PowerUpR: Power Analysis Tools for Multilevel Randomized Experiments

Statistical power analysis tools for designing multilevel randomized experiments. Includes functions to calculate statistical power (1 - type II error), minimum detectable effect size (MDES), minimum required sample size (MRSS), functions to solve constrained optimal sample allocation (COSA) problems, and to visualize duo or trio relationships between statistical power, MDES, MRSS, and a component of COSA.

Version: 0.1.3
Depends: nloptr (≥ 1.0.4)
Suggests: knitr, rmarkdown
Published: 2017-02-17
Author: Metin Bulus [aut,cre] Nianbo Dong [aut,cre]
Maintainer: Metin Bulus <bulus.metin at gmail.com>
BugReports: https://github.com/metinbulus/PowerUpR/issues
License: GPL (≥ 3)
URL: https://github.com/metinbulus/PowerUpR
NeedsCompilation: no
Citation: PowerUpR citation info
Materials: README NEWS
CRAN checks: PowerUpR results

Downloads:

Reference manual: PowerUpR.pdf
Vignettes: PowerUpR Vignettes
Package source: PowerUpR_0.1.3.tar.gz
Windows binaries: r-devel: PowerUpR_0.1.3.zip, r-release: PowerUpR_0.1.3.zip, r-oldrel: PowerUpR_0.1.3.zip
OS X El Capitan binaries: r-release: PowerUpR_0.1.3.tgz
OS X Mavericks binaries: r-oldrel: PowerUpR_0.1.3.tgz
Old sources: PowerUpR archive

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