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