,
+      prob_lower = TRUE,
+      progress = FALSE,
+      check = FALSE,
+      site_aggr_args = list(method = "med75_adj")
+    ) %>%
+    arrange(study_id, site_number, ur_rate)
+
+  # sim_ur -------------------------------------
+
+  perf <- function(df_visit, study_id, site_number, ur_rate) {
+    df_vs_study <- df_visit %>%
+      sim_ur(study_id, site_number, ur_rate)
+
+    df_vs_study %>%
+      simaerep(under_only = TRUE, progress = FALSE, check = FALSE) %>%
+      .$df_eval %>%
+      filter(.data$site_number == .env$site_number)
+  }
+
+  df_grid <- df_visit_test %>%
+    distinct(study_id, site_number) %>%
+    mutate(ur_rate = list(c(0, 0.5, 1))) %>%
+    unnest(ur_rate)
+
+  df_sim_ur <- df_grid %>%
+    mutate(
+      perf = purrr::pmap(
+        list(study_id, site_number, ur_rate),
+        function(x, y, z) perf(df_visit_test, x, y, z)
+      )
+    ) %>%
+    select(- study_id, - site_number) %>%
+    unnest(perf) %>%
+    arrange(study_id, site_number, ur_rate)
+
+  # compare ------------------------------------
+
+  cols_equal <- c(
+    "study_id",
+    "site_number",
+    "ur_rate",
+    "visit_med75",
+    "n_pat_with_med75",
+    "mean_ae_study_med75"
+  )
+
+  expect_equal(
+    df_sim_ur_scenarios[, cols_equal],
+    df_sim_ur[, cols_equal]
+  )
+
+  # sim_ur calculates the number of AEs to be removed based
+  # on tha latest visit of each patient and removes them from
+  # the beginning. This can give smaller AE counts than removing
+  # a fraction of AEs from visit_med75.
+
+  expect_true(all(
+    round(df_sim_ur$mean_ae_site_med75, 5) <=
+    round(df_sim_ur_scenarios$mean_ae_site_med75, 5)
+  ))
+
 })
diff --git a/tests/testthat/test_inframe.R b/tests/testthat/test_inframe.R
new file mode 100644
index 0000000..bdfa112
--- /dev/null
+++ b/tests/testthat/test_inframe.R
@@ -0,0 +1,219 @@
+# test data is automatically loaded, check ./data-raw/generate_test_data.R
+
+test_that("inframe with and w/0 visit_med75 and default algorithm must flag same sites", {
+
+  df_eval_med75 <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)$df_eval
+  df_eval <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)$df_eval
+
+  expect_equal(
+    arrange(df_eval_test, study_id, site_number)$visit_med75,
+    df_eval_med75$visit_med75
+  )
+
+  expect_equal(
+    arrange(df_eval_test, study_id, site_number)$n_pat_with_med75,
+    df_eval_med75$n_pat_with_med75
+  )
+
+  expect_equal(
+    df_eval_med75 %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    df_eval_test %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+  expect_equal(
+    df_eval %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    df_eval_test %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+})
+
+test_that("inframe with visit_med75 same probabilities as default algorithm, tolerance 0.1", {
+  df_eval_inframe <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)$df_eval
+  df_eval_default <- simaerep(df_visit_test, inframe = FALSE, visit_med75 = TRUE, under_only = FALSE)$df_eval
+
+  df_eval_inframe <- df_eval_inframe %>%
+    mutate(
+      mean_ae_site_med75 = events / n_pat_with_med75
+    )
+
+  cols_equal <- c(
+    "study_id",
+    "site_number",
+    "visit_med75",
+    "n_pat_with_med75",
+    "mean_ae_site_med75"
+  )
+
+  expect_equal(df_eval_inframe[, cols_equal], df_eval_default[, cols_equal])
+
+  expect_true(
+    all(near(
+      df_eval_inframe$prob_low,
+      df_eval_default$prob_low,
+      0.1
+    ))
+  )
+
+  expect_true(
+    all(near(
+      df_eval_inframe$prob_low_prob_ur,
+      df_eval_default$prob_low_prob_ur,
+      0.1
+    ))
+  )
+
+})
+
+
+test_that("simaerep_inframe and simaerep_visit_med75 must have similar results", {
+
+  df_eval_med75 <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)$df_eval
+  df_eval <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)$df_eval
+
+  expect_equal(
+    arrange(df_eval_test, study_id, site_number)$visit_med75,
+    df_eval_med75$visit_med75
+  )
+
+  expect_equal(
+    arrange(df_eval_test, study_id, site_number)$n_pat_with_med75,
+    df_eval_med75$n_pat_with_med75
+  )
+
+  expect_equal(
+    df_eval_med75 %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    df_eval_test %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+  expect_equal(
+    df_eval %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    df_eval_test %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+})
+
+
+test_that("simaerep_inframe must have identical counts and flags with duckdb backend", {
+
+  df_eval_med75 <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = TRUE)$df_eval
+  df_eval <- simaerep(df_visit_test, inframe = TRUE, visit_med75 = FALSE)$df_eval
+
+  con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+  df_r <- tibble(rep = seq(1, 1000))
+
+  dplyr::copy_to(con, df_visit_test, "visit")
+  dplyr::copy_to(con, df_r, "r")
+
+  tbl_visit <- tbl(con, "visit")
+  tbl_r <- tbl(con, "r")
+
+  tbl_eval <- simaerep(tbl_visit, r = tbl_r, visit_med75 = FALSE)$df_eval
+  tbl_eval_med75 <- simaerep(tbl_visit, r = tbl_r, visit_med75 = TRUE)$df_eval
+
+  cols_identical <- c("study_id", "site_number", "events", "visits", "events_per_visit_site")
+
+  expect_equal(
+    df_eval %>%
+      select(all_of(cols_identical)),
+    tbl_eval %>%
+      dplyr::collect() %>%
+      arrange(study_id, site_number) %>%
+      select(all_of(cols_identical))
+  )
+
+  expect_equal(
+    df_eval_med75 %>%
+      select(all_of(cols_identical)),
+    tbl_eval_med75 %>%
+      dplyr::collect() %>%
+      arrange(study_id, site_number) %>%
+      select(all_of(cols_identical))
+  )
+
+  expect_equal(
+    df_eval_med75 %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    tbl_eval_med75 %>%
+      dplyr::collect() %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+  expect_equal(
+    df_eval %>%
+      filter(prob_low_prob_ur >= 0.95) %>%
+      pull(site_number),
+    tbl_eval %>%
+      dplyr::collect() %>%
+      arrange(study_id, site_number) %>%
+      filter(prob_low_prob_ur >= 0.95)  %>%
+      pull(site_number)
+  )
+
+  DBI::dbDisconnect(con)
+
+})
+
+test_that("p.adjust result near p_adjust_bh_inframe", {
+  x <- rnorm(50, mean = c(rep(0, 500), rep(3, 500)))
+  p <- 2 * pnorm(sort(-abs(x)))
+
+  df <- tibble(
+      study_id = "A",
+      p = p
+    ) %>%
+    mutate(
+      pbase = p.adjust(p, method = "BH")
+    ) %>%
+    p_adjust_bh_inframe("p", "_simaerep")
+
+  expect_true(all(near(df$pbase, df$p_adj, 5)))
+
+})
+
+test_that("p.adjust result near p_adjust_bh_inframe with duckdb", {
+  x <- rnorm(50, mean = c(rep(0, 500), rep(3, 500)))
+  p <- 2 * pnorm(sort(-abs(x)))
+
+  df <- tibble(
+    study_id = "A",
+    p = p
+  ) %>%
+    mutate(
+      pbase = p.adjust(p, method = "BH")
+    )
+
+  con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+  dplyr::copy_to(con, df, "df")
+  tbl_df <- dplyr::tbl(con, "df")
+
+  tbl_df <- tbl_df %>%
+    p_adjust_bh_inframe("p", "_simaerep")
+
+  df <- collect(tbl_df)
+
+  expect_true(all(near(df$pbase, df$p_adj, 5)))
+
+})
diff --git a/tests/testthat/test_site_aggr.R b/tests/testthat/test_site_aggr.R
index 7eb59e8..a150307 100644
--- a/tests/testthat/test_site_aggr.R
+++ b/tests/testthat/test_site_aggr.R
@@ -27,7 +27,7 @@ test_that("site_aggr() must return different results for method = 'med75_adj' an
   df_site_old <- site_aggr(df_visit_test, method = "med75")
 
