From 987bed9b424928cbda3b3f16596e3b4de2d5d6a3 Mon Sep 17 00:00:00 2001 From: Kenta Yoshida Date: Tue, 26 Nov 2024 06:24:34 -0800 Subject: [PATCH] Update author and site --- .Rbuildignore | 1 + .github/workflows/pkgdown.yaml | 9 +- .gitignore | 1 + DESCRIPTION | 3 +- _pkgdown.yml | 4 + docs/404.html | 115 --- docs/LICENSE-text.html | 761 ------------------ docs/articles/emaxmodel.html | 408 ---------- .../empty-anchor.js | 15 - .../anchor-sections-1.0/anchor-sections.css | 4 - .../anchor-sections-1.0/anchor-sections.js | 33 - .../figure-html/compare_emax-1.png | Bin 22476 -> 0 bytes .../figure-html/plot_example-1.png | Bin 51703 -> 0 bytes .../figure-html/plot_example_log-1.png | Bin 66304 -> 0 bytes .../figure-html/plot_with_cov-1.png | Bin 57716 -> 0 bytes .../figure-html/plot_with_gamma_fix-1.png | Bin 80610 -> 0 bytes .../figure-html/plot_with_pp-1.png | Bin 57889 -> 0 bytes docs/articles/index.html | 86 -- docs/authors.html | 112 --- docs/bootstrap-toc.css | 60 -- docs/bootstrap-toc.js | 159 ---- docs/docsearch.css | 148 ---- docs/docsearch.js | 85 -- docs/index.html | 246 ------ docs/link.svg | 12 - 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branches: [main, master] release: types: [published] workflow_dispatch: -name: pkgdown +name: pkgdown.yaml + +permissions: read-all jobs: pkgdown: @@ -22,7 +23,7 @@ jobs: permissions: contents: write steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - uses: r-lib/actions/setup-pandoc@v2 @@ -41,7 +42,7 @@ jobs: - name: Deploy to GitHub pages 🚀 if: github.event_name != 'pull_request' - uses: JamesIves/github-pages-deploy-action@v4.4.1 + uses: JamesIves/github-pages-deploy-action@v4.5.0 with: clean: false branch: gh-pages diff --git a/.gitignore b/.gitignore index 5a93a0d..3324934 100755 --- a/.gitignore +++ b/.gitignore @@ -43,3 +43,4 @@ vignettes/*.pdf # Shiny token, see https://shiny.rstudio.com/articles/shinyapps.html rsconnect/ .Rproj.user +docs diff --git a/DESCRIPTION b/DESCRIPTION index 0283de3..f667fd9 100755 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -5,6 +5,7 @@ Description: Perform sigmoidal Emax model fit using 'Stan' in a formula notation Authors@R: c( person("Kenta", "Yoshida", , "yoshida.kenta.6@gmail.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-4967-3831")), + person("Danielle", "Navarro", , "djnavarro@protonmail.com", c("aut")), person("Trustees of Columbia University", role = "cph", comment="src/init.cpp, tools/make_cc.R, R/stanmodels.R")) Encoding: UTF-8 @@ -39,5 +40,5 @@ Suggests: spelling VignetteBuilder: knitr Language: en-US -URL: https://github.com/yoshidk6/rstanemax +URL: https://github.com/yoshidk6/rstanemax, https://yoshidk6.github.io/rstanemax/ BugReports: https://github.com/yoshidk6/rstanemax/issues diff --git a/_pkgdown.yml b/_pkgdown.yml new file mode 100644 index 0000000..76066ac --- /dev/null +++ b/_pkgdown.yml @@ -0,0 +1,4 @@ +url: https://yoshidk6.github.io/rstanemax/ +template: + bootstrap: 5 + diff --git a/docs/404.html b/docs/404.html deleted file mode 100755 index adc43c4..0000000 --- a/docs/404.html +++ /dev/null @@ -1,115 +0,0 @@ - - - - - - - -Page not found (404) • rstanemax - - - - - - - - - - - -
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Developed by Kenta Yoshida.

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Site built with pkgdown 2.0.7.

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- -
- - - - - - - - diff --git a/docs/articles/emaxmodel.html b/docs/articles/emaxmodel.html deleted file mode 100755 index 738d4b1..0000000 --- a/docs/articles/emaxmodel.html +++ /dev/null @@ -1,408 +0,0 @@ - - - - - - - -Simple Emax model fit with Stan • rstanemax - - - - - - - - - - - - -
-
- - - - -
-
-
-

Simple Emax model fit with Stan

-

Kenta -Yoshida

- -

2023-02-15

- - Source: vignettes/emaxmodel.Rmd - - -
- - - - -

This vignette provide an overview of the workflow of Emax model -analysis using this package.

-
-

Typical workflow -

-
-

Model run with stan_emax function -

-

stan_emax() is the main function of this package to -perform Emax model analysis on the data. This function requires minimum -two input arguments - formula and data. In the -formula argument, you will specify which columns of -data will be used as exposure and response data, in a -format similar to stats::lm() function, -e.g. response ~ exposure.

-
-data(exposure.response.sample)
-
-fit.emax <- stan_emax(response ~ exposure, data = exposure.response.sample,
-                      # the next line is only to make the example go fast enough
-                      chains = 2, iter = 1000, seed = 12345)
-
-fit.emax
-#> ---- Emax model fit with rstanemax ----
-#> 
-#>        mean se_mean    sd  2.5%   25%   50%   75%  97.5%  n_eff Rhat
-#> emax  92.03    0.33  6.14 79.95 88.21 92.14 95.83 104.09 356.18 1.01
-#> e0     5.42    0.29  5.22 -5.60  2.03  5.35  9.00  15.42 329.47 1.00
-#> ec50  74.58    0.97 22.35 41.56 59.97 71.05 85.47 126.46 530.04 1.00
-#> gamma  1.00     NaN  0.00  1.00  1.00  1.00  1.00   1.00    NaN  NaN
-#> sigma 16.71    0.07  1.67 13.75 15.47 16.66 17.84  20.15 646.23 1.00
-#> 
-#> * Use `extract_stanfit()` function to extract raw stanfit object
-#> * Use `extract_param()` function to extract posterior draws of key parameters
-#> * Use `plot()` function to visualize model fit
-#> * Use `posterior_predict()` or `posterior_predict_quantile()` function to get
-#>   raw predictions or make predictions on new data
-#> * Use `extract_obs_mod_frame()` function to extract raw data 
-#>   in a processed format (useful for plotting)
-

plot() function shows the estimated Emax model curve -with 95% credible intervals of parameters.

