The blog post discusses Mixture Latent Growth Models (MLGM) that enhance traditional longitudinal models by identifying latent subgroups with distinct trajectories over time. It details the implementation of MLGM in R using the tidySEM package and compares results from using R and Mplus for improved understanding of individual and aggregate changes. Read more