MixAll (1.4.2)

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 .

Maintainer: Serge Iovleff
Author(s): Serge Iovleff [aut, cre], Parmeet Bathia [ctb]

License: GPL (>= 2)

Uses: rtkore

Released over 1 year ago.