jschueller / mixmod

Supervised, unsupervised and semi-supervised classification with mixture modelling

mixmod

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 computational library: mixmodLib (C++)
• A Graphical User Interface: mixmodGUI

Main Statistical functionalities:

• 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

Previous repository: https://gforge.inria.fr/projects/mixmod

Organization

• Rmixmod R interface of the C++ mixmod library
• mixmodLib C++ mixmod library
• mixmodIOStream C++ library to manage IO
• Pymixmod Python interface
• mixmodCLI Command Line Interface
• mixmodGUI unmaintained
• mixmodMVC unmaintained

Rmixmod

Requirements

Install the following R packages in order to build Rmixmod:

install.packages(c("Rcpp", "RcppEigen", "devtools"))

Build

In a terminal, run:

./build_rmixmod.sh

It creates a directory named Rmixmod_[version] containing the package archive.

The package can be installed running:

R CMD INSTALL Rmixmod_[version]/Rmixmod_[version].tar.gz

and checked running:

R CMD check --as-cran Rmixmod_[version]/Rmixmod_[version].tar.gz

Citation

Lebret, R., Iovleff, S., Langrognet, F., Biernacki, C., Celeux, G., & Govaert, G. (2015). Rmixmod: The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library. Journal of Statistical Software, 67(6), 1–29. https://doi.org/10.18637/jss.v067.i06

License

mixmod is distributed under the GPL v3 license