Mixture Models with Heterogeneous and (Partially) Missing Data
Extract a MixtComp object
Learn and predict using RMixtComp
Plot of a MixtCompLearn object
Plot BIC and ICL
Predict using RMixtComp
Print Values
RMixtComp
Slope heuristic
MixtCompLearn Object Summaries
Mixture Composer (Biernacki (2015) <https://inria.hal.science/hal-01253393v1>) 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.