Linear mixed-effects models are widely used in applications to analyze clustered, hierarchical, and longitudinal data. Model selection linear mixed is more challenging than that of as the parameter vector a model includes both fixed effects variance component parameters. When selecting components random effects, must be non-negative parameters may lie on boundary space. Therefore, classical met...
