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:
Downloads:
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