A LinearMixedModel object represents a fitted linear mixed-effects model $$ y = X\beta + Zb + \varepsilon, $$ with fixed effects beta, random effects b distributed as N(0, Psi), and independent errors N(0, sigma2). Objects are created with fitlmematrix (from design matrices).

The estimated fixed effects and their statistics are available through the Coefficients table; the covariance parameters through covarianceParameters; the random-effect BLUPs through randomEffects; and predictions, residuals, and hypothesis tests through the predict, residuals, anova, coefTest, and coefCI methods.

See also: fitlmematrix, fitlm

Source Code: LinearMixedModel