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pwr2ppl: Power Analyses for Common Designs (Power to the People)

Statistical power analysis for designs including t-tests, correlations, multiple regression, ANOVA, mediation, and logistic regression. Functions accompany Aberson (2019) <doi:10.4324/9781315171500>.

Version: 0.5.0
Imports: car (≥ 3.0-0), MASS (≥ 7.3-51), dplyr (≥ 0.8.0), tidyr (≥ 0.8.0), ez (≥ 0.4.3), nlme (≥ 3.1-139), phia (≥ 0.2-0), afex (≥ 0.22-1), MBESS (≥ 4.5.0), lavaan (≥ 0.6-2), stats (≥ 3.5.0), semTools (≥ 0.5), quantreg (≥ 5.50), broom (≥ 0.7.00), lmtest (≥ 0.9-30), lmPerm, pls
Published: 2022-09-06
DOI: 10.32614/CRAN.package.pwr2ppl
Author: Chris Aberson
Maintainer: Chris Aberson <chris.aberson at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: pwr2ppl results

Documentation:

Reference manual: pwr2ppl.pdf

Downloads:

Package source: pwr2ppl_0.5.0.tar.gz
Windows binaries: r-devel: pwr2ppl_0.5.0.zip, r-release: pwr2ppl_0.5.0.zip, r-oldrel: pwr2ppl_0.5.0.zip
macOS binaries: r-release (arm64): pwr2ppl_0.5.0.tgz, r-oldrel (arm64): pwr2ppl_0.5.0.tgz, r-release (x86_64): pwr2ppl_0.5.0.tgz, r-oldrel (x86_64): pwr2ppl_0.5.0.tgz
Old sources: pwr2ppl archive

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.