PowerUpR: Power Analysis Tools for Multilevel Randomized Experiments

Includes tools to calculate statistical power, minimum detectable effect size, and minimum required sample size for various multilevel randomized experiments with continuous outcomes. Some of the functions can assist with planning two- and three-level cluster-randomized trials (CRTs) sensitive to moderation effects, and with planning two-level CRTs sensitive to 2-2-1 and 2-1-1 mediation effects. See 'PowerUp!' Excel series at <https://www.causalevaluation.org/>.

Version: 1.0.2
Suggests: knitr, rmarkdown
Published: 2018-12-15
Author: Metin Bulus [aut, cre], 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_1.0.2.tar.gz
Windows binaries: r-devel: PowerUpR_1.0.2.zip, r-release: PowerUpR_1.0.2.zip, r-oldrel: PowerUpR_1.0.2.zip
OS X binaries: r-release: PowerUpR_1.0.2.tgz, r-oldrel: PowerUpR_1.0.2.tgz
Old sources: PowerUpR archive


Please use the canonical form https://CRAN.R-project.org/package=PowerUpR to link to this page.