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 (may not be active yet) |
| Author: |
Markus Grill [aut, cre] |
| Maintainer: |
Markus Grill <markus.grill at uni-wh.de> |
| BugReports: |
https://github.com/mirgll/PowRPriori/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mirgll/PowRPriori |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
PowRPriori results |