multilevelTools: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: lme4, lmerTest, data.table (≥ 1.12.0), nlme, extraoperators (≥ 0.1.1), JWileymisc (≥ 1.1.0), cowplot, ggplot2, lavaan, zoo
Suggests: testthat (≥ 2.1.0), covr, knitr, rmarkdown
Published: 2020-03-04
Author: Joshua F. Wiley ORCID iD [aut, cre]
Maintainer: Joshua F. Wiley <jwiley.psych at gmail.com>
BugReports: https://github.com/JWiley/multilevelTools/issues
License: GPL (≥ 3)
URL: http://joshuawiley.com/multilevelTools, https://github.com/JWiley/multilevelTools
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels
CRAN checks: multilevelTools results

Documentation:

Reference manual: multilevelTools.pdf
Vignettes: multilevel-lmer-vignette

Downloads:

Package source: multilevelTools_0.1.1.tar.gz
Windows binaries: r-devel: multilevelTools_0.1.1.zip, r-release: multilevelTools_0.1.1.zip, r-oldrel: multilevelTools_0.1.1.zip
macOS binaries: r-release (arm64): multilevelTools_0.1.1.tgz, r-oldrel (arm64): multilevelTools_0.1.1.tgz, r-release (x86_64): multilevelTools_0.1.1.tgz

Linking:

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