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Generalized linear mixed model

In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects. They also inherit from generalized linear models the idea of extending linear mixed models to non-normal data.

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Generalized linear mixed model

Nodes31
Edges30
Triples21
Avg. degree1.94
Density0.064516
Components1

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Generalized linear mixed model

Top relations

related to Fitting a model · 10
Generalized linear mixed model → AIC, Akaike, Estimates, Fitting, For, In, Markov, Monte Carlo, The Akaike, Various
related to Software · 7
Generalized linear mixed model → DHARMa, Generalized, SAS, Several, SPSSMATLAB, The Julia, The PythonStatsmodelspackage
related to Model · 4
Generalized linear mixed model → Generalized, Here, To, Zu

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mixed generalized linear models model data random effects also analysis fitting statistics via methods akaike information criterion predictor addition fixed

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SubjectPredicateObjectConfidenceSrc
Generalized linear mixed modelrelated to Fitting a modelFitting0.60section
Generalized linear mixed modelrelated to Fitting a modelAkaike0.60section
Generalized linear mixed modelrelated to Fitting a modelAIC0.60section
Generalized linear mixed modelrelated to Fitting a modelIn0.60section
Generalized linear mixed modelrelated to Fitting a modelVarious0.60section
Generalized linear mixed modelrelated to Fitting a modelFor0.60section
Generalized linear mixed modelrelated to Fitting a modelMarkov0.60section
Generalized linear mixed modelrelated to Fitting a modelMonte Carlo0.60section
Generalized linear mixed modelrelated to Fitting a modelThe Akaike0.60section
Generalized linear mixed modelrelated to Fitting a modelEstimates0.60section
Generalized linear mixed modelrelated to ModelGeneralized0.60section
Generalized linear mixed modelrelated to ModelZu0.60section

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