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
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:

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