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>.

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Description file content

Package
MXM
Type
Package
Title
Feature Selection (Including Multiple Solutions) and Bayesian Networks
Version
1.3.1
URL
Date
2017-11-30
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
Description
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). .
License
GPL-2
Suggests
R.rsp,
VignetteBuilder
R.rsp,
Imports
methods, stats, utils, hash, survival, MASS, graphics, ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel, speedglm, relations, Rfast, visNetwork, energy
NeedsCompilation
no
Packaged
2017-11-30 10:49:24 UTC; user
Repository
CRAN
Date/Publication
2017-11-30 11:41:38 UTC

install.packages('MXM')

1.3.1

a month ago

http://mensxmachina.org

Michail Tsagris

GPL-2

Imports

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

Suggests

R.rsp,

Discussions