PowRPriori: Power Analysis via Data Simulation for (Generalized) LinearMixed Effects Models
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.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| 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) |
| Published: | 2025-12-14 |
| DOI: | 10.32614/CRAN.package.PowRPriori |
| Author: | Markus Grill [aut, cre] |
| Maintainer: | Markus Grill <markus.grill at uni-wh.de> |
| BugReports: | https://github.com/mirgll/PowRPriori/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/mirgll/PowRPriori |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | PowRPriori results |
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