merTools: Tools for Analyzing Mixed Effect Regression Models

Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models.

Version: 0.5.2
Depends: R (≥ 3.0.2), arm, lme4 (≥ 1.1-11), methods
Imports: dplyr, mvtnorm, foreach, shiny, abind, ggplot2, blme, broom.mixed
Suggests: testthat, knitr, rmarkdown, parallel, nlme, future.apply, rstanarm, Amelia, DT
Published: 2020-06-23
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer: Jared E. Knowles <jknowles at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: merTools results


Reference manual: merTools.pdf
Vignettes: Prediction Intervals from merMod Objects
Marginalizing Random Effect Levels
An Introduction to merTools
Package source: merTools_0.5.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: merTools_0.5.2.tgz, r-oldrel: merTools_0.5.2.tgz
Old sources: merTools archive

Reverse dependencies:

Reverse suggests: modelbased, rmcorr


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