Gemischte Effekte

Generalisierte lineare Modelle mit gemischten Effekten

Ein GLME-Modell (Generalized Linear Mixed-Effects, generalisiertes lineares Modell mit gemischten Effekten) umfasst sowohl feste als auch zufällige Effekte bei der Modellierung einer Antwortvariable. Dieser Modelltyp kann sowohl globale als auch lokale Trends in einem Datensatz berücksichtigen, indem die zufälligen Effekte einer Clustering-Variable eingeschlossen werden. GLME-Modelle sind eine Generalisierung von Linear Mixed-Effects Models (LME) für Daten, bei denen die Antwortvariable nicht normal verteilt ist. Erstellen Sie mithilfe von fitglme ein GeneralizedLinearMixedModel-Objekt.

Klassen

GeneralizedLinearMixedModelGeneralized linear mixed-effects model class

Funktionen

alle erweitern

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

Themen

  • 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.