MXM (1.4.2)

0 users

Feature Selection (Including Multiple Solutions) and Bayesian Networks.

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). .

Maintainer: Michail Tsagris
Author(s): Michail Tsagris [aut, cre], Ioannis Tsamardinos [aut, cph], Vincenzo Lagani [aut, cph], Giorgos Athineou [aut], Giorgos Borboudakis [ctb], Anna Roumpelaki [ctb]

License: GPL-2

Uses: bigmemory, coxme, doParallel, dplyr, energy, foreach, geepack, knitr, lme4, MASS, nnet, ordinal, quantreg, relations, Rfast, survival, visNetwork, R.rsp

Released 2 months ago.

36 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of MXM yet. Want to be the first? Write one now.

Related packages: RSNNS, rminer, bayesmix, bnlearn, boa, coda, diagram, dynamicGraph, ergm, ggm, gRain, gRbase, igraph, pcalg, SIN, R2WinBUGS, ahaz, mlr, maptree, evtree(20 best matches, based on common tags.)

Search for MXM on google, google scholar, r-help, r-devel.

Visit MXM on R Graphical Manual.