Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, semi-parametric (i.e., CGR), and random effect block (REB) 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: | 0.1.1 |
| Depends: | R (≥ 3.1.2) |
| Imports: | boot, plyr, dplyr (≥ 0.8.0), Matrix, nlmeU, RLRsim |
| Suggests: | lme4 (≥ 1.1-7), nlme, testthat, mlmRev |
| Published: | 2020-01-31 |
| Author: | Adam Loy [aut, cre], Spenser steele [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 |
| CRAN checks: | lmeresampler results |
| Reference manual: | lmeresampler.pdf |
| Package source: | lmeresampler_0.1.1.tar.gz |
| Windows binaries: | r-prerelease: lmeresampler_0.1.1.zip, r-release: lmeresampler_0.1.1.zip, r-oldrel: lmeresampler_0.1.1.zip |
| macOS binaries: | r-prerelease: lmeresampler_0.1.1.tgz, r-release: lmeresampler_0.1.1.tgz, r-oldrel: lmeresampler_0.1.1.tgz |
| Old sources: | lmeresampler archive |
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