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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:0.6.3
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:2025-09-05
DOI:10.32614/CRAN.package.merTools
Author:Jared E. Knowles [aut, cre], Carl Frederick [aut], Alex Whitworth [ctb]
Maintainer:Jared E. Knowles <jared at civilytics.com>
BugReports:https://github.com/jknowles/merTools/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:no
Materials:README,NEWS
In views:MixedModels
CRAN checks:merTools results

Documentation:

Reference manual:merTools.html ,merTools.pdf
Vignettes:Prediction Intervals from merMod Objects (source)
Imputation (source)
Marginalizing Random Effect Levels (source)
An Introduction to merTools (source)

Downloads:

Package source: merTools_0.6.3.tar.gz
Windows binaries: r-devel:merTools_0.6.3.zip, r-release:merTools_0.6.3.zip, r-oldrel:merTools_0.6.3.zip
macOS binaries: r-release (arm64):merTools_0.6.3.tgz, r-oldrel (arm64):merTools_0.6.3.tgz, r-release (x86_64):merTools_0.6.3.tgz, r-oldrel (x86_64):merTools_0.6.3.tgz
Old sources: merTools archive

Reverse dependencies:

Reverse imports:CalibrationCurves
Reverse suggests:insight,rmcorr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=merToolsto link to this page.


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