powerSim: Estimate power by simulation.

In simr: Power Analysis for Generalised Linear Mixed Models by Simulation

Estimate power by simulation.

Description

Perform a power analysis for a mixed model.

Usage

powerSim(
  fit,
  test = fixed(getDefaultXname(fit)),
  sim = fit,
  fitOpts = list(),
  testOpts = list(),
  simOpts = list(),
  seed,
  ...
)

Arguments

fit	a fitted model object (see doFit).
test	specify the test to perform. By default, the first fixed effect in fit will be tested. (see: tests).
sim	an object to simulate from. By default this is the same as fit (see doSim).
fitOpts	extra arguments for doFit.
testOpts	extra arguments for doTest.
simOpts	extra arguments for doSim.
seed	specify a random number generator seed, for reproducible results.
...	any additional arguments are passed on to simrOptions. Common options include: nsim: the number of simulations to run (default is 1000). alpha: the significance level for the statistical test (default is 0.05). progress: use progress bars during calculations (default is TRUE).

See Also

print.powerSim, summary.powerSim, confint.powerSim

Examples

fm1 <- lmer(y ~ x + (1|g), data=simdata)
powerSim(fm1, nsim=10)

simr documentation built on April 14, 2023, 12:24 a.m.