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Install

install.packages('clusterPower')

Monthly Downloads

107

Version

0.7.0

License

GPL (>= 2)

Maintainer

Ken Kleinman

Last Published

January 28th, 2021

Functions in clusterPower (0.7.0)

cpa.binary

Analytic power calculations for parallel arm cluster-randomized trials with binary outcomes
cpa.irgtt.normal

Power calculations for individually randomized group treatment trials, continuous outcome
binCalcICC

BinCalcICC: calculate ICC values for data from CRTs with binary outcomes.
cpa.did.binary

Power calculations for difference-in-difference cluster randomized trials, dichotomous outcome
cpa.did.count

This help page is a stub. Equations do not yet exist for this type of analysis and outcome. Try cps.did.count() instead.
cpa.irgtt.count

This help page is a stub. Equations do not yet exist for this type of analysis and outcome. Try cps.irgtt.count() instead.
cpa.count

Analytic power calculations for parallel arm cluster-randomized trials with count outcomes
clusterPower

clusterPower: power analysis and sample size calculations for cluster randomized trials and related designs.
cpa.did.normal

Power calculations for difference-in-difference cluster randomized trials, continuous outcome
cpa.sw.binary

Power simulations for cluster-randomized trials: Stepped Wedge Design, Binary Outcome
cps.count

Simulation-based power estimation for cluster-randomized trials: Parallel Designs, Count Outcome
cps.sw.binary

Power simulations for cluster-randomized trials: Stepped Wedge Design, Binary Outcome
cps.did.binary

Power simulations for cluster-randomized trials: Difference in Difference, Binary Outcome.
cps.normal

Power simulations for cluster-randomized trials: Parallel Designs, Normal Outcome
cps.did.normal

Power simulations for cluster-randomized trials: Difference in Difference Design, Continuous Outcome.
cps.sw.count

Power simulations for cluster-randomized trials: Stepped Wedge Design, Count Outcome
cps.did.count

Power simulations for cluster-randomized trials: Difference in Difference, Count Outcome.
cps.sw.normal

Power simulations for cluster-randomized trials: Stepped Wedge Design, Continuous Outcome.
cpa.ma.normal

Power calculations for multi-arm cluster randomized trials, continuous outcome
cpa.irgtt.binary

Power calculations for individually randomized group treatment trials, binary outcome
cpa.ma.binary

This help page is a stub. Equations do not yet exist for this type of analysis and outcome. Try cps.did.binary() instead.
cpa.sw.normal

Power calculations for stepped wedge cluster randomized trials, continuous outcome
cps.binary

Power simulations for cluster-randomized trials: Parallel Designs, Binary Outcome
cpa.ma.count

This help page is a stub. Equations do not yet exist for this type of analysis and outcome. Try cps.did.count() instead.
cps.ma.count

Simulation-based power estimation for cluster-randomized trials: Parallel Designs, Count Outcome with multiple arms
cpa.normal

Analytic power calculations for parallel arm cluster-randomized trials with normal outcomes
cps.irgtt.binary

Simulation-based power estimation for binary outcome individually randomized group treatment trials.
package_map_helper

Look up which internal functions are called by exported functions.
cpa.sw.count

Power calculations for stepped-wedge trials with a count outcome.
cps.ma.normal

Simulation-based power estimation for continuous outcome multi-arm cluster-randomized trials.
runExample

Run a Shiny app for power analysis functions
cps.ma.binary

Simulation-based power estimation for binary outcome multi-arm cluster-randomized trials.
cps.irgtt.count

Power simulations for cluster-randomized trials: Individually randomized group treatment trial designs, count outcome.
cps.irgtt.normal

Simulation-based power estimation for continuous outcome individually randomized group treatment trials.