-
-plot(fit.emax)
-

-

Output of plot() function (for stanemax -object) is a ggplot object, so you can apply additional -settings as you would do in ggplot2.
-Here is an example of using log scale for x axis (note that exposure == -0 is hanging at the very left, making the curve a bit weird).

-
-plot(fit.emax) + scale_x_log10() + expand_limits(x = 1)
-#> Warning: Transformation introduced infinite values in continuous x-axis
-#> Transformation introduced infinite values in continuous x-axis
-#> Transformation introduced infinite values in continuous x-axis
-

-

Raw output from rstan is stored in the output variable, -and you can access it with extract_stanfit() function.

-
-class(extract_stanfit(fit.emax))
-#> [1] "stanfit"
-#> attr(,"package")
-#> [1] "rstan"
-
-
-

Prediction of response with new exposure data -

-

posterior_predict() function allows users to predict the -response using new exposure data. If newdata is not -provided, the function returns the prediction on the exposures in -original data. The default output is a matrix of posterior predictions, -but you can also specify “dataframe” or “tibble” that contain posterior -predictions in a long format. See help of -rstanemax::posterior_predict() for the description of two -predictions, respHat and response.

-
-response.pred <- posterior_predict(fit.emax, newdata = c(0, 100, 1000), returnType = "tibble")
-
-response.pred %>% select(mcmcid, exposure, respHat, response)
-#> # A tibble: 3,000 × 4
-#>    mcmcid exposure   respHat response
-#>     <int>    <dbl> <dbl[1d]>    <dbl>
-#>  1      1        0     14.8     16.9 
-#>  2      1      100     54.7     81.8 
-#>  3      1     1000     91.6     84.6 
-#>  4      2        0      7.28    -4.99
-#>  5      2      100     62.1     59.1 
-#>  6      2     1000     93.4     86.9 
-#>  7      3        0      6.05   -13.2 
-#>  8      3      100     55.3     55.4 
-#>  9      3     1000     93.9     85.0 
-#> 10      4        0      6.92    44.1 
-#> # … with 2,990 more rows
-

You can also get quantiles of predictions with -posterior_predict_quantile() function.

-
-resp.pred.quantile <- posterior_predict_quantile(fit.emax, newdata = seq(0, 5000, by = 100))
-resp.pred.quantile
-#> # A tibble: 51 × 11
-#>    exposure covemax covec50 cove0 Covariates ci_low ci_med ci_high pi_low pi_med
-#>       <dbl> <fct>   <fct>   <fct> <chr>       <dbl>  <dbl>   <dbl>  <dbl>  <dbl>
-#>  1        0 1       1       1     ""          -2.73   5.35    13.5  -23.7   5.84
-#>  2      100 1       1       1     ""          52.2   58.9     65.1   30.0  58.2 
-#>  3      200 1       1       1     ""          67.2   73.0     78.2   46.2  73.1 
-#>  4      300 1       1       1     ""          74.2   79.5     84.4   51.6  78.6 
-#>  5      400 1       1       1     ""          78.1   83.2     88.1   55.2  83.8 
-#>  6      500 1       1       1     ""          80.5   85.6     90.6   59.6  87.2 
-#>  7      600 1       1       1     ""          82.0   87.3     92.5   60.7  87.5 
-#>  8      700 1       1       1     ""          83.1   88.6     94.0   60.4  88.6 
-#>  9      800 1       1       1     ""          84.0   89.6     95.3   61.8  88.7 
-#> 10      900 1       1       1     ""          84.8   90.4     96.4   62.8  90.7 
-#> # … with 41 more rows, and 1 more variable: pi_high <dbl>
-

Input data can be obtained in a same format with -extract_obs_mod_frame() function.

-
-obs.formatted <- extract_obs_mod_frame(fit.emax)
-

These are particularly useful when you want to plot the estimated -Emax curve.

-
-ggplot(resp.pred.quantile, aes(exposure, ci_med)) +
-  geom_line() + 
-  geom_ribbon(aes(ymin=ci_low, ymax=ci_high), alpha = .5) +
-  geom_ribbon(aes(ymin=pi_low, ymax=pi_high), alpha = .2) +
-  geom_point(data = obs.formatted,
-             aes(y = response)) +
-  labs(y = "response")
-

-

Posterior draws of Emax model parameters can be extracted with -extract_param() function.

-
-posterior.fit.emax <- extract_param(fit.emax)
-posterior.fit.emax
-#> # A tibble: 1,000 × 6
-#>    mcmcid  emax     e0  ec50     gamma     sigma
-#>     <int> <dbl>  <dbl> <dbl> <dbl[1d]> <dbl[1d]>
-#>  1      1  85.7 14.8   115.          1      16.7
-#>  2      2  92.0  7.28   67.7         1      14.8
-#>  3      3  96.2  6.05   95.2         1      18.7
-#>  4      4  97.7  6.92   90.6         1      17.0
-#>  5      5  90.9 12.7   107.          1      19.0
-#>  6      6  97.0 -4.47   41.7         1      15.2
-#>  7      7  96.7  0.919  64.9         1      13.9
-#>  8      8  81.3 10.5    80.8         1      17.7
-#>  9      9  87.9 10.2    68.8         1      16.2
-#> 10     10  91.7  5.52   72.6         1      17.0
-#> # … with 990 more rows
-
-
-
-

Fix parameter values in Emax model -

-

You can fix parameter values in Emax model for Emax, E0 and/or gamma -(Hill coefficient). See help of stan_emax() for the -details. The default is to fix gamma at 1 and to estimate Emax and E0 -from data.

-

Below is the example of estimating gamma from data.

