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/>.

Package details

AuthorMetin Bulus [aut, cre], Nianbo Dong [aut], Benjamin Kelcey [aut], Jessaca Spybrook [aut]
MaintainerMetin Bulus <[email protected]>
LicenseGPL (>= 3)
Version1.0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PowerUpR")

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PowerUpR documentation built on Dec. 15, 2018, 5:04 p.m.