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
CRAN checks: multilevelTools results

Downloads:

Reference manual: multilevelTools.pdf
Vignettes: multilevel-lmer-vignette
Package source: multilevelTools_0.1.1.tar.gz
Windows binaries: r-devel: multilevelTools_0.1.1.zip, r-devel-gcc8: multilevelTools_0.1.1.zip, r-release: multilevelTools_0.1.1.zip, r-oldrel: multilevelTools_0.1.1.zip
OS X binaries: r-release: multilevelTools_0.1.1.tgz, r-oldrel: multilevelTools_0.1.1.tgz

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