lmeresampler: Bootstrap Methods for Nested Linear Mixed-Effects Models

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>.

Version: 0.2.4
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
Published: 2023-02-11
DOI: 10.32614/CRAN.package.lmeresampler
Author: Adam Loy ORCID iD [aut, cre], Spenser Steele [aut], Jenna Korobova [aut]
Maintainer: Adam Loy <loyad01 at gmail.com>
BugReports: https://github.com/aloy/lmeresampler/issues
License: GPL-3
URL: https://github.com/aloy/lmeresampler
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels
CRAN checks: lmeresampler results


Reference manual: lmeresampler.pdf
Vignettes: lmeresampler-vignette


Package source: lmeresampler_0.2.4.tar.gz
Windows binaries: r-devel: lmeresampler_0.2.4.zip, r-release: lmeresampler_0.2.4.zip, r-oldrel: lmeresampler_0.2.4.zip
macOS binaries: r-release (arm64): lmeresampler_0.2.4.tgz, r-oldrel (arm64): lmeresampler_0.2.4.tgz, r-release (x86_64): lmeresampler_0.2.4.tgz, r-oldrel (x86_64): lmeresampler_0.2.4.tgz
Old sources: lmeresampler archive

Reverse dependencies:

Reverse imports: fastFMM, varTestnlme


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