DESCRIPTION

Package: lmeresampler
Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Version: 0.2.4
Authors@R: c(person("Adam", "Loy", email = "loyad01@gmail.com",
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5780-4611")), 
    person("Spenser", "Steele", role = "aut"), 
    person("Jenna", "Korobova", role = "aut"),
    person("Ilmari", "Tamminen", role = "ctb"))
Description: Bootstrap routines for nested linear mixed effects models fit using
    either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
    parametric, residual, cases, random effect block (REB), and wild bootstrap 
    procedures. An overview of these procedures can be found 
    in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, 
    Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>,
    and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.
Depends:
    R (>= 3.5.0)
Imports:
    dplyr (>= 0.8.0),
    Matrix,
    nlmeU,
    ggplot2,
    ggdist,
    HLMdiag,
    purrr,
    forcats,
    stats,
    statmod,
    tidyr,
    magrittr,
    tibble
Suggests:
    lme4 (>= 1.1-7),
    nlme,
    testthat,
    mlmRev,
    knitr,
    rmarkdown,
    doParallel,
    foreach
License: GPL-3
LazyData: true
URL: https://github.com/aloy/lmeresampler
BugReports: https://github.com/aloy/lmeresampler/issues
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Encoding: UTF-8