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Section: Software and Platforms

Rmixmod package for mixed data

Participants : Christophe Biernacki, Serge Iovleff, Parmeet Bhatia.

MIXMOD (MIXture MODelling) is an important software for the m$\Theta$dal team since it concerns its main topics: model-based supervised, unsupervised and semi-supervised classification for various data situations. MIXMOD is now a well-distributed software with over 250 downloads/month are recorded for several years. MIXMOD is written in C++ (more than 10 000 lines) and distributed under GNU General Public License. Several other institutions participate in the MIXMOD development since several years: CNRS, Inria Saclay-Île de France, Université de Franche-Comté, Université Lille 1. The software already benefits from several APP depositions and an R package (Rmixmod) has been associated to MIXMOD in 2012.

In 2013, Parmeet Bhatia, under scientific supervision of Christophe Biernacki and Serge Iovleff, has developped possibility in Rmixmod to cluster simultaneously continuous and categorical data with the restrictive conditional independence assumption. It is an important first step towards the long term purpose of m$\Theta$dal to cluster heterogeneous (or mixed) data sets. It is a joint work with Florent Langrognet, Rémi Lebret, Gilles Celeux and Gérard Govaert.