혼합효과

일반화 선형 혼합효과 모델

클래스

GeneralizedLinearMixedModel Generalized linear mixed-effects model class

`fitglme`	Fit generalized linear mixed-effects model
`disp`	Display 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
`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 generalized linear mixed-effects model
`response`	Response vector of generalized linear mixed-effects model

`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
`partialDependence`	Compute partial dependence
`plotPartialDependence`	Create partial dependence plot (PDP) and individual conditional expectation (ICE) plots
`plotResiduals`	Plot residuals of generalized linear mixed-effects model
`residuals`	Residuals of fitted generalized linear mixed-effects model
`refit`	Refit generalized linear mixed-effects model

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.