LinearMixedModel |
Linear mixed-effects model class |
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 |
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.
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 provides a way to describe regression and repeated measures models without specifying coefficient values.