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

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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.

Author
Nicholas G. Reich <nick@schoolph.umass.edu>, Daniel Obeng <dobeng@gmail.com>
Date of publication
2013-12-13 19:52:21
Maintainer
Nicholas G. Reich <nick@schoolph.umass.edu>
License
GPL (>= 2)
Version
0.5

View on CRAN

Man pages

expit
The expit and logit functions.
fixed.effect
Canned estimation functions for the power simulations.
hayes.power.poisson
An implementation of power calculations for...
mixed.eff.params
Calculation of variance in Poisson mixed model setting.
power.sim.normal
Power simulations for cluster-randomized crossover study...

Files in this package

clusterPower
clusterPower/NAMESPACE
clusterPower/R
clusterPower/R/permutationInference.R
clusterPower/R/simulationEngines.R
clusterPower/R/cannedEstimationFunctions.R
clusterPower/README.md
clusterPower/MD5
clusterPower/DESCRIPTION
clusterPower/ChangeLog
clusterPower/man
clusterPower/man/mixed.eff.params.Rd
clusterPower/man/hayes.power.poisson.Rd
clusterPower/man/expit.Rd
clusterPower/man/fixed.effect.Rd
clusterPower/man/power.sim.normal.Rd