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: 1.0.2
Depends: R (≥ 4.0.0)
Imports: cli, lme4, lmerTest, varTestnlme
Suggests: knitr, rmarkdown
Published: 2023-06-19
Author: Brian T. Keller [aut, cre, cph]
Maintainer: Brian T. Keller <btkeller at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlmpower results


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


Package source: mlmpower_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mlmpower_1.0.2.tgz, r-oldrel (arm64): mlmpower_1.0.2.tgz, r-release (x86_64): mlmpower_1.0.2.tgz, r-oldrel (x86_64): mlmpower_1.0.2.tgz
Old sources: mlmpower archive


Please use the canonical form to link to this page.