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clusterPower  

Power Calculations for Cluster-Randomized and Cluster-Randomized Crossover Trials
View on CRAN: Click here


Download and install clusterPower package within the R console
Install from CRAN:
install.packages("clusterPower")

Install from Github:
library("remotes")
install_github("cran/clusterPower")

Install by package version:
library("remotes")
install_version("clusterPower", "0.7.0")



Attach the package and use:
library("clusterPower")
Maintained by
Ken Kleinman
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-06-02
Latest Update: 2021-01-28
Description:
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.
How to cite:
Ken Kleinman (2011). clusterPower: Power Calculations for Cluster-Randomized and Cluster-Randomized Crossover Trials. R package version 0.7.0, https://cran.r-project.org/web/packages/clusterPower. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.1 (2011-06-02 07:34), 0.3 (2012-01-14 10:00), 0.4-2 (2013-09-21 10:00), 0.4.1 (2012-12-01 08:18), 0.4 (2012-11-29 16:33), 0.5 (2013-12-13 19:52), 0.6.111 (2017-09-05 10:32), 0.7.0 (2021-01-28 18:40)
Other packages that cited clusterPower R package
View clusterPower citation profile
Other R packages that clusterPower depends, imports, suggests or enhances
Functions, R codes and Examples using the clusterPower R package
Some associated functions: binCalcICC . clusterPower . cpa.binary . cpa.count . cpa.did.binary . cpa.did.count . cpa.did.normal . cpa.irgtt.binary . cpa.irgtt.count . cpa.irgtt.normal . cpa.ma.binary . cpa.ma.count . cpa.ma.normal . cpa.normal . cpa.sw.binary . cpa.sw.count . cpa.sw.normal . cps.binary . cps.count . cps.did.binary . cps.did.count . cps.did.normal . cps.irgtt.binary . cps.irgtt.count . cps.irgtt.normal . cps.ma.binary . cps.ma.count . cps.ma.normal . cps.normal . cps.sw.binary . cps.sw.count . cps.sw.normal . package_map_helper . runExample . 
Some associated R codes: aaa.R . argMatch.R . binCalcICC.R . cannedEstimationFunctions.R . clusterPower.R . confintCalc.R . cpa.binary.R . cpa.count.R . cpa.did.binary.R . cpa.did.count.R . cpa.did.normal.R . cpa.irgtt.binary.R . cpa.irgtt.count.R . cpa.irgtt.normal.R . cpa.ma.binary.R . cpa.ma.count.R . cpa.ma.normal.R . cpa.normal.R . cpa.sw.binary.R . cpa.sw.count.R . cpa.sw.normal.R . cps.binary.R . cps.count.R . cps.did.binary.R . cps.did.count.R . cps.did.normal.R . cps.irgtt.binary.R . cps.irgtt.count.R . cps.irgtt.normal.R . cps.ma.binary.R . cps.ma.binary.internal.R . cps.ma.count.R . cps.ma.count.internal.R . cps.ma.normal.R . cps.ma.normal.internal.R . cps.normal.R . cps.sw.binary.R . cps.sw.count.R . cps.sw.normal.R . createMissingVarianceParam.R . is.wholenumber.R . optimizerSearch.R . package.R . package_map_helper.R . print.method.crtpwr.R . prop_H0_rejection.R . runExample.R . simulationEngines.R . summary.method.crtpwr.2arm.R . summary.method.crtpwr.ma.R . type1ErrTest.R . validateVariance.R .  Full clusterPower package functions and examples
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