-
-data(exposure.response.sample)
-
-fit.emax.sigmoidal <- stan_emax(response ~ exposure, data = exposure.response.sample, 
-                                gamma.fix = NULL,
-                                # the next line is only to make the example go fast enough
-                                chains = 2, iter = 1000, seed = 12345)
-#> Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
-#> Running the chains for more iterations may help. See
-#> https://mc-stan.org/misc/warnings.html#tail-ess
-
-fit.emax.sigmoidal
-#> ---- Emax model fit with rstanemax ----
-#> 
-#>        mean se_mean    sd  2.5%   25%   50%   75%  97.5%  n_eff Rhat
-#> emax  90.24    0.69 11.04 73.16 83.06 88.27 95.27 117.11 252.66 1.00
-#> e0     7.01    0.22  4.95 -2.65  3.73  6.98 10.20  16.71 506.30 1.00
-#> ec50  80.51    2.73 38.77 44.55 60.42 71.57 86.39 177.29 202.28 1.01
-#> gamma  1.15    0.02  0.33  0.58  0.93  1.12  1.34   1.91 395.76 1.00
-#> sigma 16.77    0.06  1.64 13.93 15.61 16.63 17.76  20.36 738.68 1.00
-#> 
-#> * Use `extract_stanfit()` function to extract raw stanfit object
-#> * Use `extract_param()` function to extract posterior draws of key parameters
-#> * Use `plot()` function to visualize model fit
-#> * Use `posterior_predict()` or `posterior_predict_quantile()` function to get
-#>   raw predictions or make predictions on new data
-#> * Use `extract_obs_mod_frame()` function to extract raw data 
-#>   in a processed format (useful for plotting)
-

You can compare the difference of posterior predictions between two -models (in this case they are very close to each other):

-
-
-exposure_pred <- seq(min(exposure.response.sample$exposure),
-                     max(exposure.response.sample$exposure),
-                     length.out = 100)
-
-pred1 <- 
-  posterior_predict_quantile(fit.emax, exposure_pred) %>% 
-  mutate(model = "Emax")
-pred2 <- 
-  posterior_predict_quantile(fit.emax.sigmoidal, exposure_pred) %>% 
-  mutate(model = "Sigmoidal Emax")
-
-pred <- bind_rows(pred1, pred2)
-
-
-ggplot(pred, aes(exposure, ci_med, color = model, fill = model)) +
-  geom_line() + 
-  geom_ribbon(aes(ymin=ci_low, ymax=ci_high), alpha = .3) +
-  geom_ribbon(aes(ymin=pi_low, ymax=pi_high), alpha = .1, color = NA) +
-  geom_point(data=exposure.response.sample, aes(exposure, response), 
-             color = "black", fill = NA, size=2) +
-  labs(y = "response")
-
-
-
-
-

-
-
-

Set covariates -

-

You can specify categorical covariates for Emax, EC50, and E0. See -help of stan_emax() for the details.

-
-data(exposure.response.sample.with.cov)
-
-test.data <-
-  mutate(exposure.response.sample.with.cov,
-         SEX = ifelse(cov2 == "B0", "MALE", "FEMALE"))
-
-fit.cov <- stan_emax(formula = resp ~ conc, data = test.data,
-                     param.cov = list(emax = "SEX"),
-                     # the next line is only to make the example go fast enough
-                     chains = 2, iter = 1000, seed = 12345)
-
-fit.cov
-#> ---- Emax model fit with rstanemax ----
-#> 
-#>                mean se_mean    sd  2.5%   25%    50%    75%  97.5%  n_eff Rhat
-#> emax[FEMALE]  80.84    0.17  4.00 73.17 78.16  80.85  83.60  88.75 557.82    1
-#> emax[MALE]    87.24    0.21  5.32 76.62 83.74  87.17  90.80  97.85 617.28    1
-#> e0            15.37    0.10  2.39 10.78 13.70  15.36  17.02  19.77 571.18    1
-#> ec50         107.08    0.84 20.68 69.17 92.66 105.84 120.73 149.79 609.12    1
-#> gamma          1.00     NaN  0.00  1.00  1.00   1.00   1.00   1.00    NaN  NaN
-#> sigma         10.59    0.04  1.07  8.73  9.85  10.52  11.27  12.82 748.65    1
-#> 
-#> * Use `extract_stanfit()` function to extract raw stanfit object
-#> * Use `extract_param()` function to extract posterior draws of key parameters
-#> * Use `plot()` function to visualize model fit
-#> * Use `posterior_predict()` or `posterior_predict_quantile()` function to get
-#>   raw predictions or make predictions on new data
-#> * Use `extract_obs_mod_frame()` function to extract raw data 
-#>   in a processed format (useful for plotting)
-plot(fit.cov)
-

-

You can extract MCMC samples from raw stanfit and evaluate -differences between groups.

-
-
-fit.cov.posterior <- 
-  extract_param(fit.cov)
-
-emax.posterior <- 
-  fit.cov.posterior %>% 
-  select(mcmcid, SEX, emax) %>% 
-  tidyr::pivot_wider(names_from = SEX, values_from = emax) %>% 
-  mutate(delta = FEMALE - MALE)
-
-ggplot2::qplot(delta, data = emax.posterior, bins = 30) +
-  ggplot2::labs(x = "emax[FEMALE] - emax[MALE]")
-#> Warning: `qplot()` was deprecated in ggplot2 3.4.0.
-
-# Credible interval of delta
-quantile(emax.posterior$delta, probs = c(0.025, 0.05, 0.5, 0.95, 0.975))
-#>       2.5%         5%        50%        95%      97.5% 
-#> -16.515210 -14.356386  -6.421210   1.966148   3.676129
-
-# Posterior probability of emax[FEMALE] < emax[MALE]
-sum(emax.posterior$delta < 0) / nrow(emax.posterior)
-#> [1] 0.912
-

-
-
- - - -
- - - -
-

-

Developed by Kenta Yoshida.

-
- -
-

-

Site built with pkgdown 2.0.7.

