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: | 
1.0.0 | 
| Depends: | 
R (≥ 2.10), stats | 
| Imports: | 
emmeans, MASS, Matrix, methods, nlme, numDeriv | 
| Suggests: | 
agricolae, AlgDesign, crossdes, FrF2, knitr, rmarkdown | 
| Published: | 
2025-03-17 | 
| 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:
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