simr: powerSim – R documentation

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powerSim

Estimate power by simulation.

Perform a power analysis for a mixed model.

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

`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`).

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

Power Analysis for Generalised Linear Mixed Models by Simulation

v1.0.5

GPL (>= 2)

Authors

Green Peter [aut, cre] (<https://orcid.org/0000-0002-0238-9852>), MacLeod Catriona [aut], Alday Phillip [ctb]

Initial release