   expect_false(identical(df_site_adj, df_site_old))
-  expect_true(identical(df_site_adj, df_site_test))
+  expect_equal(df_site_adj, df_site_test)
 })
 
 
diff --git a/vignettes/_portfolio_perf.Rmd b/vignettes/_portfolio_perf.Rmd
index cd2c7db..49468ca 100644
--- a/vignettes/_portfolio_perf.Rmd
+++ b/vignettes/_portfolio_perf.Rmd
@@ -26,7 +26,7 @@ suppressPackageStartupMessages(library(simaerep))
 
 # RAM ~26 GB
 # plan 4GB per core
-plan(multisession, workers = 6)
+plan(multisession, workers = 4)
 ```
 
 # Introduction
@@ -38,7 +38,7 @@ We want to define minimal requirements for simulating test data that reflects re
 These simulations take some time to run and require multiple cores and appropriate memory. Rendering articles in {pkgdown} can be a bit unstable so we recommend to render first using pure {rmarkdown} to generate the intermediate csv files.
 
 ```{r perf, eval = FALSE}
-rmarkdown::render("vignettes/_portfolio_perf.Rmd", knit_root_dir = "/home/koneswab/simaerep")
+rmarkdown::render("vignettes/_portfolio_perf.Rmd", knit_root_dir = paste0(getwd(), "/vignettes"))
 ```
 
 
@@ -484,12 +484,15 @@ wr <- function(df) {
                                parallel = FALSE,
                                poisson = TRUE,
                                prob_lower = TRUE,
-                               progress = FALSE)
+                               progress = FALSE,
+                               check = FALSE)
   return(df_scen)
 }
 
 df_prep <- df_config %>%
   select(- max_visit_sd, - max_visit_mean, - ae_per_visit_mean) %>%
+  # we exclude studies running on average over 5 years
+  filter(mean(max_days_mean) <= 5 * 365, .by = study_id) %>%
   rename(max_visit_sd = max_days_sd,
          max_visit_mean = max_days_mean,
          ae_per_visit_mean = ae_per_day_mean) %>%
diff --git a/vignettes/gsm_perf.Rmd b/vignettes/funnel_perf.Rmd
similarity index 55%
rename from vignettes/gsm_perf.Rmd
rename to vignettes/funnel_perf.Rmd
index 0de56d7..8d5fbb4 100644
--- a/vignettes/gsm_perf.Rmd
+++ b/vignettes/funnel_perf.Rmd
@@ -1,5 +1,5 @@
 ---
-title: "Comparing {simaerep} and {gsm} Performance"
+title: "Comparing {simaerep} and Funnel Plot Performance"
 output:
   html_document:
     toc: true
@@ -30,7 +30,7 @@ plan(multisession, workers = 6)
 # Install {gsm}
 
 ```{r eval = FALSE}
-devtools::install_github("Gilead-BioStats/gsm", ref = "main")
+devtools::install_github("Gilead-BioStats/gsm@v1.9.2", ref = "main")
 ```
 
 
@@ -119,11 +119,11 @@ We can confirm that the AE rates in the "flexible" portfolio are not constant. M
 we see that the AE rate profile is very unique for each study.
 
 
-# Apply {gsm}
+# Funnel Plots {gsm}
 
 ## Example
 
-Here we demonstrate how to use the {gsm} package on our simulated portfolios.
+Here we demonstrate how to use the {gsm} package on our simulated portfolios so that we can get a good visualization of the funnel plot.
 
