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.
| Version: | 0.9.9 |
| Imports: | methods, stats, utils, survival, MASS, graphics, ordinal, nnet, quantreg, lme4, foreach, doParallel, parallel, speedglm, e1071, relations, Rfast, visNetwork, energy |
| Suggests: | hash, R.rsp |
| Published: | 2017-03-26 |
| Author: | Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis, Anna Roumpelaki |
| Maintainer: | Michail Tsagris <mtsagris at csd.uoc.gr> |
| License: | GPL-2 |
| URL: | http://mensxmachina.org |
| NeedsCompilation: | no |
| Citation: | MXM citation info |
| In views: | MachineLearning |
| CRAN checks: | MXM results |
| Reference manual: | MXM.pdf |
| Vignettes: |
R packages: LaTeX vignettes |
| Package source: | MXM_0.9.9.tar.gz |
| Windows binaries: | r-devel: MXM_0.9.9.zip, r-release: MXM_0.9.9.zip, r-oldrel: MXM_0.9.9.zip |
| OS X El Capitan binaries: | r-release: MXM_0.9.9.tgz |
| OS X Mavericks binaries: | r-oldrel: MXM_0.9.9.tgz |
| Old sources: | MXM archive |
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