-
- -
-
- - - - - - - - diff --git a/docs/articles/emaxmodel_files/accessible-code-block-0.0.1/empty-anchor.js b/docs/articles/emaxmodel_files/accessible-code-block-0.0.1/empty-anchor.js deleted file mode 100644 index ca349fd..0000000 --- a/docs/articles/emaxmodel_files/accessible-code-block-0.0.1/empty-anchor.js +++ /dev/null @@ -1,15 +0,0 @@ -// Hide empty tag within highlighted CodeBlock for screen reader accessibility (see https://github.com/jgm/pandoc/issues/6352#issuecomment-626106786) --> -// v0.0.1 -// Written by JooYoung Seo (jooyoung@psu.edu) and Atsushi Yasumoto on June 1st, 2020. - -document.addEventListener('DOMContentLoaded', function() { - const codeList = document.getElementsByClassName("sourceCode"); - for (var i = 0; i < codeList.length; i++) { - var linkList = codeList[i].getElementsByTagName('a'); - for (var j = 0; j < linkList.length; j++) { - if (linkList[j].innerHTML === "") { - linkList[j].setAttribute('aria-hidden', 'true'); - } - } - } -}); diff --git a/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.css b/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.css deleted file mode 100644 index 07aee5f..0000000 --- a/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.css +++ /dev/null @@ -1,4 +0,0 @@ -/* Styles for section anchors */ -a.anchor-section {margin-left: 10px; visibility: hidden; color: inherit;} -a.anchor-section::before {content: '#';} -.hasAnchor:hover a.anchor-section {visibility: visible;} diff --git a/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.js b/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.js deleted file mode 100644 index 570f99a..0000000 --- a/docs/articles/emaxmodel_files/anchor-sections-1.0/anchor-sections.js +++ /dev/null @@ -1,33 +0,0 @@ -// Anchor sections v1.0 written by Atsushi Yasumoto on Oct 3rd, 2020. -document.addEventListener('DOMContentLoaded', function() { - // Do nothing if AnchorJS is used - if (typeof window.anchors === 'object' && anchors.hasOwnProperty('hasAnchorJSLink')) { - return; - } - - const h = document.querySelectorAll('h1, h2, h3, h4, h5, h6'); - - // Do nothing if sections are already anchored - if (Array.from(h).some(x => x.classList.contains('hasAnchor'))) { - return null; - } - - // Use section id when pandoc runs with --section-divs - const section_id = function(x) { - return ((x.classList.contains('section') || (x.tagName === 'SECTION')) - ? x.id : ''); - }; - - // Add anchors - h.forEach(function(x) { - const id = x.id || section_id(x.parentElement); - if (id === '') { - return null; - } - let anchor = document.createElement('a'); - anchor.href = '#' + id; - anchor.classList = ['anchor-section']; - x.classList.add('hasAnchor'); - x.appendChild(anchor); - }); -}); diff --git a/docs/articles/emaxmodel_files/figure-html/compare_emax-1.png b/docs/articles/emaxmodel_files/figure-html/compare_emax-1.png deleted file mode 100644 index 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- - - - - - - - diff --git a/docs/authors.html b/docs/authors.html deleted file mode 100755 index c71f564..0000000 --- a/docs/authors.html +++ /dev/null @@ -1,112 +0,0 @@ - -Authors and Citation • rstanemax - - -
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- - - -
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Authors

-
- - -
  • -

    Kenta Yoshida. Author, maintainer. -

    -
    • -
  • -

    Trustees of Columbia University. Copyright holder. -
    src/init.cpp, tools/make_cc.R, R/stanmodels.R

    -
    • -
-
-
-

Citation

- Source: DESCRIPTION -
-
- - -

Yoshida K (2023). -rstanemax: Emax Model Analysis with 'Stan'. -R package version 0.1.4, https://github.com/yoshidk6/rstanemax. -

- 
@Manual{,
-  title = {rstanemax: Emax Model Analysis with 'Stan'},
-  author = {Kenta Yoshida},
-  year = {2023},
-  note = {R package version 0.1.4},
-  url = {https://github.com/yoshidk6/rstanemax},
-}
- -
- -
- - - -
-

Developed by Kenta Yoshida.

-
- -
-

Site built with pkgdown 2.0.7.

-
- -
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    rstanemax -

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    R build status CRAN status downloads

    -

    This small package performs simple sigmoidal Emax model fit using Stan, without the need of (1) writing Stan model code and (2) setting up an environment to compile Stan model, inspired by rstanarm package.

    -

    rstanarm package (link) is a very flexible, general purpose tool to perform various Bayesian modeling with formula notations, such as generalized mixed effect models or joint models. One small gap it has is in nonlinear model fitting, where it only accepts nonlinear functions defined in stats package with SS prefixes (link). Unfortunately the (sigmoidal) Emax model, one of the most commonly used nonlinear functions in the field of pharmacometrics, is not among the available functions. The rstanarm package also seems to be assuming that we fit nonlinear mixed effect models, but not simple nonlinear models without mixed effects. brms is another great general purpose package that allows formula notation, but it requires users to compile generated Stan models. The need for setting up an environment for compiling Stan code can be daunting for beginners, especially with Windows.

    -

    I hope this rstanemax package will fill the niche gap, allow for easier implementation of Emax model in Bayesian framework, and enable routine uses in the pharmacokinetic/pharmacodynamic field.

    -

    This package was build using rstantools (link) following a very helpful step-by-step guide (link) on creating a package that depends on RStan.

    -
    -

    Installation -

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    From CRAN -

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    You can install the released version of rstanemax from CRAN with:

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    -install.packages("rstanemax")
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    -
    -

    From source -

    -

    You can alternatively install the package from source.
    -Before doing so, you first have to install RStan and C++ Toolchain.
    RStan Getting Started
    -Also, you have to follow the instruction below if you are using Windows PC.
    Installing RStan from source on Windows

    -

    After this step you should be able to install the package from GitHub using devtools.

    -
    -install.packages("devtools")
-library(devtools)
-devtools::install_github("yoshidk6/rstanemax")
    -
    -
    -
    -

    Example -

    -

    This GitHub pages contains function references and vignette.

