Package: MXM
Type: Package
Title: Feature Selection (Including Multiple Solutions) and Bayesian
        Networks
Version: 1.3.3
URL: http://mensxmachina.org
Date: 2018-03-30
Authors@R: c(person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@csd.uoc.gr"),
           person("Ioannis", "Tsamardinos", role = c("aut", "cph"), email = "tsamard.it@gmail.com"),
           person("Vincenzo", "Lagani", role = c("aut", "cph"), email = "vlagani@yahoo.it"), 
           person("Giorgos", "Athineou", role = c("aut"), email = "gioathineou@gmail.com"),
           person("Giorgos", "Borboudakis", role = c("ctb"), email = "borbudak@gmail.com"),
           person("Anna", "Roumpelaki", role = c("ctb"), email = "anna.roumpelaki@gmail.com") )
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@csd.uoc.gr>
Description: Many feature selection methods for a wide range of response variables, including 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>.  
License: GPL-2
Suggests: R.rsp,
VignetteBuilder: R.rsp, knitr,
Imports: methods, stats, utils, hash, survival, MASS, graphics,
        ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel,
        relations, Rfast, visNetwork, energy, geepack, knitr, dplyr
NeedsCompilation: no
Packaged: 2018-03-30 14:32:48 UTC; user
Repository: CRAN
Date/Publication: 2018-03-30 17:07:35 UTC
Built: R 3.3.3; ; 2018-04-22 17:33:50 UTC; windows
