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Effets mixtes

R2026a
Modèles linéaires à effets mixtes généralisés

Un modèle linéaire à effets mixtes généralisé (GLME) inclut à la fois les effets fixes et aléatoires dans la modélisation d’une variable de réponse. Ce type de modèle peut tenir compte des tendances globales et locales d’un jeu de données en intégrant les effets aléatoires d’une variable de clustering. Les modèles GLME sont une généralisation des Linear Mixed-Effects Models (LME) pour les données où la variable de réponse ne suit pas une distribution normale. Créez un objet GeneralizedLinearMixedModel avec fitglme.

Classes

GeneralizedLinearMixedModelGeneralized linear mixed-effects model class

Fonctions

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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

Rubriques

  • 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.