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 [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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=lmeresampler to link to this page.
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