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

Build Status

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

News

clusterPower 0.6.1

  • Adding functions for closed-form solutions to normal, count (Poisson), and dichotomous outcomes that mirror power.t.test, etc.
  • Under the hood, documentation is migrated to Roxygen2, and all functions outside of base are explicitly called, via, e.g, stats::.
  • Also, Nick Reich graciously transferring maintainership to Ken Kleinman.

Reference manual

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install.packages("clusterPower")

0.7.0 by Ken Kleinman, a month 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  


Task views: Clinical Trial Design, Monitoring, and Analysis


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


See at CRAN