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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 |
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 imports: | fastFMM, varTestnlme |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.