Linear mixed models (LMMs) are a powerful and established tool for studying genotype–phenotype relationships. A limitation of the LMM is that the model assumes Gaussian distributed residuals, a ...

Linear mixed models (LMMs) serve as a versatile statistical framework, combining fixed effects that capture the overall trends with random effects that account for variability across subjects, ...

Many times researchers have the following scenario: measurements are taken on experimental units (i.e. subjects) at given time intervals. Most of the time subjects are set on different conditions ...