 ```{r}
 
@@ -137,7 +137,7 @@ get_SUBJ <- function(df_portf) {
 
 
 get_AE <- function(df_portf) {
-  df_portf_fix %>%
+  df_portf %>%
     select(study_id, subjid = patnum, n_ae) %>%
     summarise(n_ae = max(n_ae), .by = c(study_id, subjid)) %>%
     filter(n_ae > 0) %>%
@@ -182,68 +182,70 @@ chart
 
 ## Simulate UR
 
-We write a function that removes a given ratio of AEs from one site in the data set and returns its z-score.
 
-```{r}
-sim_site_ur_gsm <- function(site, ur_rate, dfTransformed) {
-  dfTransformed <- dfTransformed %>%
-    mutate(
-      Numerator = ifelse(GroupID == site, Numerator * (1 - ur_rate), Numerator),
-      Metric = Numerator / Denominator
-    )
-  
-  gsm::Analyze_NormalApprox(dfTransformed) %>%
-    filter(GroupID == site) %>%
-    pull(Score)
-}
+# UR Funnel
 
-sim_site_ur_gsm("4747", ur_rate = 0.75, dfTransformed)
-```
-
-We write another function that systematically applies this `sim_site_ur_gsm` across all sites in all studies across a range of under-reporting ratios.
+We write out own funnel function as adapted from {gsm}
 
 ```{r}
+funnel_ur <- function(df, site, ur_rate) {
+  df %>%
+    filter(visit == max(visit), .by = patnum) %>%
+    summarise(
+      Metric = sum(.data$n_ae) / sum(.data$visit),
+      n_ae = sum(n_ae),
+      visit = sum(visit),
+      .by = "site_number"
+    ) %>%
+    mutate(
+      n_ae = ifelse(site_number == site, n_ae * (1 - ur_rate), n_ae),
+      Metric = n_ae / visit
+    ) %>%
+    mutate(
+          vMu = sum(.data$n_ae) / sum(.data$visit),
+          z_0 = ifelse(.data$vMu == 0,
+            0,
+            (.data$Metric - .data$vMu) /
+              sqrt(.data$vMu / .data$visit)
+          ),
+          phi = mean(.data$z_0^2),
+          z_i = ifelse(.data$vMu == 0 | .data$phi == 0,
+            0,
+            (.data$Metric - .data$vMu) /
+              sqrt(.data$phi * .data$vMu / .data$visit)
+          )
+    ) %>%
+    filter(site_number == site) %>%
+    pull(z_i)
+}
 
-sim_ur_gsm <- function(dfSUBJ, dfAE) {
-  dfSUBJ %>%
-    inner_join(dfAE, by = "study_id") %>%
+sim_ur_funnel <- function(df) {
+  df %>%
+    group_by(study_id) %>%
+    nest() %>%
     ungroup() %>%
     mutate(
-      trans = map2(data.x, data.y, ~ gsm::AE_Map_Raw(list(dfSUBJ = .x, dfAE = .y))),
-      trans = map(trans, ~ gsm::Transform_Rate(., strNumeratorCol = "Count", strDenominatorCol = "Exposure")),
-      sites = map(data.x, ~ distinct(., siteid))
+      sites = map(data, ~ distinct(., site_number))
     ) %>%
-    select(- starts_with("data.")) %>%
     unnest(sites) %>%
     mutate(ur = list(tibble(ur_rate = c(0, 0.1, 0.25, 0.5, 0.75, 1)))) %>%
     unnest(ur) %>%
     mutate(
-      score = pmap_dbl(list(siteid, ur_rate, trans), sim_site_ur_gsm, .progress = TRUE)
+      score = pmap_dbl(list(data, site_number, ur_rate), funnel_ur, .progress = TRUE)
     )
 }
 
-df_sim_gsm_fix <- sim_ur_gsm(dfSUBJ_fix, dfAE_fix)
+df_sim_ur_funnel_flex <- sim_ur_funnel(df_portf_flex)
 ```
 
 ```{r}
-df_sim_gsm_fix
-```
-
-We repeat the same steps for the portfolio with the flexible AE rates.
-
-```{r}
-
-dfSUBJ_flex <- get_SUBJ(df_portf_flex)
-dfAE_flex<- get_AE(df_portf_flex)
-
-
-df_sim_gsm_flex <- sim_ur_gsm(dfSUBJ_flex, dfAE_flex)
+df_sim_ur_funnel_fix <- sim_ur_funnel(df_portf_fix)
 ```
 
 
 # UR {simaerep}
 
-We simulate under-reporting for both portfolios using {simaerep}
+We simulate under-reporting for both portfolios using {simaerep} using `sim_ur_scenarios()`.
 
 ```{r}
 df_sim_simaerep_fix <- sim_ur_scenarios(
@@ -273,38 +275,149 @@ df_sim_simaerep_flex <- sim_ur_scenarios(
 
 ## Combine Results
 
+As the funnel plot score does not use multiplicity correction, we also compare the funnel plot score against the {simaerep} score w/o multiplicity correction.
+
 ```{r}
 
-df_sim_gsm_fix$ae_rate <- "AE rate: fix"
-df_sim_gsm_flex$ae_rate <- "AE rate: flexible"
 df_sim_simaerep_fix$ae_rate <- "AE rate: fix"
 df_sim_simaerep_flex$ae_rate <- "AE rate: flexible"
+df_sim_ur_funnel_fix$ae_rate <- "AE rate: fix"
+df_sim_ur_funnel_flex$ae_rate <- "AE rate: flexible"
+
+
 
