Package: mixpower
Title: Simulation-Based Power Analysis for Mixed-Effects Models
Version: 1.1.1
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
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
BugReports: https://github.com/alitovchenko/mixpower/issues
NeedsCompilation: no
Packaged: 2026-06-18 03:15:53 UTC; alexanderlitovchenko
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-06-25 19:40:02 UTC
Built: R 4.6.0; ; 2026-06-25 20:31:44 UTC; unix
