Feature Selection (Including Multiple Solutions) and Bayesian Networks

Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin. Reference: Feature Selection with the R Package MXM: Discovering Statistically Equivalent Feature Subsets, Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Journal of Statistical Software, 80(7). .


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Reference manual

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install.packages("MXM")

1.3.1 by Michail Tsagris, 2 months ago


http://mensxmachina.org


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


Authors: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]


Documentation:   PDF Manual  


Task views: Machine Learning & Statistical Learning


GPL-2 license


Imports methods, stats, utils, hash, survival, MASS, graphics, ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel, speedglm, relations, Rfast, visNetwork, energy

Suggests R.rsp


See at CRAN