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
Config/pak/sysreqs: libicu-dev
Repository: https://aloy.r-universe.dev
Date/Publication: 2023-12-07 14:50:53 UTC
RemoteUrl: https://github.com/aloy/lmeresampler
RemoteRef: HEAD
RemoteSha: d5124646d9fd9f1e3cab4746b05927f5e05e0ae2
NeedsCompilation: no
Packaged: 2026-07-02 06:57:16 UTC; root
Author: Adam Loy [aut, cre] (ORCID: <https://orcid.org/0000-0002-5780-4611>),
  Spenser Steele [aut],
  Jenna Korobova [aut],
  Ilmari Tamminen [ctb]
Maintainer: Adam Loy <loyad01@gmail.com>