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.

Documentation

Manual: lmeresampler.pdf
Vignette: None available.

Maintainer: Adam Loy <loyad01 at gmail.com>

Author(s): Adam Loy*, Spenser steele*

Install package and any missing dependencies by running this line in your R console:

install.packages("lmeresampler")

Depends R (>= 3.1.2)
Imports boot, plyr, dplyr, Matrix, nlmeU, RLRsim
Suggests lme4(>=1.1-7), nlme, testthat, mlmRev
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Package lmeresampler
Materials
URL https://github.com/aloy/lmeresampler
Task Views
Version 0.1.0
Published 2016-07-15
License GPL-3
BugReports https://github.com/aloy/lmeresampler/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks lmeresampler check results
Package source lmeresampler_0.1.0.tar.gz