pwr4exp: Power Analysis for Research Experiments (original) (raw)

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 ORCID iD [aut, cre, cph], Mutian Niu ORCID iD [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

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