- 2017/02/06 : PyMixmod 0.1 is available
- 2017 : Mixmod is now available on a website
- 2016/08 : RMixmod 2.1.1 is available
- 2016/07 : mixmodLib 3.2.2 is available
- 2015/10 : Rmximod paper in JSS
- 2015/10 : mixmodGUI 1.2.1 is available
Mixmod is a software package for Model-Based supervised and unsupervised classification on qualitative, quantitative and mixed data.
Available components: - A package for R : Rmixmod
- A module for Python : Pymixmod
- A Graphical User Interface : mixmodGUI
- A web site : https://massiccc.lille.inria.fr/#/
- A computational library (mixmodLib) (C++)
Main Statistical functionnalities :
- Likelihood maximization with EM, CEM and SEM algorithm
- Parsimonious models :
- 14 models for quantitative data (Gaussian mixture models)
- 5 models for qualitative data (Multinomial mixture models)
- 20 models for mixed data (quantitative/qualitative)
- 8 specific models for High Dimension
- Selection criteria : BIC, ICL, NEC, CV
Video :
Information/webmaster : This site is maintained primarily by Florent Langrognet
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