    -
    -# Load rstanemax
-library(rstanemax)
-#> Loading required package: Rcpp
-
-# Run model with a sample dataset
-set.seed(12345)
-
-data(exposure.response.sample)
-
-fit.emax <- stan_emax(response ~ exposure, data = exposure.response.sample,
-                      # the next line is only to make the output short
-                      chains = 1, iter = 500, seed = 12345)
-#> 
-#> SAMPLING FOR MODEL 'emax' NOW (CHAIN 1).
-#> Chain 1: 
-#> Chain 1: Gradient evaluation took 8.1e-05 seconds
-#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.81 seconds.
-#> Chain 1: Adjust your expectations accordingly!
-#> Chain 1: 
-#> Chain 1: 
-#> Chain 1: Iteration:   1 / 500 [  0%]  (Warmup)
-#> Chain 1: Iteration:  50 / 500 [ 10%]  (Warmup)
-#> Chain 1: Iteration: 100 / 500 [ 20%]  (Warmup)
-#> Chain 1: Iteration: 150 / 500 [ 30%]  (Warmup)
-#> Chain 1: Iteration: 200 / 500 [ 40%]  (Warmup)
-#> Chain 1: Iteration: 250 / 500 [ 50%]  (Warmup)
-#> Chain 1: Iteration: 251 / 500 [ 50%]  (Sampling)
-#> Chain 1: Iteration: 300 / 500 [ 60%]  (Sampling)
-#> Chain 1: Iteration: 350 / 500 [ 70%]  (Sampling)
-#> Chain 1: Iteration: 400 / 500 [ 80%]  (Sampling)
-#> Chain 1: Iteration: 450 / 500 [ 90%]  (Sampling)
-#> Chain 1: Iteration: 500 / 500 [100%]  (Sampling)
-#> Chain 1: 
-#> Chain 1:  Elapsed Time: 0.158951 seconds (Warm-up)
-#> Chain 1:                0.065293 seconds (Sampling)
-#> Chain 1:                0.224244 seconds (Total)
-#> Chain 1:
-#> Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.
-#> Running the chains for more iterations may help. See
-#> http://mc-stan.org/misc/warnings.html#tail-ess
    -
    -fit.emax
-#> ---- Emax model fit with rstanemax ----
-#> 
-#>        mean se_mean    sd  2.5%   25%   50%   75%  97.5%  n_eff Rhat
-#> emax  92.01    0.47  6.49 79.08 87.94 92.11 96.35 103.43 188.95    1
-#> e0     5.69    0.35  4.92 -2.87  2.13  5.90  9.07  15.00 192.44    1
-#> ec50  75.78    1.23 19.37 44.51 62.88 72.26 85.34 124.31 246.47    1
-#> gamma  1.00     NaN  0.00  1.00  1.00  1.00  1.00   1.00    NaN  NaN
-#> sigma 16.65    0.13  1.66 13.77 15.47 16.55 17.55  20.20 157.45    1
-#> 
-#> * Use `extract_stanfit()` function to extract raw stanfit object
-#> * Use `extract_param()` function to extract posterior draws of key parameters
-#> * Use `plot()` function to visualize model fit
-#> * Use `posterior_predict()` or `posterior_predict_quantile()` function to get
-#>   raw predictions or make predictions on new data
-#> * Use `extract_obs_mod_frame()` function to extract raw data 
-#>   in a processed format (useful for plotting)
    -
    -plot(fit.emax)
    -

    -
    -
    -

    References -

    -

    Fitting the Emax Model in R has nice intro on Emax (with kindly introducing this package). brms implementation of the same model can be found here.

    -
    -
    -
    - - -
    - - -
    -

    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    -

    Site built with pkgdown 2.0.7.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/link.svg b/docs/link.svg deleted file mode 100755 index 88ad827..0000000 --- a/docs/link.svg +++ /dev/null @@ -1,12 +0,0 @@ - - - - - - diff --git a/docs/news/index.html b/docs/news/index.html deleted file mode 100755 index 27f9231..0000000 --- a/docs/news/index.html +++ /dev/null @@ -1,123 +0,0 @@ - -Changelog • rstanemax - - -
    -
    - - - -
    -
    -
    -

    Changelog

    - Source: NEWS.md -
    - -
    -

    rstanemax 0.1.4

    -
    -

    Minor changes

    -
    • Added extract_param() function to easily retrieve posterior draws of key parameters
      • -
    • Delegate installation to rstantools (@andrjohns)
      • -
    -
    -
    -

    rstanemax 0.1.32020-11-24

    -
    -

    Minor changes

    -
    • Bug fix - disable options(lifecycle_verbosity = "error") to avoid unnecessary errors
      • -
    -
    -
    -

    rstanemax 0.1.22020-06-18

    -
    -

    Minor changes

    -
    • You can now fix Emax with emax.fix argument for stan_emax() function.
      • -
    -
    -
    -

    rstanemax 0.1.12019-11-19

    -
    -

    Breaking changes

    -
    • For posterior prediction, the column name of the newdata needs to be the same as the one in the original input data, instead of exposure in the previous version.
      • -
    -
    -

    Major changes

    -
    -
    -
    -

    rstanemax 0.1.02019-05-31

    -

    Initial CRAN release

    -
    -
    - - - -
    - - -
    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/pkgdown.css b/docs/pkgdown.css deleted file mode 100644 index 80ea5b8..0000000 --- a/docs/pkgdown.css +++ /dev/null @@ -1,384 +0,0 @@ -/* Sticky footer */ - -/** - * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ - * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css - * - * .Site -> body > .container - * .Site-content -> body > .container .row - * .footer -> footer - * - * Key idea seems to be to ensure that .container and __all its parents__ - * have height set to 100% - * - */ - -html, body { - height: 100%; -} - -body { - position: relative; -} - -body > .container { - display: flex; - height: 100%; - flex-direction: column; -} - -body > .container .row { - flex: 1 0 auto; -} - -footer { - margin-top: 45px; - padding: 35px 0 36px; - border-top: 1px solid #e5e5e5; - color: #666; - display: flex; - flex-shrink: 0; -} -footer p { - margin-bottom: 0; -} -footer div { - flex: 1; 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-} -.hanging-indent div.csl-entry { - margin-left:2em; - text-indent:-2em; -} -div.csl-left-margin { - min-width:2em; - float:left; -} -div.csl-right-inline { - margin-left:2em; - padding-left:1em; -} -div.csl-indent { - margin-left: 2em; -} diff --git a/docs/pkgdown.js b/docs/pkgdown.js deleted file mode 100644 index 6f0eee4..0000000 --- a/docs/pkgdown.js +++ /dev/null @@ -1,108 +0,0 @@ -/* http://gregfranko.com/blog/jquery-best-practices/ */ -(function($) { - $(function() { - - $('.navbar-fixed-top').headroom(); - - $('body').css('padding-top', $('.navbar').height() + 10); - $(window).resize(function(){ - $('body').css('padding-top', $('.navbar').height() + 10); - }); - - $('[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
  • , and enclosing
  • 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); - } - - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } - - return(haystack.length); - } - - /* Clipboard --------------------------*/ - - function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-original-title'); - element.setAttribute('data-original-title', msg); - $(element).tooltip('show'); - element.setAttribute('data-original-title', tooltipOriginalTitle); - } - - if(ClipboardJS.isSupported()) { - $(document).ready(function() { - var copyButton = ""; - - $("div.sourceCode").addClass("hasCopyButton"); - - // Insert copy buttons: - $(copyButton).prependTo(".hasCopyButton"); - - // Initialize tooltips: - $('.btn-copy-ex').tooltip({container: 'body'}); - - // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { - text: function(trigger) { - return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); - } - }); - - clipboardBtnCopies.on('success', function(e) { - changeTooltipMessage(e.trigger, 'Copied!'); - e.clearSelection(); - }); - - clipboardBtnCopies.on('error', function() { - changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); - }); - }); - } -})(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml deleted file mode 100755 index e5e23a4..0000000 --- a/docs/pkgdown.yml +++ /dev/null @@ -1,7 +0,0 @@ -pandoc: 2.19.2 -pkgdown: 2.0.7 -pkgdown_sha: ~ -articles: - emaxmodel: emaxmodel.html -last_built: 2023-02-16T07:36Z - diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png deleted file mode 100644 index 17a358060aed2a86950757bbd25c6f92c08c458f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1011 zcmeAS@N?(olHy`uVBq!ia0y~yV0-|=9Be?5+AI5}0x7m6Z+90U4Fo@(ch>_c&H|6f zVg?3oArNM~bhqvg0|WD9PZ!6KiaBo&GBN^{G%5UFpXcEKVvd5*5Eu=C0SJK)8A6*F U7`aXvEC5;V>FVdQ&MBb@00SN#Z2$lO diff --git a/docs/reference/exposure.response.sample.html b/docs/reference/exposure.response.sample.html deleted file mode 100755 index 36b06c5..0000000 --- a/docs/reference/exposure.response.sample.html +++ /dev/null @@ -1,125 +0,0 @@ - -Sample simulated data for exposure-response. — exposure.response.sample • rstanemax - - -
    -
    - - - -
    -
    -
    -

