R: Power Analysis for Generalised Linear Mixed Models by Simulation

# Power Analysis for Generalised Linear Mixed Models by Simulation

## Documentation for package ‘simr’ version 1.0.9

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

simr-package | simr: Simulation-based power calculations for mixed models.
coef<- | Modifying model parameters.
compare | Specify a statistical test to apply
confint.powerCurve | Report simulation results
confint.powerSim | Report simulation results
doFit | Fit model to a new response.
doSim | Generate simulated response variables.
doTest | Apply a hypothesis test to a fitted model.
extend | Extend a longitudinal model.
fcompare | Specify a statistical test to apply
fixed | Specify a statistical test to apply
fixef<- | Modifying model parameters.
getData | Get an object's data.
getData<- | Get an object's data.
getSimrOption | Options Settings for 'simr'
lastResult | Recover an unsaved simulation
makeGlmer | Create an artificial mixed model object
makeLmer | Create an artificial mixed model object
modify | Modifying model parameters.
powerCurve | Estimate power at a range of sample sizes.
powerSim | Estimate power by simulation.
print.powerCurve | Report simulation results
print.powerSim | Report simulation results
random | Specify a statistical test to apply
rcompare | Specify a statistical test to apply
scale<- | Modifying model parameters.
sigma<- | Modifying model parameters.
simdata | Example dataset.
simr | simr: Simulation-based power calculations for mixed models.
simrOptions | Options Settings for 'simr'
summary.powerCurve | Report simulation results
summary.powerSim | Report simulation results
tests | Specify a statistical test to apply
VarCorr<- | Modifying model parameters.