Package: PowRPriori
Title: Power Analysis via Data Simulation for (Generalized) Linear
        Mixed Effects Models
Version: 0.1.2
Authors@R: 
    person("Markus", "Grill", email = "markus.grill@uni-wh.de", role = c("aut", "cre"))
Description: Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: dplyr, doFuture, foreach, future, ggplot2, lme4, lmerTest,
        magrittr, MASS, purrr, rlang, scales, stats, tidyr, tidyselect,
        utils, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mirgll/PowRPriori
BugReports: https://github.com/mirgll/PowRPriori/issues
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-01-28 11:23:27 UTC; mgrill
Author: Markus Grill [aut, cre]
Maintainer: Markus Grill <markus.grill@uni-wh.de>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-01-28 12:30:09 UTC
Built: R 4.6.0; ; 2026-04-26 20:38:09 UTC; unix
