clusterPower: 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.

Version: 0.7.0
Imports: lme4 (≥ 1.0), progress (≥ 1.1.2), dplyr (≥ 0.7.5), tidyr (≥ 0.8.1), R.utils (≥ 2.10.1), car (≥ 3.0-4), lmerTest (≥ 3.1-2), nlme (≥ 3.1-149), foreach (≥ 1.5.0), shiny (≥ 1.0.5), methods (≥ 4.0.0), mathjaxr
Suggests: MASS (≤ 7.3-53), geepack (≥ 1.2), nloptr (≥ 1.2.2.2), optimx (≥ 2020-4.2), doParallel (≥ 1.0.15), shinyBS (≥ 0.61), tidyverse (≥ 1.1.1), DT (≥ 0.2), stringr (≥ 1.2.0), CRTSize, data.table, testthat (≥ 3.0.0), knitr, rmarkdown, shinycssloaders
Published: 2021-01-28
Author: Ken Kleinman [aut, cre], Alexandria Sakrejda [aut], Jon Moyer [aut], Joshua Nugent [aut], Nicholas Reich [aut], Daniel Obeng [ctb]
Maintainer: Ken Kleinman <ken.kleinman at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README NEWS ChangeLog
In views: ClinicalTrials
CRAN checks: clusterPower results

Downloads:

Reference manual: clusterPower.pdf
Vignettes: Power Estimation for Randomized Controlled Trials: clusterPower
Package source: clusterPower_0.7.0.tar.gz
Windows binaries: r-devel: clusterPower_0.7.0.zip, r-devel-UCRT: clusterPower_0.7.0.zip, r-release: clusterPower_0.7.0.zip, r-oldrel: clusterPower_0.7.0.zip
macOS binaries: r-release (arm64): clusterPower_0.7.0.tgz, r-release (x86_64): clusterPower_0.7.0.tgz, r-oldrel: clusterPower_0.7.0.tgz
Old sources: clusterPower archive

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