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mixpower: Simulation-Based Power Analysis for Mixed-Effects Models

A comprehensive, simulation-based toolkit for power and sample-size analysis for linear and generalized linear mixed-effects models (LMMs and GLMMs). Supports Gaussian, binomial, Poisson, and negative binomial families via 'lme4'; Wald and likelihood-ratio tests; multi-parameter sensitivity grids; power curves and minimum sample-size solvers; parallel evaluation with deterministic seeds; and full reproducibility (manifests, result bundling, and export to CSV/JSON). Delivers thorough diagnostics per run (failure rate, singular-fit rate, effective N) and publication-ready summary tables. References: Bates et al. (2015) "Fitting Linear Mixed-Effects Models Using lme4" <doi:10.18637/jss.v067.i01>; Green and MacLeod (2016) "SIMR: an R package for power analysis of generalized linear mixed models by simulation" <doi:10.1111/2041-210X.12504>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: stats, lme4
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, digest, jsonlite
Published: 2026-02-12
DOI: 10.32614/CRAN.package.mixpower (may not be active yet)
Author: Mixpower Alex Litovchenko [aut, cre]
Maintainer: Mixpower Alex Litovchenko <al4877 at columbia.edu>
BugReports: https://github.com/alitovchenko/mixpower/issues
License: MIT + file LICENSE
URL: https://github.com/alitovchenko/mixpower
NeedsCompilation: no
Language: en-US
Citation: mixpower citation info
Materials: README, NEWS
CRAN checks: mixpower results

Documentation:

Reference manual: mixpower.html , mixpower.pdf
Vignettes: Designing studies (source, R code)
Diagnostics and sensitivity (source, R code)
mixpower intro (source, R code)
Reproducibility workflow (source, R code)
Running simulations (source, R code)

Downloads:

Package source: mixpower_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: mixpower_0.1.0.zip, r-oldrel: mixpower_0.1.0.zip
macOS binaries: r-release (arm64): mixpower_0.1.0.tgz, r-oldrel (arm64): mixpower_0.1.0.tgz, r-release (x86_64): mixpower_0.1.0.tgz, r-oldrel (x86_64): mixpower_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mixpower to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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