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Class Definition: GeneralizedLinearMixedModel

statistics: GeneralizedLinearMixedModel

Generalized linear mixed-effects model fitted to data.

A GeneralizedLinearMixedModel object represents a fitted generalized linear mixed-effects model: a generalized linear model whose linear predictor X*beta + Z*b includes normally distributed random effects b ~ N(0, Psi). Objects are created with fitglme.

The model is fitted by penalized quasi-likelihood. The fixed-effects estimates and their statistics are available through the Coefficients table, the covariance parameters through covarianceParameters, and predictions, residuals, and hypothesis tests through the predict, residuals, anova, coefTest, and coefCI methods.

See also: fitglme, fitlme, GeneralizedLinearModel

Source Code: GeneralizedLinearMixedModel

The GeneralizedLinearMixedModel class contains the following properties:

GeneralizedLinearMixedModel.Distribution is not documented.
GeneralizedLinearMixedModel.Link is not documented.
GeneralizedLinearMixedModel.FitMethod is not documented.
GeneralizedLinearMixedModel.Dispersion is not documented.
GeneralizedLinearMixedModel.NumObservations is not documented.
GeneralizedLinearMixedModel.NumCoefficients is not documented.
GeneralizedLinearMixedModel.Coefficients is not documented.
GeneralizedLinearMixedModel.CoefficientCovariance is not documented.
GeneralizedLinearMixedModel.CoefficientNames is not documented.
GeneralizedLinearMixedModel.LogLikelihood is not documented.
GeneralizedLinearMixedModel.ModelCriterion is not documented.
GeneralizedLinearMixedModel.DFE is not documented.
GeneralizedLinearMixedModel.Formula is not documented.
GeneralizedLinearMixedModel.ResponseName is not documented.

The GeneralizedLinearMixedModel class offers the following public methods:

GeneralizedLinearMixedModel: glme = GeneralizedLinearMixedModel (info)

GeneralizedLinearMixedModel: [beta, names] = fixedEffects (glme)

GeneralizedLinearMixedModel: b = randomEffects (glme)

GeneralizedLinearMixedModel: [psi, disp] = covarianceParameters (glme)

GeneralizedLinearMixedModel: yf = fitted (glme)

GeneralizedLinearMixedModel: r = residuals (glme)
GeneralizedLinearMixedModel: r = residuals (glme, "ResidualType", type)

GeneralizedLinearMixedModel: ypred = predict (glme, Xnew, Znew, Gnew)

GeneralizedLinearMixedModel: tbl = anova (glme)

GeneralizedLinearMixedModel: [p, F, df1, df2] = coefTest (glme, H)

GeneralizedLinearMixedModel: ci = coefCI (glme, alpha)

GeneralizedLinearMixedModel: D = designMatrix (glme, type)