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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 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: 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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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.