-df_sim_thresh2 <- bind_rows(df_sim_gsm_fix, df_sim_gsm_flex) %>%
+df_sim_fun_thresh2 <- bind_rows(df_sim_ur_funnel_fix, df_sim_ur_funnel_flex) %>%
   mutate(
-    is_ur = score <= -2,
-    type = "{gsm} - thresh: -2",
-    site_number = siteid
+    type = "funnel",
   ) %>%
-  select(type, ae_rate, study_id, site_number, ur_rate, is_ur, score)
+  select(type, ae_rate, study_id, site_number, ur_rate, score)
 
 
 df_sim_simaerep_threshp95 <-  bind_rows(df_sim_simaerep_fix, df_sim_simaerep_flex) %>%
   mutate(
-    is_ur = prob_low_prob_ur >= 0.95,
-    type = "{simaerep} - thresh: 0.95"
+    type = "{simaerep}"
   ) %>%
-  select(type, ae_rate, study_id, site_number, ur_rate, is_ur, score = prob_low_prob_ur)
+  select(type, ae_rate, study_id, site_number, ur_rate, score = prob_low_prob_ur)
+
+df_sim_simaerep_threshp95_no_mult <-  bind_rows(df_sim_simaerep_fix, df_sim_simaerep_flex) %>%
+  mutate(
+    type = "{simaerep} no mult"
+  ) %>%
+  mutate(
+    score = 1 - prob_low
+  ) %>%
+  select(type, ae_rate, study_id, site_number, ur_rate, score)
 
 
 df_eval <- bind_rows(
-  df_sim_thresh2,
   df_sim_simaerep_threshp95,
+  df_sim_simaerep_threshp95_no_mult,
+  df_sim_fun_thresh2
 )
 ```
 
+## AUC
 
-## Aggregate
+We continue by comparing the ROC-AUC.
+
+```{r}
+
+get_roc <- function(df_ur, df_nr) {
+  df <- bind_rows(df_ur, df_nr) 
+  pROC::roc(df, response = "is_ur", predictor = "score", quiet = TRUE)
+}
+
+# use 0 scenario to mix with ur scenario and calculate auc from scores
+df_nr <- df_eval %>%
+  filter(ur_rate == 0) %>%
+  mutate(is_ur = "no") %>%
+  select(- ur_rate) %>%
+  group_by(type, study_id, ae_rate) %>%
+  nest() %>%
+  ungroup() %>%
+  rename(data_nr = data)
+  
+
+df_ur <- df_eval %>%
+  filter(ur_rate > 0) %>%
+  mutate(is_ur = "yes") %>%
+  group_by(type, study_id, ur_rate, ae_rate) %>%
+  nest() %>%
+  ungroup() %>%
+  rename(data_ur = data)
+
+
+df_auc <- df_ur %>%
+  left_join(
+    df_nr,
+    by = c("type", "study_id", "ae_rate")
+  ) %>%
+  mutate(
+    roc = map2(data_ur, data_nr, get_roc, .progress = TRUE),
+    auc = map_dbl(roc, pROC::auc, .progress = TRUE)
+  ) %>%
+  select(type, study_id, ur_rate, ae_rate, roc, auc)
+
+```
+
+### Table
+
+```{r}
+df_auc %>%
+  summarise(
+    sd_auc = sd(.data$auc),
+    auc = mean(.data$auc),
+    .by = c(type, ur_rate, ae_rate)
+  ) %>%
+  knitr::kable(digit = 3)
+```
+
+### Plot
+
+```{r}
+
+df_auc %>%
+  ggplot(aes(type, auc)) +
+    geom_boxplot(aes(fill = type)) +
+    facet_grid(ae_rate ~ ur_rate)  +
+    scale_fill_brewer(palette = "Dark2") +
+    theme(axis.text.x = element_blank())
+
+```
+
+## Metrics
+
+### Thresholds
+
+We set the thresholds for funnel and simaerep w/o multiplicity correction so that we get the same fpr as for simaerep with multiplicity correction and the established threshold of 0.95
+
+```{r}
+
+thresh_default <- 0.95
+
+target_fpr <- df_eval %>%
+  filter(ur_rate == 0, type == "{simaerep}") %>%
+  summarise(fpr = sum(score >= thresh_default) / n()) %>%
+  pull(fpr)
+
+thresh_no_mult <-  df_eval %>%
+  filter(ur_rate == 0, type == "{simaerep} no mult") %>%
+  pull(score) %>%
+  quantile(1 - target_fpr)
+
+thresh_funnel <- df_eval %>%
+  filter(ur_rate == 0, type == "funnel") %>%
+  pull(score) %>%
+  quantile(target_fpr)
+
+target_fpr
+
+thresh_no_mult
+
+thresh_funnel
+```
+
+### Aggregate
 
 ```{r}
 get_prop_test_ci95 <- function(..., ix) {
@@ -319,44 +432,45 @@ get_prop_test_ci95 <- function(..., ix) {
 
 aggr_results <- function(df_eval) {
 
-df_perf <- df_eval %>%
-  summarise(
-    n = n(),
-    .by = c(type, ae_rate, ur_rate, is_ur)
-  ) %>%
-  pivot_wider(
-    names_from = is_ur,
-    values_from = n,
-    names_prefix = "is_ur_",
-    values_fill = 0
-  ) %>%
-  mutate(
-    n_sites = is_ur_TRUE + is_ur_FALSE + is_ur_NA,
-    ratio = is_ur_TRUE / n_sites,
-    ratio_type = ifelse(ur_rate == 0, "fpr", "tpr"),
-    ci95_low = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 1)),
-    ci95_high = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 2))
-  )
-}
+  df_perf <- df_eval %>%
+    mutate(
+      is_ur = case_when(
+        type == "{simaerep}" ~ score >= thresh_default,
+        type == "{simaerep} no mult" ~ score >= thresh_no_mult,
+        type == "funnel" ~ score <= thresh_funnel
+      )
+    ) %>%
+    summarise(
+      n = n(),
+      .by = c(type, ae_rate, ur_rate, is_ur)
+    ) %>%
+    pivot_wider(
+      names_from = is_ur,
+      values_from = n,
+      names_prefix = "is_ur_",
+      values_fill = 0
+    ) %>%
+    mutate(
+      n_sites = is_ur_TRUE + is_ur_FALSE,
+      ratio = is_ur_TRUE / n_sites,
+      ratio_type = ifelse(ur_rate == 0, "fpr", "tpr"),
+      ci95_low = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 1)),
+      ci95_high = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 2))
+    )
+  }
 
 df_perf <- aggr_results(df_eval)
 ```
 
-# Results
-
-## Table
+### Table
 
 ```{r}
 df_perf %>%
-  knitr::kable(digits = 3)
+  knitr::kable(digits = 4)
 
 ```
 
-
-
-## Plot Performance Metrics
-
-- {gsm} has better performance than {simaerep} when the AE rate is fixed, while {simaerep} greatly outperforms {gsm} when the AE rate is flexible and mimics the AE rates encountered in real study data sets.
+### Plot
 
