Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, semi-parametric (i.e., CGR), residual, cases, and random effect block (REB) bootstrap procedures.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1.2) |
| Imports: | boot, plyr, dplyr, Matrix, nlmeU, RLRsim |
| Suggests: | lme4 (≥ 1.1-7), nlme, testthat, mlmRev |
| Published: | 2016-07-15 |
| 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_0.1.0.tar.gz |
| Windows binaries: | r-devel: lmeresampler_0.1.0.zip, r-release: lmeresampler_0.1.0.zip, r-oldrel: lmeresampler_0.1.0.zip |
| OS X Mavericks binaries: | r-release: lmeresampler_0.1.0.tgz, r-oldrel: lmeresampler_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=lmeresampler to link to this page.