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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | mixpower_0.1.0.tar.gz |
206.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | mixpower_0.1.0.tar.gz |
206.6 KiB |
0.1.0 |
rolling source/ R- | mixpower_0.1.0.tar.gz |
80.8 KiB |
0.1.0 |
latest linux/jammy R-4.5 | mixpower_0.1.0.tar.gz |
206.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | mixpower_0.1.0.tar.gz |
206.6 KiB |
0.1.0 |
latest source/ R- | mixpower_0.1.0.tar.gz |
80.8 KiB |
0.1.0 |
2026-04-26 source/ R- | mixpower_0.1.0.tar.gz |
80.8 KiB |
0.1.0 |
2026-04-23 source/ R- | mixpower_0.1.0.tar.gz |
80.8 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | mixpower_0.1.0.zip |
224.2 KiB |