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>.
| Version: | 1.4.2 |
| Depends: | R (≥ 3.5) |
| Imports: | methods, stats, utils, survival, MASS, graphics, ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel, relations, Rfast, visNetwork, energy, geepack, knitr, dplyr, bigmemory, coxme |
| Suggests: | R.rsp |
| Published: | 2019-01-15 |
| 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 at csd.uoc.gr> |
| License: | GPL-2 |
| URL: | http://mensxmachina.org |
| NeedsCompilation: | no |
| Citation: | MXM citation info |
| In views: | MachineLearning, gR |
| CRAN checks: | MXM results |
| Reference manual: | MXM.pdf |
| Vignettes: |
Guide on performing feature selection with the R package MXM Discovering Statistically-Equivalent Feature Subsets with MXM A very brief guide to using MXM Tutorial: Feature selection with the FBED algorithm Tutorial: Feature selection with the MMPC algorithm Tutorial: Bayesian Network Construction Tutorial: Feature selection with the SES algorithm |
| Package source: | MXM_1.4.2.tar.gz |
| Windows binaries: | r-devel: MXM_1.4.2.zip, r-release: MXM_1.4.2.zip, r-oldrel: MXM_1.4.2.zip |
| OS X binaries: | r-release: MXM_1.4.2.tgz, r-oldrel: MXM_1.4.2.tgz |
| Old sources: | MXM archive |
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