Power Calculations for Cluster-Randomized and Cluster-Randomized Crossover Trials

Calculate power for cluster randomized trials (CRTs) including multi-arm trials, individually randomized group treatment trials (IGRTTs), stepped wedge trials (SWTs) and others using closed-form (analytic) solutions, and estimates power using Monte Carlo methods.

clusterPower

clusterPower: power and sample size calculations for cluster-randomized trials, using both closed form and Monte Carlo methods

To get a version with a working shiny app, please download this file: https://github.com/Kenkleinman/clusterPower/releases/download/v1.0-beta/clusterPower_0.6.200.tar.gz and install it as a package in R.

Reference manual

install.packages("clusterPower")

0.7.0 by Ken Kleinman, 6 years ago

Browse source code at https://github.com/cran/clusterPower

Authors: Ken Kleinman [aut, cre] , Alexandria Sakrejda [aut] , Jon Moyer [aut] , Joshua Nugent [aut] , Nicholas Reich [aut] , Daniel Obeng [ctb]

Documentation: PDF Manual

GPL (>= 2) license

Imports lme4, progress, dplyr, tidyr, R.utils, car, lmerTest, nlme, foreach, shiny, methods, mathjaxr

Suggests MASS, geepack, nloptr, optimx, doParallel, shinyBS, tidyverse, DT, stringr, CRTSize, data.table, testthat, knitr, rmarkdown, shinycssloaders

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