Package: PowRPriori
Title: Power Analysis via Data Simulation for (Generalized) Linear
        Mixed Effects Models
Version: 0.2.1
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
Roxygen: list(markdown = TRUE)
Imports: dplyr, doFuture, foreach, future, ggplot2, lme4, lmerTest,
        magrittr, MASS, purrr, reformulas, rlang, scales, stats, tidyr,
        tidyselect, utils
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
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://mirgll.r-universe.dev
Date/Publication: 2026-10-23 10:08:04 UTC
RemoteUrl: https://github.com/mirgll/powrpriori
RemoteRef: HEAD
RemoteSha: 8c468d443517098b20db3bdaa5540fc6a033263f
NeedsCompilation: no
Packaged: 2026-10-23 15:48:38 UTC; root
Author: Markus Grill [aut, cre]
Maintainer: Markus Grill <markus.grill@uni-wh.de>
Depends: R (>= 3.5.0)