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Efectos mixtos

Modelos de efectos mixtos lineales

Clases

LinearMixedModel Linear mixed-effects model class

Funciones

fitlmeFit linear mixed-effects model
fitlmematrixFit linear mixed-effects model
dispDisplay linear mixed-effects model
predict Predict response of linear mixed-effects model
random Generate random responses from fitted linear mixed-effects model
fixedEffectsEstimates of fixed effects and related statistics
randomEffects Estimates of random effects and related statistics
designMatrixFixed- and random-effects design matrices
fittedFitted responses from a linear mixed-effects model
responseResponse vector of the linear mixed-effects model
anovaAnalysis of variance for linear mixed-effects model
coefCI Confidence intervals for coefficients of linear mixed-effects model
coefTestHypothesis test on fixed and random effects of linear mixed-effects model
compareCompare linear mixed-effects models
covarianceParametersExtract covariance parameters of linear mixed-effects model
partialDependenceCompute partial dependence
plotPartialDependenceCreate partial dependence plot (PDP) and individual conditional expectation (ICE) plots
plotResidualsPlot residuals of linear mixed-effects model
residualsResiduals of fitted linear mixed-effects model

Ejemplos y procedimientos

Conceptos

  • Linear Mixed-Effects Models

    Linear mixed-effects models are extensions of linear regression models for data that are collected and summarized in groups.

  • Estimating Parameters in Linear Mixed-Effects Models

    The two most commonly used approaches to parameter estimation in linear mixed-effects models are maximum likelihood and restricted maximum likelihood methods.

  • Wilkinson Notation

    Wilkinson notation provides a way to describe regression and repeated measures models without specifying coefficient values.