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: |
0.4.1 |
| Depends: |
R (≥ 2.15.0), lme4 |
| Published: |
2012-12-01 |
| Author: |
Nicholas G. Reich, Daniel Obeng |
| Maintainer: |
Nicholas G. Reich <nick at schoolph.umass.edu> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
no |
| CRAN checks: |
clusterPower results |
Downloads: