3 papers
stat.ME2025
Two-step estimation of latent trait models
Jouni Kuha, Zsuzsa Bakk
We consider likelihood-based two-step estimation of latent variable models, in which just the measurement model is estimated in the first step and the measurement parameters are th…
stat.ME2024
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
Sacha Morin, Robin Legault, Félix Laliberté +4
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…
stat.CO2024
multilevLCA: An R Package for Single-Level and Multilevel Latent Class Analysis with Covariates
Johan Lyrvall, Roberto Di Mari, Zsuzsa Bakk +2
This contribution presents a guide to the R package multilevLCA, which offers a complete and innovative set of technical tools for the latent class analysis of single-level and mul…