mlmhelpr: Multilevel/Mixed Model Helper Functions

A collection of miscellaneous helper function for running multilevel/mixed models in 'lme4'. This package aims to provide functions to compute common tasks when estimating multilevel models such as computing the intraclass correlation and design effect, centering variables, estimating the proportion of variance explained at each level, pseudo-R squared, random intercept and slope reliabilities, tests for homogeneity of variance at level-1, and cluster robust and bootstrap standard errors. The tests and statistics reported in the package are from Raudenbush & Bryk (2002, ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders & Bosker (2012, ISBN:9781849202015).

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: lme4, stats, utils, Rdpack, mathjaxr
Suggests: clubSandwich, testthat (≥ 3.0.0), knitr
Published: 2024-05-21
DOI: 10.32614/CRAN.package.mlmhelpr
Author: Louis Rocconi ORCID iD [aut, cre], Anthony Schmidt ORCID iD [aut]
Maintainer: Louis Rocconi <lrocconi at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: MixedModels
CRAN checks: mlmhelpr results


Reference manual: mlmhelpr.pdf


Package source: mlmhelpr_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlmhelpr_0.1.1.tgz, r-oldrel (arm64): mlmhelpr_0.1.1.tgz, r-release (x86_64): mlmhelpr_0.1.1.tgz, r-oldrel (x86_64): mlmhelpr_0.1.1.tgz
Old sources: mlmhelpr archive


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