 ```{r, plot, fig.width=10, fig.height = 12}
 
@@ -364,25 +478,31 @@ plot_perf <- function(df_perf) {
 
   df_perf %>%
     mutate(ur_rate = paste0("under-reporting rate: ",  ur_rate, " - ", ratio_type),
-           ur_rate = ifelse(str_detect(ur_rate, "fpr"), "fpr", ur_rate)) %>%
+           ur_rate = ifelse(str_detect(ur_rate, "fpr"), "fpr", ur_rate),
+           ae_rate = forcats::fct_rev(factor(ae_rate))) %>%
     group_by(ur_rate) %>%
     ggplot(aes(type, ratio)) +
-      geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = type), linewidth = 1) +
-      facet_grid(ur_rate ~ ae_rate) +
+      geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = type, linetype = ae_rate), linewidth = 1) +
+      facet_wrap(~ ur_rate, ncol = 1) +
       coord_flip() +
       theme(legend.position = "bottom") +
       labs(
         x = "",
         y = "CI95 Performance Ratio", 
-        title = "{simaerep} vs {gsm} Performance"
+        title = "{simaerep} vs Funnel-Plot Performance"
       ) +
-      scale_color_manual(values = c("#5491CC", "#F46626"))
+      scale_color_brewer(palette = "Dark2")
 }
 
 plot_perf(df_perf)
 ```
 
 
+# Summary
+
+- Funnel plot expects constant event rates over time. Performance decrease when event rates are flexible.
+- {simaerep} performance is unaffected by flexible event rates.
+- {simaerep} detection rates with comparable false positive rates are greater than funnel plot detection rates when event rates are flexible.
 
