pwr4exp: Power Analysis for Research Experiments

Provides tools for calculating statistical power and determining sample size for a variety of experimental designs used in agricultural and biological research, including completely randomized, block, and split-plot designs. Supports customized designs and allows specification of main effects, interactions, and contrasts for accurate power analysis.

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	car (≥ 3.1.2), emmeans (≥ 1.10.3), lme4 (≥ 1.1.35.4), lmerTest (≥ 3.1.3), methods
Suggests:	agricolae, AlgDesign, crossdes, FrF2, knitr, rmarkdown
Published:	2024-10-11
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:	MIT + file LICENSE
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_0.1.0.tar.gz
Windows binaries:	r-devel: pwr4exp_0.1.0.zip, r-release: pwr4exp_0.1.0.zip, r-oldrel: pwr4exp_0.1.0.zip
macOS binaries:	r-release (arm64): pwr4exp_0.1.0.tgz, r-oldrel (arm64): pwr4exp_0.1.0.tgz, r-release (x86_64): pwr4exp_0.1.0.tgz, r-oldrel (x86_64): pwr4exp_0.1.0.tgz

Linking:

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