StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables

arXiv:2304.03853v5 Announce Type: replace-cross
Abstract: StepMix is an open-source Python package for the pseudo-likelihood estimation (one-, two- and three-step approaches) of generalized finite mixture models (latent profile and latent class analysis) with external variables (covariates and distal outcomes). In many applications in social sciences, the main objective is not only to cluster individuals into latent classes, but also to use these classes to develop more complex statistical models. These models generally divide into a measurement model that relates the latent …

abstract analysis applications arxiv class cs.lg generalized likelihood package profile python python package social social sciences stat.me stat.ml type variables