Clustering and Classification using Model-Based Mixture Models

Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values. This package can be used as an independent alternative to the (not free) 'mixtcomp' software available at < https://massiccc.lille.inria.fr/>.


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install.packages("MixAll")

1.4.2 by Serge Iovleff, a year ago


Browse source code at https://github.com/cran/MixAll


Authors: Serge Iovleff [aut, cre] , Parmeet Bathia [ctb]


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


GPL (>= 2) license


Imports methods

Depends on rtkore

Linking to Rcpp, rtkore

System requirements: GNU make


See at CRAN