 ```{r close}
 plan(sequential)
diff --git a/vignettes/inframe.Rmd b/vignettes/inframe.Rmd
new file mode 100644
index 0000000..afd8855
--- /dev/null
+++ b/vignettes/inframe.Rmd
@@ -0,0 +1,203 @@
+---
+title: "Inframe Simulation Using Table Operations"
+output:
+  html_document:
+    toc: true
+    toc_depth: 3
+    toc_float: true
+    number_sections: true
+    code_folding: show
+    collapse: false
+editor_options:
+  chunk_output_type: console
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE, cache = FALSE, message = FALSE)
+```
+
+# Load
+```{r load}
+suppressPackageStartupMessages(library(dplyr))
+suppressPackageStartupMessages(library(tibble))
+suppressPackageStartupMessages(library(tidyr))
+suppressPackageStartupMessages(library(simaerep))
+```
+
+# Introduction
+
+With the latest `0.6.0` release we have added an alternative version of the {simaerep} algorithm that was coded using solely `dbplyr` compatible table operations.
+
+- expand the patients for each site `r` times
+- join each patient with a random eligible patient from same study
+- for each replicate calculate event per visit rate per site
+- calculate the ratio of having a lower event per visit rate than actually observed
+
+This comes with the following advantages and disadvantages:
+
+- Patients are individually matched with patients that have reached the same visit in the study. No need to pick visit_med75 as an evaluation point.
+- `dbplyr` compatibility means that code execution can be done in a database back-end as opposed to in-memory.
+- Matching patients individually is more costly, this increases in-memory computation time
+- Limited patient sample pool for patients that have more visits than other patients in study.
+
+# Sample Data
+
+```{r}
+set.seed(1)
+
+df_visit <- sim_test_data_study(
+  n_pat = 1000, # number of patients in study
+  n_sites = 100, # number of sites in study
+  frac_site_with_ur = 0.05, # fraction of sites under-reporting
+  ur_rate = 0.4, # rate of under-reporting
+  ae_per_visit_mean = 0.5 # mean AE per patient visit
+)
+
+df_visit$study_id <- "A"
+```
+
+# Patient-Level Matching
+
+Here we use the standard version of the algorithm.
+
+```{r}
+aerep_trad <- simaerep(df_visit)
+plot(aerep_trad)
+```
+
+To use the patient-level matching algorithm we set `inframe=TRUE` and `visit_med75=FALSE`.
+
+The original algorithm uses fixed seeds before sampling while the inframe method does not. In order to obtain consistent results we need to manually set a seed.
+
+```{r}
+set.seed(1)
+
+aerep_inframe <- simaerep(
+  df_visit,
+  inframe = TRUE,
+  visit_med75 = FALSE
+)
+```
+
+The plot shows that for all sites 10/10 patients were used and none were excluded. We also observe that
+the site average has become more noisy as less patients are used to calculate the averages for the higher
+visit numbers.
+
+```{r}
+plot(aerep_inframe)
+```
+
+The inframe method includes this noisier data but does not compare average event counts but event per visit rates.
+We can find `events_per_visit_site` and `events_per_visit_study` in `df_eval`. The latter is the average event rate
+obtained in the simulation in which each patient has been resampled according to its maximum visit.
+
+```{r}
+aerep_inframe$df_eval
+```
+
+We can also force the inframe method to use the visit_med75 this will pre-filter `df_visit`, which adds an extra step
+and decreases performance. 
+
+```{r}
+
+set.seed(1)
+
+aerep_inframe_visit_med75 <- simaerep(
+  df_visit,
+  inframe = TRUE,
+  visit_med75 = TRUE
+)
+
+plot(aerep_inframe_visit_med75)
+```
+
+
+# DB
+
+We can demonstrate the database-backend compatibility by using a connection to a in memory `duckdb` database. In order to set the number of replications we need to create a new table in our back-end that has one column with as many rows as the desired replications.
+
+A lazy reference to this table can then be passed to the `r` parameter.
+
+```{r}
+con <- DBI::dbConnect(duckdb::duckdb(), dbdir = ":memory:")
+df_r <- tibble(rep = seq(1, 1000))
+
+dplyr::copy_to(con, df_visit, "visit")
+dplyr::copy_to(con, df_r, "r")
+
+tbl_visit <- tbl(con, "visit")
+tbl_r <- tbl(con, "r")
+
+
+aerep <- simaerep(tbl_visit, r = tbl_r, visit_med75 = FALSE)
+```
+
+When inspecting `df_eval` we see that it is still a lazy table object.
+
+```{r}
+aerep$df_eval
+```
+
+We can convert it to sql code. The `cte` option makes the sql code more readable.
+
+```{r}
+sql_eval <- dbplyr::sql_render(aerep$df_eval, sql_options = dbplyr::sql_options(cte = TRUE))
+stringr::str_trunc(sql_eval, 500)
+```
+
+We can take that code and wrap it in a `CREATE TABLE` statement
+
+```{r}
+sql_create <- glue::glue("CREATE TABLE eval AS ({sql_eval})")
+DBI::dbExecute(con, sql_create)
+```
+
+Retrieve the new table from the database.
+
+```{r}
+tbl_eval <- tbl(con, "eval")
+tbl_eval
+```
+
+We plot the results from the {simaerep} object.
+
+```{r}
+plot(aerep)
+```
+
+Or more efficiently by using `plot_study()` when we have already written the `simaerep` results into the database.
+Here we avoid that the results are being recalculated just for the sake of creating a plot. However this requires
+that we save `df_site` to the database as well.
+
+```{r}
+sql_site <- dbplyr::sql_render(aerep$df_site)
+DBI::dbExecute(con, glue::glue("CREATE TABLE site AS ({sql_site})"))
+tbl_site <- tbl(con, "site")
+
+plot_study(tbl_visit, tbl_site, tbl_eval, study = "A")
+```
+
+
+```{r}
+DBI::dbDisconnect(con)
+```
+
+
+
+# In Memory Calculation Times
+
+Here we perform some examplary tests to illustrate the increase in-memory calculation time of the inframe calculation method.
+
+This is the calculation time for the default settings
+```{r}
+system.time({simaerep(df_visit, inframe = FALSE, visit_med75 = TRUE, under_only = TRUE, progress = FALSE)})
+```
+
+
+inframe calculation time is higher
+
+```{r}
+system.time({simaerep(df_visit, inframe = TRUE, visit_med75 = FALSE, under_only = TRUE)})
+```
+
+
diff --git a/vignettes/performance.Rmd b/vignettes/performance.Rmd
new file mode 100644
