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) .


Reference manual

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0.2.0 by Adam Loy, 6 months ago

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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