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: 0.3.0
Depends: R (≥ 3.0.2), arm, lme4 (≥ 1.1-11), methods, dplyr
Imports: mvtnorm, DT, shiny, abind, ggplot2, blme, broom
Suggests: testthat, knitr, rmarkdown, foreach, parallel, rstanarm
Published: 2016-12-12
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut]
Maintainer: Jared E. Knowles <jknowles at gmail.com>
BugReports: https://www.github.com/jknowles/merTools
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: merTools results

Downloads:

Reference manual: merTools.pdf
Vignettes: Prediction Intervals from merMod Objects
An Introduction to merTools
Package source: merTools_0.3.0.tar.gz
Windows binaries: r-devel: merTools_0.3.0.zip, r-release: merTools_0.3.0.zip, r-oldrel: merTools_0.3.0.zip
OS X El Capitan binaries: r-release: merTools_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: merTools_0.3.0.tgz
Old sources: merTools archive

Reverse dependencies:

Reverse imports: sjPlot

Linking:

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