pwr4exp: Power Analysis for Research Experiments
Provides tools for calculating statistical power for experiments
analyzed using linear mixed models. It supports standard designs, including
randomized block, split-plot, and Latin Square designs, while offering flexibility
to accommodate a variety of other complex study designs.
| Version: |
1.0.1 |
| Depends: |
R (≥ 2.10), stats |
| Imports: |
emmeans, MASS, Matrix, methods, nlme, numDeriv |
| Suggests: |
agricolae, AlgDesign, crossdes, FrF2, knitr, rmarkdown |
| Published: |
2025-11-11 |
| DOI: |
10.32614/CRAN.package.pwr4exp |
| Author: |
Kai Wang  [aut,
cre, cph],
Mutian Niu [aut,
cph] |
| Maintainer: |
Kai Wang <kai.wang at usys.ethz.ch> |
| BugReports: |
https://github.com/an-ethz/pwr4exp/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/an-ethz/pwr4exp,
https://an-ethz.github.io/pwr4exp/ |
| NeedsCompilation: |
no |
| Citation: |
pwr4exp citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
pwr4exp results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pwr4exp
to link to this page.