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:

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

Downloads:

Package source:	pwr4exp_1.0.0.tar.gz
Windows binaries:	r-devel: pwr4exp_1.0.0.zip, r-release: pwr4exp_1.0.0.zip, r-oldrel: pwr4exp_1.0.0.zip
macOS binaries:	r-devel (arm64): pwr4exp_1.0.0.tgz, r-release (arm64): pwr4exp_1.0.0.tgz, r-oldrel (arm64): pwr4exp_1.0.0.tgz, r-devel (x86_64): pwr4exp_1.0.0.tgz, r-release (x86_64): pwr4exp_1.0.0.tgz, r-oldrel (x86_64): pwr4exp_1.0.0.tgz
Old sources:	pwr4exp archive

Linking:

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