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Efectos mixtos

Modelos de efectos mixtos lineales

Clases

 LinearMixedModel Linear mixed-effects model class

Funciones

 fitlme Fit linear mixed-effects model fitlmematrix Fit linear mixed-effects model disp Display linear mixed-effects model predict Predict response of linear mixed-effects model random Generate random responses from fitted linear mixed-effects model fixedEffects Estimates of fixed effects and related statistics randomEffects Estimates of random effects and related statistics designMatrix Fixed- and random-effects design matrices fitted Fitted responses from a linear mixed-effects model response Response vector of the linear mixed-effects model
 anova Analysis of variance for linear mixed-effects model coefCI Confidence intervals for coefficients of linear mixed-effects model coefTest Hypothesis test on fixed and random effects of linear mixed-effects model compare Compare linear mixed-effects models covarianceParameters Extract covariance parameters of linear mixed-effects model partialDependence Compute partial dependence plotPartialDependence Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots plotResiduals Plot residuals of linear mixed-effects model residuals Residuals of fitted linear mixed-effects model

Ejemplos y procedimientos

Prepare Data for Linear Mixed-Effects Models

Store data in the correct form for fitting a linear mixed-effects model.

Relationship Between Formula and Design Matrices

Understand the relationship between a model formula and the design matrices in linear mixed-effects models.

Linear Mixed-Effects Model Workflow

This example shows how to fit and analyze a linear mixed-effects model (LME).

Fit Mixed-Effects Spline Regression

This example shows how to fit a mixed-effects linear spline model.

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.