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 <email@example.com>, Daniel Obeng <firstname.lastname@example.org>|
|Date of publication||2013-12-13 19:52:21|
|Maintainer||Nicholas G. Reich <email@example.com>|
|License||GPL (>= 2)|
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...