 |  |  Linear Mixed-Effects Models Using R: A Step-by-Step Approach
Linear mixed-effects models (LMMs) are an important class of statistical models
that can be used to analyze correlated data. Such data include clustered
observations, repeated measurements, longitudinal measurements, multivariate
observations, etc.
The aim of our book is to help readers in fitting LMMs using R... |  |  |