clusterPower: Power calculations for cluster-randomized and cluster-randomized crossover trials

This package enables researchers to calculate power for cluster-randomized crossover trials by employing a simulation-based approach. A particular study design is specified, with fixed sample sizes for all clusters and an assumed treatment effect, and the empirical power for that study design is calculated by simulating hypothetical datasets.

Version: 0.5
Imports: lme4 (≥ 1.0)
Published: 2013-12-13
Author: Nicholas G. Reich, Daniel Obeng
Maintainer: Nicholas G. Reich <nick at schoolph.umass.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: clusterPower results

Downloads:

Reference manual: clusterPower.pdf
Package source: clusterPower_0.5.tar.gz
OS X binary: clusterPower_0.5.tgz
Windows binary: clusterPower_0.5.zip
Old sources: clusterPower archive