    Sample simulated data for exposure-response.

    - Source: R/yyy.R - -
    - -
    -

    Sample simulated data for exposure-response.

    -
    - -
    - 
    exposure.response.sample
    -
    - -
    -

    Format

    -

    A data frame with columns:

    dose
    -

    Dose levels used for simulation of pharmacokinetics

    - -
    exposure
    -

    Simulated exposure

    - -
    response
    -

    Simulated pharmacodynamic response

    - - -
    - -
    -

    Examples

    - 
    exposure.response.sample
-#> # A tibble: 60 × 3
-#>     dose exposure response
-#>    <dbl>    <dbl>    <dbl>
-#>  1     0        0    17.2 
-#>  2     0        0     9.78
-#>  3     0        0    -8.81
-#>  4     0        0     7.68
-#>  5     0        0    -6.30
-#>  6     0        0    14.8 
-#>  7     0        0   -18.5 
-#>  8     0        0    17.3 
-#>  9     0        0    15.0 
-#> 10     0        0    11.3 
-#> # … with 50 more rows
-
    -
    -
    - -
    - - -
    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/exposure.response.sample.test.html b/docs/reference/exposure.response.sample.test.html deleted file mode 100755 index a66023a..0000000 --- a/docs/reference/exposure.response.sample.test.html +++ /dev/null @@ -1,195 +0,0 @@ - - - - - - - - -Sample simulated data for exposure-response with covariates for package testing — exposure.response.sample.test • rstanemax - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - - -
    - -
    -
    -
    -

    Sample simulated data for exposure-response with covariates for package testing

    - Source: R/yyy.R - -
    - -
    -

    Sample simulated data for exposure-response with covariates for package testing

    -
    - - 
    exposure.response.sample.test
    - - -

    Format

    - -

    A data frame with columns:

    -
    dose

    Dose levels used for simulation of pharmacokinetics

    -
    conc

    Simulated exposure

    -
    resp

    Simulated pharmacodynamic response

    -
    cov1

    Covariate 1 for e0

    -
    cov2

    Covariate 2 for emax

    -
    cov3

    Covariate 3 for ec50 (data type factor)

    -
    cov3num

    Covariate 3 for ec50 (data type numeric)

    - -
    - - -

    Examples

    - 
    exposure.response.sample
-
    #> # A tibble: 60 x 3
-#>     dose exposure response
-#>    <dbl>    <dbl>    <dbl>
-#>  1     0        0    17.2 
-#>  2     0        0     9.78
-#>  3     0        0    -8.81
-#>  4     0        0     7.68
-#>  5     0        0    -6.30
-#>  6     0        0    14.8 
-#>  7     0        0   -18.5 
-#>  8     0        0    17.3 
-#>  9     0        0    15.0 
-#> 10     0        0    11.3 
-#> # … with 50 more rows
    -
    - -
    - - -
    -
    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    Site built with pkgdown 1.6.1.

    -
    - -
    -
    - - - - - - - - diff --git a/docs/reference/exposure.response.sample.with.cov.html b/docs/reference/exposure.response.sample.with.cov.html deleted file mode 100644 index 2c33baa..0000000 --- a/docs/reference/exposure.response.sample.with.cov.html +++ /dev/null @@ -1,137 +0,0 @@ - -Sample simulated data for exposure-response with covariates — exposure.response.sample.with.cov • rstanemax - - -
    -
    - - - -
    -
    -
    -

    Sample simulated data for exposure-response with covariates

    - Source: R/yyy.R - -
    - -
    -

    Sample simulated data for exposure-response with covariates

    -
    - -
    - 
    exposure.response.sample.with.cov
    -
    - -
    -

    Format

    -

    A data frame with columns:

    dose
    -

    Dose levels used for simulation of pharmacokinetics

    - -
    conc
    -

    Simulated exposure

    - -
    resp
    -

    Simulated pharmacodynamic response

    - -
    cov1
    -

    Covariate 1 for e0

    - -
    cov2
    -

    Covariate 2 for emax

    - -
    cov3
    -

    Covariate 3 for ec50 (data type factor)

    - -
    cov3num
    -

    Covariate 3 for ec50 (data type numeric)

    - - -
    - -
    -

    Examples

    - 
    exposure.response.sample
-#> # A tibble: 60 × 3
-#>     dose exposure response
-#>    <dbl>    <dbl>    <dbl>
-#>  1     0        0    17.2 
-#>  2     0        0     9.78
-#>  3     0        0    -8.81
-#>  4     0        0     7.68
-#>  5     0        0    -6.30
-#>  6     0        0    14.8 
-#>  7     0        0   -18.5 
-#>  8     0        0    17.3 
-#>  9     0        0    15.0 
-#> 10     0        0    11.3 
-#> # … with 50 more rows
-
    -
    -
    - -
    - - -
    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
    - -
    - - - - - - - - diff --git a/docs/reference/extract_param.html b/docs/reference/extract_param.html deleted file mode 100644 index 356935e..0000000 --- a/docs/reference/extract_param.html +++ /dev/null @@ -1,108 +0,0 @@ - -Extract posterior draws of key parameters — extract_param • rstanemax - - -
    -
    - - - -
    -
    -
    -

    Extract posterior draws of key parameters

    - Source: R/extract_param.R - -
    - -
    -

    Extract posterior draws of key parameters

    -
    - -
    - 
    extract_param(object)
    -
    - -
    -

    Arguments

    -
    object
    -

    A stanemax class object

    - -
    -
    -

    Value

    - - -

    A tibble containing posterior draws of key parameters. -If covariate(s) are included in the model, posterior draws for different combinations -of covariates are supplied in a long format - e.g. if there are posterior draws of 100 samples -and 4 levels of the covariates, the returned tibble will have the length of 400

    -
    - -
    - -
    - - -
    -

    Developed by Kenta Yoshida.