index 0000000..35abc85
--- /dev/null
+++ b/vignettes/performance.Rmd
@@ -0,0 +1,380 @@
+---
+title: "Statistical Performance"
+output:
+  html_document:
+    toc: true
+    toc_depth: 3
+    toc_float: true
+    number_sections: true
+    code_folding: show
+    collapse: false
+editor_options:
+  chunk_output_type: console
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE, cache = FALSE, message = FALSE)
+```
+
+# Load
+```{r load}
+suppressPackageStartupMessages(library(dplyr))
+suppressPackageStartupMessages(library(tibble))
+suppressPackageStartupMessages(library(tidyr))
+suppressPackageStartupMessages(library(simaerep))
+suppressPackageStartupMessages(library(purrr))
+suppressPackageStartupMessages(library(stringr))
+```
+
+# Introduction
+
+
+
+# Performance (Statistical)
+
+```{r}
+suppressPackageStartupMessages(library(furrr))
+suppressPackageStartupMessages(library(future))
+
+plan(multisession, workers = 6)
+```
+
+
+## Load Portfolio
+
+```{r eval = FALSE}
+df_config <- readr::read_csv("ae_conf_20240220.csv")
+df_ae_rates <- readr::read_csv("ae_rates_20240220.csv")
+
+df_portf_flex <- sim_test_data_portfolio(df_config, df_ae_rates = df_ae_rates, parallel = TRUE, progress = TRUE)
+
+df_portf_flex %>%
+  readr::write_csv("portf.csv")
+```
+
+```{r}
+df_portf_flex <- readr::read_csv("portf.csv")
+```
+
+
+## Simulating Under Reporting
+
+Here we reanalyze performance of {simaerep} integrating the lessons learned from previous versions. We will apply the following.
+
+- generate portfolio using flexible AE rates
+- remove AEs directly from the data set and not from an aggregated metric using `sim_ur()`
+- set threshold for confusion matrix so that all methods have similar fpr
+- test the following {simaerep} parameters **with and without correcting for multiplicity**:
+  * default algorithm
+  * default algorithm with active over-reporting scoring
+  * inframe algorithm with visit_med75
+  * inframe algorithm
+- test the following outlier detection methods
+  * box-plot
+  * funnel-plot
+  
+
+## Functions
+
+
+```{r}
+
+funnel <- function(df) {
+  df %>%
+  filter(visit == max(visit), .by = patnum) %>%
+  summarise(
+    Metric = sum(.data$n_ae) / sum(.data$visit),
+    n_ae = sum(n_ae),
+    visit = sum(visit),
+    .by = "site_number"
+  ) %>%
+  mutate(
+        vMu = sum(.data$n_ae) / sum(.data$visit),
+        z_0 = ifelse(.data$vMu == 0,
+          0,
+          (.data$Metric - .data$vMu) /
+            sqrt(.data$vMu / .data$visit)
+        ),
+        phi = mean(.data$z_0^2),
+        z_i = ifelse(.data$vMu == 0 | .data$phi == 0,
+          0,
+          (.data$Metric - .data$vMu) /
+            sqrt(.data$phi * .data$vMu / .data$visit)
+        )
+  )
+}
+
+box <- function(df) {
+  df <- df %>%
+    filter(visit == max(visit), .by = patnum) %>%
+    summarise(
+      event_per_visit = sum(.data$n_ae) / sum(.data$visit),
+      .by = "site_number"
+    )
+  
+  bx <- boxplot.stats(df$event_per_visit)
+  
+  df <- df %>%
+    mutate(
+      box_out = event_per_visit < bx$stats[1]
+    )
+  
+}
+
+
+perf <- function(df_visit, study_id, site_number, ur_rate) {
+  df_vs_study <- df_visit %>%
+    sim_ur(study_id, site_number, ur_rate)
+  
+  df_visit_med75 <- df_vs_study %>%
+    simaerep(under_only = TRUE, progress = FALSE, check = FALSE) %>%
+    .$df_eval %>%
+    filter(.data$site_number == .env$site_number)
+  
+  df_visit_med75_over <- df_vs_study %>%
+    simaerep(under_only = FALSE, progress = FALSE, check = FALSE) %>%
+    .$df_eval %>%
+    filter(.data$site_number == .env$site_number)
+
+  df_inframe <- df_vs_study %>%
+    simaerep(inframe = TRUE, under_only = TRUE, check = FALSE, visit_med75 = FALSE) %>%
+    .$df_eval %>%
+    filter(.data$site_number == .env$site_number)
+  
+  df_inframe_visit_med75 <- df_vs_study %>%
+    simaerep(inframe = TRUE, under_only = TRUE, check = FALSE, visit_med75 = TRUE) %>%
+    .$df_eval %>%
+    filter(.data$site_number == .env$site_number)
+  
+  funnel_zi <- funnel(df_vs_study) %>%
+    filter(.data$site_number == .env$site_number) %>%
+    pull(z_i)
+  
+  box_out <- box(df_vs_study) %>%
+    filter(.data$site_number == .env$site_number) %>%
+    pull(box_out)
+
+  tibble(
+    score_visit_med75 = df_visit_med75$prob_low_prob_ur,
+    score_visit_med75_no_mult = 1 - df_visit_med75$prob_low,
+    score_visit_med75_over = df_visit_med75_over$prob_low_prob_ur,
+    score_visit_med75_over_no_mult = 1 - df_visit_med75_over$prob_low,
+    score_inframe = df_inframe$prob_low_prob_ur,
+    score_inframe_no_mult = 1 - df_inframe$prob_low,
+    score_inframe_visit_med75 = df_inframe_visit_med75$prob_low_prob_ur,
+    score_inframe_visit_med75_no_mult = 1 - df_inframe_visit_med75$prob_low,
+    score_funnel_zi = funnel_zi,
+    score_box_out = as.integer(box_out),
+    stat_visit_med75_visit_med75 = df_visit_med75$visit_med75,
+    stat_visit_med75_n_pat_with_med75 = df_visit_med75$n_pat_with_med75,
+    stat_visit_med75_mean_ae_site_med75 = df_visit_med75$mean_ae_site_med75,
+    stat_visit_med75_mean_ae_study_med75 = df_visit_med75$mean_ae_study_med75,
+    stat_inframe_visit_med75 = df_inframe_visit_med75$visit_med75,
+    stat_inframe_visit_med75_n_pat_with_med75 = df_inframe_visit_med75$n_pat_with_med75,
+    stat_inframe_visit_med75_events_per_visit_site = df_inframe_visit_med75$events_per_visit_site,
+    stat_inframe_visit_med75_events_per_visit_study = df_inframe_visit_med75$events_per_visit_study,
+    stat_inframe_n_pat = df_inframe$n_pat,
+    stat_inframe_events_per_visit_site = df_inframe$events_per_visit_site,
+    stat_inframe_events_per_visit_study = df_inframe$events_per_visit_study,
+  )
+}
+
+# perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0) %>% unlist()
+# perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0.5) %>% unlist()
+# perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 0.75) %>% unlist()
+# perf(df_portf_flex, study_id = "0010", site_number = "15153", ur_rate = 1) %>% unlist()
+
+```
+
+
+## Grid
+
+```{r}
+df_grid <- df_portf_flex %>%
