PowerUpR: Power Analysis Tools for Multilevel Randomized Experiments

R version of PowerUp! <https://www.causalevaluation.org/>. Includes tools to calculate statistical power, minimum detectable effect size, and minimum required sample size for various multilevel randomized experiments with continuous outcomes.

Version: 1.0.0
Suggests: knitr, rmarkdown
Published: 2018-05-16
Author: Metin Bulus [aut, cre, trl], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut]
Maintainer: Metin Bulus <bulusmetin at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: PowerUpR citation info
Materials: README NEWS
CRAN checks: PowerUpR results


Reference manual: PowerUpR.pdf
Vignettes: three-level cluster randomized trial
Package source: PowerUpR_1.0.0.tar.gz
Windows binaries: r-devel: PowerUpR_1.0.0.zip, r-release: PowerUpR_1.0.0.zip, r-oldrel: PowerUpR_1.0.0.zip
OS X binaries: r-release: PowerUpR_1.0.0.tgz, r-oldrel: PowerUpR_0.2.3.tgz
Old sources: PowerUpR archive


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