    -
    - -
    -

    Site built with pkgdown 2.0.7.

    -
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    Reference

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    All functions

    -

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    exposure.response.sample

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    Sample simulated data for exposure-response.

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    exposure.response.sample.with.cov

    -

    Sample simulated data for exposure-response with covariates

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    extract_param()

    -

    Extract posterior draws of key parameters

    -

    posterior_predict(<stanemax>) posterior_predict_quantile()

    -

    Outcome prediction from posterior distribution of parameters

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    rstanemax-package rstanemax

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    The 'rstanemax' package.

    -

    stan_emax()

    -

    Bayesian Emax model fit with Stan

    -

    print(<stanemax>) extract_stanfit() extract_obs_mod_frame() plot(<stanemax>)

    -

    Methods for stanemax objects

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    Developed by Kenta Yoshida.

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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/reference/pipe.html b/docs/reference/pipe.html deleted file mode 100755 index 965be4c..0000000 --- a/docs/reference/pipe.html +++ /dev/null @@ -1,166 +0,0 @@ - - - - - - - - -Pipe operator — %>% • rstanemax - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Pipe operator

    - Source: R/utils.R - -
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    See %>% for more details.

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    lhs %>% rhs
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    Developed by Kenta Yoshida.

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    Site built with pkgdown 1.5.1.

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    - - - - - - - - diff --git a/docs/reference/posterior_predict.html b/docs/reference/posterior_predict.html deleted file mode 100755 index 6c4837d..0000000 --- a/docs/reference/posterior_predict.html +++ /dev/null @@ -1,172 +0,0 @@ - -Outcome prediction from posterior distribution of parameters — posterior_predict • rstanemax - - -
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    Outcome prediction from posterior distribution of parameters

    - Source: R/posterior_predict.R - -
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    Compute outcome predictions using posterior samples. -Exposure data for prediction can be either original data used for model fit or new data.

    -
    - -
    - 
    # S3 method for stanemax
-posterior_predict(
-  object,
-  newdata = NULL,
-  returnType = c("matrix", "dataframe", "tibble"),
-  newDataType = c("raw", "modelframe"),
-  ...
-)
-
-posterior_predict_quantile(
-  object,
-  newdata = NULL,
-  ci = 0.9,
-  pi = 0.9,
-  newDataType = c("raw", "modelframe")
-)
    -
    - -
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    Arguments

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    object
    -

    A stanemax class object

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    newdata
    -

    An optional data frame that contains columns needed for model to run (exposure and covariates). -If the model does not have any covariate, this can be a numeric vector corresponding to the exposure metric.

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    returnType
    -

    An optional string specifying the type of return object.

    - - -
    newDataType
    -

    An optional string specifying the type of newdata input, -whether in the format of an original data frame or a processed model frame. -Mostly used for internal purposes and users can usually leave at default.

    - - -
    ...
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    Additional arguments passed to methods.

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    ci
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    Credible interval of the response without residual variability.

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    pi
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    Prediction interval of the response with residual variability.

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    Value

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    An object that contain predicted response with posterior distribution of parameters. -The default is a matrix containing predicted response. -Each row of the matrix is a vector of predictions generated using a single draw of the model parameters from the posterior distribution.

    - - -

    If either dataframe or tibble is specified, the function returns a data frame or tibble object in a long format - -each row is a prediction generated using a single draw of the model parameters and a corresponding exposure.

    - - -

    Two types of predictions are generated with this function. -respHat corresponds to the prediction without considering residual variability and is intended to provide credible interval of "mean" response. -response include residual variability in its calculation, therefore the range represents prediction interval of observed response.

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    The return object also contains exposure and parameter values used for calculation.

    - - -

    With posterior_predict_quantile() function, you can obtain quantiles -of respHat and response as specified by ci and pi.

    -
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    Details

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    Run vignette("emaxmodel", package = "rstanemax") to see -how you can use the posterior prediction for plotting estimated Emax curve.

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    Developed by Kenta Yoshida.

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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html deleted file mode 100755 index 6c12ce3..0000000 --- a/docs/reference/reexports.html +++ /dev/null @@ -1,102 +0,0 @@ - -Objects exported from other packages — reexports • rstanemax - - -
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    Objects exported from other packages

    - Source: R/utils.R - -
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    These objects are imported from other packages. Follow the links -below to see their documentation.

    -
    magrittr
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    %>%

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    Developed by Kenta Yoshida.

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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/reference/rstanemax-package.html b/docs/reference/rstanemax-package.html deleted file mode 100755 index ad75133..0000000 --- a/docs/reference/rstanemax-package.html +++ /dev/null @@ -1,94 +0,0 @@ - -The 'rstanemax' package. — rstanemax-package • rstanemax - - -
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    The 'rstanemax' package.

    - Source: R/rstanemax-package.R - -
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    Perform sigmoidal Emax model fit using Stan without writing Stan model code.

    -
    - - -
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    References

    -

    Stan Development Team (2018). RStan: the R interface to Stan. R package version 2.18.2. http://mc-stan.org

    -
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    Developed by Kenta Yoshida.

    -
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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/reference/stan_emax.html b/docs/reference/stan_emax.html deleted file mode 100755 index 362f013..0000000 --- a/docs/reference/stan_emax.html +++ /dev/null @@ -1,191 +0,0 @@ - -Bayesian Emax model fit with Stan — stan_emax • rstanemax - - -
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    Bayesian Emax model fit with Stan

    - Source: R/stan_emax.R - -
    - -
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    Run sigmoidal Emax model fit with formula notation

    -
    - -
    - 
    stan_emax(
-  formula,
-  data,
-  gamma.fix = 1,
-  e0.fix = NULL,
-  emax.fix = NULL,
-  priors = NULL,
-  param.cov = NULL,
-  ...
-)
    -
    - -
    -

    Arguments

    -
    formula
    -

    a symbolic description of variables for Emax model fit.

