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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: 0.6.2
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 civilytics.com>
BugReports: https://github.com/jknowles/merTools
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.pdf
Vignettes: Prediction Intervals from merMod Objects
Imputation
Marginalizing Random Effect Levels
An Introduction to merTools

Downloads:

Package source: merTools_0.6.2.tar.gz
Windows binaries: r-devel: merTools_0.6.2.zip, r-release: merTools_0.6.2.zip, r-oldrel: merTools_0.6.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=merTools to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.