MXM: 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). <doi:10.18637/jss.v080.i07>.

Version: 1.3.0
Imports: methods, stats, utils, hash, survival, MASS, graphics, ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel, speedglm, relations, Rfast, visNetwork, energy
Suggests: R.rsp
Published: 2017-11-16
Author: Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Maintainer: Michail Tsagris <mtsagris at csd.uoc.gr>
License: GPL-2
URL: http://mensxmachina.org
NeedsCompilation: no
Citation: MXM citation info
In views: MachineLearning
CRAN checks: MXM results

Downloads:

Reference manual: MXM.pdf
Vignettes: Discovering Statistically-Equivalent Feature Subsets with MXM
A very brief guide to using MXM
Package source: MXM_1.3.0.tar.gz
Windows binaries: r-devel: MXM_1.2.5.zip, r-release: MXM_1.2.5.zip, r-oldrel: MXM_1.3.0.zip
OS X El Capitan binaries: r-release: MXM_1.3.0.tgz
OS X Mavericks binaries: r-oldrel: MXM_1.3.0.tgz
Old sources: MXM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MXM to link to this page.