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: 0.1.0
Depends: R (≥ 2.10)
Imports: lme4, stats, utils, Rdpack, mathjaxr
Suggests: clubSandwich, testthat (≥ 3.0.0), knitr
Published: 2022-11-04
Author: Louis Rocconi ORCID iD [aut, cre], Anthony Schmidt ORCID iD [aut]
Maintainer: Louis Rocconi <lrocconi at utk.edu>
BugReports: https://github.com/lrocconi/mlmhelpr/issues
License: MIT + file LICENSE
URL: https://github.com/lrocconi/mlmhelpr
NeedsCompilation: no
Materials: README
CRAN checks: mlmhelpr results

Documentation:

Reference manual: mlmhelpr.pdf

Downloads:

Package source: mlmhelpr_0.1.0.tar.gz
Windows binaries: r-devel: mlmhelpr_0.1.0.zip, r-release: mlmhelpr_0.1.0.zip, r-oldrel: mlmhelpr_0.1.0.zip
macOS binaries: r-release (arm64): mlmhelpr_0.1.0.tgz, r-oldrel (arm64): mlmhelpr_0.1.0.tgz, r-release (x86_64): mlmhelpr_0.1.0.tgz

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