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, 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


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