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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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pwr4exp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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