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") )
Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]
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>.

Michail Tsagris [aut, cre],
Ioannis Tsamardinos [aut, cph],
Vincenzo Lagani [aut, cph],
Giorgos Athineou [aut],
Giorgos Borboudakis [ctb],
Anna Roumpelaki [ctb]
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>.
methods, stats, utils, hash, survival, MASS, graphics,
ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel,
relations, Rfast, visNetwork, energy, geepack