makeGlmer

makeLmer

a formula describing the model (see <code><a rd-options="lme4" href="/link/glmer?package=simr&version=1.0.4&to=lme4" data-mini-rdoc="lme4::glmer">glmer</a></code>).

formula

type of response variable (see <code><a rd-options="" href="/link/family?package=simr&version=1.0.4" data-mini-rdoc="simr::family">family</a></code>).

family

fixef

variance and covariances for random effects.
If there are multiple random effects, supply their parameters as a list.

VarCorr

<code>data.frame</code> of explanatory variables.

data

sigma

Make a <code><a rd-options="lme4" href="/link/merMod?package=simr&version=1.0.4&to=lme4" data-mini-rdoc="lme4::merMod">merMod</a></code> object with the specified structure and parameters.

Calculate power for generalised linear mixed models, using
simulation. Designed to work with models fit using the 'lme4' package.
Described in Green and MacLeod, 2016 <doi:10.1111/2041-210X.12504>.

Green Peter

simr

Power Analysis for Generalised Linear Mixed Models by Simulation

MacLeod Catriona

Alday Phillip

makeGlmer function

a formula describing the model (see <code><a rd-options='lme4' href='glmer'>glmer</a></code>).

type of response variable (see <code><a rd-options='' href='family'>family</a></code>).

Make a <code><a rd-options='lme4' href='merMod'>merMod</a></code> object with the specified structure and parameters.

makeGlmer: Create an artificial mixed model object

Description

Usage

Arguments