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. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.

Version: 0.6.2
Depends: R (≥ 3.0.2), arm, lme4 (≥ 1.1-11), methods
Imports: dplyr, mvtnorm, foreach, shiny, abind, ggplot2, blme, broom.mixed, Matrix
Suggests: testthat, knitr, rmarkdown, parallel, nlme, future.apply, rstanarm, Amelia, DT
Published: 2024-02-08
DOI: 10.32614/CRAN.package.merTools
Author: Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer: Jared E. Knowles <jared at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels
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_0.6.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): merTools_0.6.2.tgz, r-oldrel (arm64): merTools_0.6.2.tgz, r-release (x86_64): merTools_0.6.2.tgz, r-oldrel (x86_64): merTools_0.6.2.tgz
Old sources: merTools archive

Reverse dependencies:

Reverse suggests: insight, rmcorr


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