In this tutorial, you'll learn how to use Latent Profile Analysis (LPA) with R.

LPA is a powerful technique belonging to the class of finite mixture models that can help you uncover hidden subgroups in your data. Unlike Latent Class Analysis (LCA), which uses categorical variables to extract latent classes, latent profile analysis is based on continuous variables. By analyzing the patterns of the continuous variables, LPA allows you to identify groups of individuals who share similar characteristics.

If you're interested in data analysis or machine learning, LPA is a valuable tool to have in your toolkit. Follow along with this step-by-step guide to get started!

Link to the R code:
http://www.regorz-statistik.de/en/r_l...