Package: mixpower
Title: Simulation-Based Power Analysis for Mixed-Effects Models
Version: 1.2.0
Authors@R: person("Alex", "Litovchenko", role = c("aut", "cre"), email = "al4877@columbia.edu")
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: stats, lme4
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, digest, jsonlite,
        glmmTMB, lmerTest, pbkrtest, dplyr, tidyr, ggplot2, tibble
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://github.com/alitovchenko/mixpower,
        https://CRAN.R-project.org/package=mixpower
BugReports: https://github.com/alitovchenko/mixpower/issues
Config/pak/sysreqs: cmake make
Repository: https://alitovchenko.r-universe.dev
Date/Publication: 2026-06-27 18:17:19 UTC
RemoteUrl: https://github.com/alitovchenko/mixpower
RemoteRef: HEAD
RemoteSha: afdfbd3feea58d94665a84ecd9c9238da1736767
NeedsCompilation: no
Packaged: 2026-11-06 09:58:11 UTC; root
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>