powerSim: Estimate power by simulation.

Description Usage Arguments See Also Examples

Description

Perform a power analysis for a mixed model.

Usage

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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

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

simr documentation built on May 2, 2019, 6:41 a.m.