+  distinct(study_id, site_number) %>%
+  # to reduce calculation time we only take every xth study
+  filter(dense_rank(study_id)%%5 == 0) %>%
+  mutate(ur_rate = list(c(0, 0.1, 0.25, 0.5, 0.75, 1))) %>%
+  unnest(ur_rate)
+
+df_grid
+```
+
+
+
+## Apply
+
+```{r eval = FALSE}
+with_progress_cnd(
+  df_perf <- df_grid %>%
+    mutate(
+      perf = purrr_bar(
+        list(study_id, site_number, ur_rate),
+        .purrr = furrr::future_pmap,
+        .f = function(x, y, z) perf(df_portf_flex, x, y, z),
+        .purrr_args = list(.options = furrr_options(seed = TRUE)),
+        .steps = nrow(.)
+      )
+    )
+)
+
+df_perf %>%
+  unnest(perf) %>%
+  readr::write_csv("perf.csv")
+```
+
+
+
+```{r}
+df_perf <- readr::read_csv("perf.csv", show_col_types = FALSE)
+```
+
+
+```{r}
+df_perf_long <- df_perf %>%
+  pivot_longer(cols = - c(study_id, site_number, ur_rate), names_to = "type", values_to = "score") %>%
+  filter(startsWith(type, "score_")) %>%
+  mutate(type = stringr::str_replace(type, "score_", ""))
+```
+
+
+# Evaluation
+
+
+### Thresholds
+
+We set the thresholds so that we get a fpr of 0.01.
+
+Note that this results in probability thresholds ~ 0.99 for scores w/o multiplicity correction and in the recommended funnel plot score threshold of -2.
+
+```{r}
+
+target_fpr <- 0.01
+
+df_thresh <- df_perf_long %>%
+  group_by(type) %>%
+  nest() %>%
+  ungroup() %>%
+  mutate(
+    data = map(data, ~ filter(., ur_rate == 0)),
+    thresh1 = map_dbl(data, ~ quantile(pull(., score), 1 - target_fpr)),
+    thresh2 = map_dbl(data, ~ quantile(pull(., score), target_fpr)),
+    thresh = ifelse(type == "funnel_zi", thresh2, thresh1)
+  ) %>%
+  select(type, thresh)
+  
+df_thresh
+```
+
+### Aggregate
+
+```{r}
+get_prop_test_ci95 <- function(..., ix) {
+  
+  stopifnot(ix %in% c(1, 2))
+  
+  tryCatch(
+    prop.test(...)$conf.int[ix],
+    error = function(cnd) c(NA, NA)[ix]
+  )
+}
+
+df_aggr <- df_perf_long %>%
+  left_join(df_thresh, by = "type") %>%
+  mutate(
+    is_ur = ifelse(type == "funnel_zi", score <= thresh, score >= thresh),
+    is_ur = ifelse(type == "box_out", score == 1, is_ur)
+  ) %>%
+  summarise(
+    n = n(),
+    .by = c(type, ur_rate, is_ur)
+  ) %>%
+  pivot_wider(
+    names_from = is_ur,
+    values_from = n,
+    names_prefix = "is_ur_",
+    values_fill = 0
+  ) %>%
+  mutate(
+    n_sites = is_ur_TRUE + is_ur_FALSE,
+    ratio = is_ur_TRUE / n_sites,
+    ratio_type = ifelse(ur_rate == 0, "fpr", "tpr"),
+    ci95_low = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 1)),
+    ci95_high = map2_dbl(is_ur_TRUE, n_sites, ~ get_prop_test_ci95(.x, .y, ix = 2)),
+    type_strip = str_replace(type, "_no_mult", ""),
+    has_mult = ! str_detect(type, "no_mult") & ! type %in% c("funnel_zi", "box_out")
+  )
+```
+
+### Table
+
+Methods:
+
+- **visit_med75:** default algorithm
+- **visit_med75_over:** default algorithm including over-reporting score
+- **inframe:** new algorithm using table operations and no visit_med75
+- **inframe visit_med75:** new algorithm using table operations and visit_med75
+- **funnel_zi:** funnel plot derived outlier detection
+- **box_out:** box plot derived outlier detection
+
+FN: false negatives
+TP: true positives
+
+```{r}
+df_aggr %>%
+  select(method = type_strip, has_mult, ur_rate, FN = is_ur_FALSE, TP = is_ur_TRUE, n_sites, ratio_type, ratio, ci95_low, ci95_high) %>%
+  knitr::kable(digits = 4)
+
+```
+
+
+### Plot
+
+```{r, plot, fig.width=10, fig.height = 12}
+
+df_aggr %>%
+  mutate(ur_rate = paste0("under-reporting rate: ",  ur_rate, " - ", ratio_type)
+  ) %>%
+  group_by(ur_rate) %>%
+  ggplot(aes(type, ratio)) +
+    geom_errorbar(aes(ymin = ci95_low, ymax = ci95_high, color = type_strip, alpha = has_mult), linewidth = 1) +
+    facet_wrap(~ ur_rate, ncol = 1) +
+    coord_flip() +
+    theme(
+      legend.position = "right",
+      axis.text.y = element_blank(),
+      axis.ticks.y = element_blank()
+    ) +
+    labs(
+      x = "",
+      y = "Ratio (CI95)", 
+      title = "{simaerep} Performance",
+      color = "Method",
+      alpha = "Multiplicity Correction"
+    ) +
+    scale_color_manual(values = rev(RColorBrewer::brewer.pal(n = 6, name = "Dark2"))) +
+    scale_alpha_manual(values = c(1, 0.5))
+
+```
+
+
+### Summary
+
+- new inframe method has slightly better performance than original algorithm
+
+> The new inframe methods compares event per visit rates without dropping any patients or AEs from the analysis.
+This is likely to explain the performance increase. We observed a similar increase when we optimized visit_med75
+in past experiments.
+
+- multiplicity correction imposes a penalty on the true positive rate
+
+> This observation was already made by the Boeringer Ingelheim Team during the evaluation of {simaerep}. We can 
+now reporducibly confirm this. The unaltered probability score as returned by the bootstrap algorithm already provides
+very realistic under-reporting probabilities.
+
+- {simaerep} outperforms simpler methods such as funnel plot and box plot outlier detection.
+
+> These controls confirm previous observations that were made during the {simaerep} validation.
+
+
+
diff --git a/vignettes/portfolio_perf.Rmd b/vignettes/portfolio_perf.Rmd
index 777eb85..5d382fb 100644
--- a/vignettes/portfolio_perf.Rmd
+++ b/vignettes/portfolio_perf.Rmd
@@ -1,5 +1,5 @@
 ---
-title: "simaerep Portfolio Performance"
+title: "(superseded) simaerep Portfolio Performance"
 output:
   html_document:
     toc: true
@@ -38,7 +38,7 @@ We want to define minimal requirements for simulating test data that reflects re
 These simulations take some time to run and require multiple cores and appropriate memory. Rendering articles in {pkgdown} can be a bit unstable so we recommend to render first using pure {rmarkdown} to generate the intermediate csv files.
 
 ```{r perf, eval = FALSE}
-rmarkdown::render("vignettes/_portfolio_perf.Rmd", knit_root_dir = "/home/koneswab/simaerep")
+rmarkdown::render("vignettes/_portfolio_perf.Rmd", knit_root_dir = paste0(getwd(), "/vignettes"))
 ```