    - - -
    data
    -

    an optional data frame containing the variables in the model.

    - - -
    gamma.fix
    -

    a (positive) numeric or NULL to specify gamma (Hill coefficient) in the sigmoidal Emax model. -If NULL, gamma will be estimated from the data. -If numeric, gamma is fixed at the number provided. -Default = 1 (normal Emax model).

    - - -
    e0.fix
    -

    a numeric or NULL to specify E0 in the Emax model. -If NULL, E0 will be estimated from the data. -If numeric, E0 is fixed at the number provided. -Default = NULL (estimate from the data).

    - - -
    emax.fix
    -

    a numeric or NULL to specify Emax in the Emax model. -If NULL, Emax will be estimated from the data. -If numeric, Emax is fixed at the number provided. -Default = NULL (estimate from the data).

    - - -
    priors
    -

    a named list specifying priors of parameters (ec50, emax, e0, gamma, sigma). -Each list item should be length 2 numeric vector, one corresponding to mean and -another corresponding to standard deviation. -Currently only supports normal distribution for priors.

    - - -
    param.cov
    -

    a named list specifying categorical covariates on parameters (ec50, emax, e0). -Convert a column into factor if specific order of covariates are needed.

    - - -
    ...
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    Arguments passed to rstan::sampling (e.g. iter, chains).

    - -
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    Value

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    An object of class stanemax

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    Details

    -

    The following structure is used for the Emax model: -$$Response = e_0 + e_{max} \times exposure ^{\gamma} / (ec50 ^{\gamma} + exposure ^ {\gamma}) + \epsilon$$ -$$\epsilon \sim N(0, \sigma^2)$$

    -
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    Examples

    - 
    if (FALSE) {
-data(exposure.response.sample)
-fit1 <- stan_emax(response ~ exposure, data = exposure.response.sample,
-                  # the next line is only to make the example go fast enough
-                  chains = 1, iter = 500, seed = 12345)
-print(fit1)
-
-# Set priors manually, also estimate gamma instead of the default of fix to 1
-fit2 <- stan_emax(response ~ exposure, data = exposure.response.sample, gamma.fix = NULL,
-                  priors = list(ec50  = c(100, 30), emax  = c(100, 30), e0 = c(10, 5),
-                                gamma = c(0, 3), sigma = c(0, 30)),
-                  # the next line is only to make the example go fast enough
-                  chains = 1, iter = 500, seed = 12345)
-print(fit2)
-
-data(exposure.response.sample.with.cov)
-# Specify covariates
-fit3 <- stan_emax(formula = resp ~ conc, data = exposure.response.sample.with.cov,
-                  param.cov = list(emax = "cov2", ec50 = "cov3", e0 = "cov1"),
-                  # the next line is only to make the example go fast enough
-                  chains = 1, iter = 500, seed = 12345)
-print(fit3)
-}
-
-
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    Developed by Kenta Yoshida.

    -
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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/reference/stanemax-methods.html b/docs/reference/stanemax-methods.html deleted file mode 100755 index 27c6400..0000000 --- a/docs/reference/stanemax-methods.html +++ /dev/null @@ -1,135 +0,0 @@ - -Methods for stanemax objects — stanemax-methods • rstanemax - - -
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    Methods for stanemax objects

    - Source: R/stanemax-methods.R - -
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    Methods for stanemax objects

    -
    - -
    - 
    # S3 method for stanemax
-print(x, digits_summary = 2, ...)
-
-extract_stanfit(x)
-
-extract_obs_mod_frame(x)
-
-# S3 method for stanemax
-plot(x, show.ci = TRUE, show.pi = FALSE, ci = 0.9, pi = 0.9, ...)
    -
    - -
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    Arguments

    -
    x
    -

    An object of class stanemax

    - - -
    digits_summary
    -

    The number of significant digits to use when printing -the summary, defaulting to 2. Applies to the quantities other than the -effective sample size, which is always rounded to the nearest integer.

    - - -
    ...
    -

    Additional arguments passed to methods.

    - - -
    show.ci
    -

    An logical specifying if the output figure include -credible interval of posterior prediction. Default TRUE.

    - - -
    show.pi
    -

    An logical specifying if the output figure include -prediction interval. Default FALSE.

    - - -
    ci
    -

    Credible interval range.

    - - -
    pi
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    Prediction interval range.

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    Developed by Kenta Yoshida.

    -
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    Site built with pkgdown 2.0.7.

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    - - - - - - - - diff --git a/docs/sitemap.xml b/docs/sitemap.xml deleted file mode 100644 index fe56863..0000000 --- a/docs/sitemap.xml +++ /dev/null @@ -1,57 +0,0 @@ - - - - /404.html - - - /LICENSE-text.html - - - /articles/emaxmodel.html - - - /articles/index.html - - - /authors.html - - - /index.html - - - /news/index.html - - - /reference/exposure.response.sample.html - - - /reference/exposure.response.sample.test.html - - - /reference/exposure.response.sample.with.cov.html - - - /reference/extract_param.html - - - /reference/index.html - - - /reference/pipe.html - - - /reference/posterior_predict.html - - - /reference/reexports.html - - - /reference/rstanemax-package.html - - - /reference/stan_emax.html - - - /reference/stanemax-methods.html - - diff --git a/man/rstanemax-package.Rd b/man/rstanemax-package.Rd index f0e072a..77663f3 100644 --- a/man/rstanemax-package.Rd +++ b/man/rstanemax-package.Rd @@ -15,6 +15,7 @@ Stan Development Team (2018). RStan: the R interface to Stan. R package version Useful links: \itemize{ \item \url{https://github.com/yoshidk6/rstanemax} + \item \url{https://yoshidk6.github.io/rstanemax/} \item Report bugs at \url{https://github.com/yoshidk6/rstanemax/issues} } @@ -22,6 +23,11 @@ Useful links: \author{ \strong{Maintainer}: Kenta Yoshida \email{yoshida.kenta.6@gmail.com} (\href{https://orcid.org/0000-0003-4967-3831}{ORCID}) +Authors: +\itemize{ + \item Danielle Navarro \email{djnavarro@protonmail.com} +} + Other contributors: \itemize{ \item Trustees of Columbia University (src/init.cpp, tools/make_cc.R, R/stanmodels.R) [copyright holder]

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