mlmpower: Power Analysis and Data Simulation for Multilevel Models

A declarative language for specifying multilevel models, solving for population parameters based on specified variance-explained effect size measures, generating data, and conducting power analyses to determine sample size recommendations. The specification allows for any number of within-cluster effects, between-cluster effects, covariate effects at either level, and random coefficients. Moreover, the models do not assume orthogonal effects, and predictors can correlate at either level and accommodate models with multiple interaction effects.

Version: 1.0.5
Depends: R (≥ 4.0.0)
Imports: cli, lme4, lmerTest, varTestnlme
Suggests: knitr, rmarkdown
Published: 2024-01-29
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller at missouri.edu>
BugReports: https://github.com/bkeller2/mlmpower/issues
License: GPL-3
URL: https://github.com/bkeller2/mlmpower
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlmpower results

Documentation:

Reference manual: mlmpower.pdf
Vignettes: Using 'mlmpower' Package to Conduct Multilevel Power Analysis

Downloads:

Package source: mlmpower_1.0.5.tar.gz
Windows binaries: r-devel: mlmpower_1.0.5.zip, r-release: mlmpower_1.0.5.zip, r-oldrel: mlmpower_1.0.5.zip
macOS binaries: r-release (arm64): mlmpower_1.0.5.tgz, r-oldrel (arm64): mlmpower_1.0.5.tgz, r-release (x86_64): mlmpower_1.0.5.tgz
Old sources: mlmpower archive

Linking:

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