RMixtComp (version 4.1.5)
Mixture Models with Heterogeneous and (Partially) Missing Data
Description
Mixture Composer (Biernacki (2015) ) is a project to perform clustering using mixture models with
heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm.
It includes 8 models for real, categorical, counting, functional and ranking data.