Effetti misti

Modelli lineari generalizzati a effetti misti

Un modello lineare generalizzato a effetti misti (GLME) include sia effetti fissi che casuali nella modellazione di una variabile di risposta. Questo tipo di modello è in grado di tenere conto delle tendenze globali e locali presenti in un insieme di dati, includendo gli effetti casuali di una variabile di clustering. I modelli GLME rappresentano una generalizzazione dei modelli (LME) Linear Mixed-Effects Models per dati in cui la variabile di risposta non è distribuita normalmente. Creare un oggetto GeneralizedLinearMixedModel utilizzando fitglme.

Classi

GeneralizedLinearMixedModelGeneralized linear mixed-effects model class

Funzioni

espandi tutto

fitglmeFit generalized linear mixed-effects model
refit Refit generalized linear mixed-effects model
predictPredict response of generalized linear mixed-effects model
randomGenerate random responses from fitted generalized linear mixed-effects model
fittedFitted responses from generalized linear mixed-effects model
fixedEffectsEstimates of fixed effects and related statistics
randomEffectsEstimates of random effects and related statistics
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
designMatrixFixed- and random-effects design matrices
partialDependenceCompute partial dependence
residualsResiduals of fitted generalized linear mixed-effects model
responseResponse vector of generalized linear mixed-effects model
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
plotResidualsPlot residuals of generalized linear mixed-effects model

Argomenti

  • Fit a Generalized Linear Mixed-Effects Model

    This example shows how to fit a generalized linear mixed-effects model (GLME) to sample data.

  • 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.