background: metabolic syndrome (mets), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. the aim of this study was to identify the subgroups of participants in a study on the basis of mets components.   methods: the cross-sectional study took place in the districts related to tehran university of me...

This study presents a semi-nonparametric Latent Class Choice Model (LCCM) with flexible class membership component. The proposed model formulates the latent classes using mixture models as an alternative approach to traditional random utility specification aim of comparing two approaches on various measures including prediction accuracy and representation heterogeneity in choice process. Mixtur...

poLCA is a software package for the estimation of latent class and latent class regression models for polytomous outcome variables, implemented in the R statistical computing environment. Both models can be called using a single simple command line. The basic latent class model is a finite mixture model in which the component distributions are assumed to be multi-way cross-classification tables...