Main Content

Mixed Effects

Generalized linear mixed-effects models

Classes

GeneralizedLinearMixedModelGeneralized linear mixed-effects model class

Functions

fitglmeFit generalized linear mixed-effects model
dispDisplay generalized linear mixed-effects model
predictPredict response of generalized linear mixed-effects model
randomGenerate random responses from fitted generalized linear mixed-effects model
fixedEffectsEstimates of fixed effects and related statistics
randomEffectsEstimates of random effects and related statistics
designMatrixFixed- and random-effects design matrices
fittedFitted responses from generalized linear mixed-effects model
responseResponse vector of generalized linear mixed-effects model
anovaAnalysis of variance for generalized linear mixed-effects model
coefCIConfidence intervals for coefficients of generalized linear mixed-effects model
coefTestHypothesis test on fixed and random effects of generalized linear mixed-effects model
compareCompare generalized linear mixed-effects models
covarianceParametersExtract covariance parameters of generalized linear mixed-effects model
partialDependenceCompute partial dependence
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
plotResidualsPlot residuals of generalized linear mixed-effects model
residualsResiduals of fitted generalized linear mixed-effects model
refit Refit generalized linear mixed-effects model

Examples and How To

Concepts

  • Generalized Linear Mixed-Effects Models

    Generalized linear mixed-effects (GLME) models describe the relationship between a response variable and independent variables using coefficients that can vary with respect to one or more grouping variables, for data with a response variable distribution other than normal.

  • Wilkinson Notation

    Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.