# Efectos mixtos

Modelos de efectos mixtos lineales generalizados

Un modelo de efectos mixtos lineales generalizados (GLME) incluye efectos fijos y aleatorios en el modelado de una variable de respuesta. Este tipo de modelo puede explicar las tendencias globales y locales en un conjunto de datos incluyendo los efectos aleatorios de una variable de agrupación. Los modelos GLME son una generalización de Linear Mixed-Effects Models (LME) para datos donde la variable de respuesta no se distribuye de manera normal. Cree un objeto `GeneralizedLinearMixedModel` usando `fitglme`.

## Clases

 `GeneralizedLinearMixedModel` Generalized linear mixed-effects model class

## Funciones

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 `fitglme` Fit generalized linear mixed-effects model `refit` Refit generalized linear mixed-effects model
 `predict` Predict response of generalized linear mixed-effects model `random` Generate random responses from fitted generalized linear mixed-effects model `fitted` Fitted responses from generalized linear mixed-effects model `fixedEffects` Estimates of fixed effects and related statistics `randomEffects` Estimates of random effects and related statistics
 `anova` Analysis of variance for generalized linear mixed-effects model `coefCI` Confidence intervals for coefficients of generalized linear mixed-effects model `coefTest` Hypothesis test on fixed and random effects of generalized linear mixed-effects model `compare` Compare generalized linear mixed-effects models `covarianceParameters` Extract covariance parameters of generalized linear mixed-effects model `designMatrix` Fixed- and random-effects design matrices `partialDependence` Compute partial dependence (desde R2020b) `residuals` Residuals of fitted generalized linear mixed-effects model `response` Response vector of generalized linear mixed-effects model
 `plotPartialDependence` Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots `plotResiduals` Plot residuals of generalized linear mixed-effects model

## Temas

• Fit a Generalized Linear Mixed-Effects Model

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.