Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment

DOI10.1111/anzs.12396MaRDI QIDQ6139768

Zsuzsa Bakk, Antonio Punzo, Roberto Di Mari

Publication date: 19 December 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

cluster-weighted modelslatent class analysisdirect effectslatent class regression modelspsychological contractscontinuous distal outcomes

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Parametric inference (62Fxx) Multivariate analysis (62Hxx)

Cites Work

• Local statistical modeling via a cluster-weighted approach with elliptical distributions
• Clusterwise linear regression modeling with soft scale constraints
• A nested expectation-maximization algorithm for latent class models with covariates
• The generalized linear mixed cluster-weighted model
• Eigenvalues and constraints in mixture modeling: geometric and computational issues
• Latent Variable Regression for Multiple Discrete Outcomes

This page was built for publication: Embedding latent class regression and latent class distal outcome models into cluster‐weighted latent class analysis: a detailed simulation experiment