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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:1.0.1
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 WangORCID iD [aut, cre, cph], Mutian NiuORCID 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

Documentation:

Reference manual:pwr4exp.html ,pwr4exp.pdf
Vignettes:pwr4exp: Power Analysis for Experimental Designs (source,R code)

Downloads:

Package source: pwr4exp_1.0.1.tar.gz
Windows binaries: r-devel:pwr4exp_1.0.1.zip, r-release:pwr4exp_1.0.1.zip, r-oldrel:pwr4exp_1.0.1.zip
macOS binaries: r-release (arm64):pwr4exp_1.0.1.tgz, r-oldrel (arm64):pwr4exp_1.0.1.tgz, r-release (x86_64):pwr4exp_1.0.1.tgz, r-oldrel (x86_64):pwr4exp_1.0.1.tgz
Old sources: pwr4exp archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=pwr4expto link to this page.


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