Published August 27, 2018 | Version 1.3.9
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MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks

Authors/Creators

  • 1. Department of Computer Science, University of Crete
  • 2. Ilia State University

Description

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>.

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Additional details

Related works

Cites
10.18637/jss.v080.i07 (DOI)

Funding

European Commission
CAUSALPATH - Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data 617393