Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis, Anna Roumpelaki
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.
Imports: methods, stats, utils, survival, MASS, TunePareto, Hmisc,
graphics, ordinal, nnet, betareg, quantreg, pscl, lme4,
foreach, doParallel, parallel, speedglm, e1071, relations,
Packaged: 2016-04-26 07:02:16 UTC; Administrator

foreach, doParallel, parallel, speedglm, e1071, relations, ggm

foreach, doParallel, parallel, speedglm, e1071, relations, ggm,

Suggests: gRbase, Biobase, hash, Rgraphviz,

Imports: methods, stats, utils, survival, MASS, Hmisc, graphics,
ordinal, nnet, betareg, quantreg, pscl, lme4, foreach,
doParallel, parallel, speedglm, e1071, relations, Rfast

Imports: methods, stats, utils, survival, MASS, graphics, ordinal,
nnet, quantreg, lme4, foreach, doParallel, parallel, speedglm,

e1071, relations, Rfast, visNetwork, energy

Authors@R: c(person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@csd.uoc.gr"),
person("Ioannis", "Tsamardinos", role = c("aut"), email = "tsamard.it@gmail.com"),
person("Vincenzo", "Lagani", role = c("aut"), 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], Vincenzo Lagani [aut], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
Imports: methods, stats, utils, hash, survival, MASS, graphics,
ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel,
speedglm, relations, Rfast, visNetwork, energy

Title: Feature Selection (Including Multiple Solutions) and Bayesian
Description: An R package for 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.