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, 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) , Carpenter, Goldstein & Rasbash (2003) , and Chambers & Chandra (2013) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("lmeresampler")

0.2.0 by Adam Loy, 6 months ago


https://github.com/aloy/lmeresampler


Report a bug at https://github.com/aloy/lmeresampler/issues


Browse source code at https://github.com/cran/lmeresampler


Authors: Adam Loy [aut, cre] , Spenser Steele [aut] , Jenna Korobova [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports catchr, dplyr, Matrix, nlmeU, ggplot2, ggdist, HLMdiag, purrr, forcats, stats, statmod, magrittr

Suggests lme4, nlme, testthat, mlmRev, knitr, rmarkdown, doParallel, foreach


Imported by varTestnlme.


See at CRAN