# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "MXM" in publications use:'
type: software
license: GPL-2.0-only
title: 'MXM: Feature Selection (Including Multiple Solutions) and Bayesian Networks'
version: 1.5.8
doi: 10.18637/jss.v080.i07
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MXM
abstract: '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.
  References: a) Lagani, V. and Athineou, G. and Farcomeni, A. and Tsagris, M. and
  Tsamardinos, I. (2017). "Feature Selection with the R Package MXM: Discovering Statistically
  Equivalent Feature Subsets". Journal of Statistical Software, 80(7). <https://doi.org/10.18637/jss.v080.i07>.
  b) Tsagris, M., Lagani, V. and Tsamardinos, I. (2018). "Feature selection for high-dimensional
  temporal data". BMC Bioinformatics, 19:17. <https://doi.org/10.1186/s12859-018-2023-7>.
  c) Tsagris, M., Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). "Constraint-based
  causal discovery with mixed data". International Journal of Data Science and Analytics,
  6(1): 19-30. <https://doi.org/10.1007/s41060-018-0097-y>. d) Tsagris, M., Papadovasilakis,
  Z., Lakiotaki, K. and Tsamardinos, I. (2018). "Efficient feature selection on gene
  expression data: Which algorithm to use?" BioRxiv. <https://doi.org/10.1101/431734>.
  e) Tsagris, M. (2019). "Bayesian Network Learning with the PC Algorithm: An Improved
  and Correct Variation". Applied Artificial Intelligence, 33(2):101-123. <https://doi.org/10.1080/08839514.2018.1526760>.
  f) Tsagris, M. and Tsamardinos, I. (2019). "Feature selection with the R package
  MXM". F1000Research 7: 1505. <https://doi.org/10.12688/f1000research.16216.2>. g)
  Borboudakis, G. and Tsamardinos, I. (2019). "Forward-Backward Selection with Early
  Dropping". Journal of Machine Learning Research 20: 1-39. h) Tsagris, M., Papadovasilakis,
  Z., Lakiotaki, K. and Tsamardinos, I. (2022). "The gamma-OMP algorithm for feature
  selection with application to gene expression data". IEEE/ACM Transactions on Computational
  Biology and Bioinformatics 19(2): 1214-1224. <https://doi.org/10.1109/TCBB.2020.3029952>.'
authors:
- family-names: Biza
  given-names: Konstantina
  email: kbiza@csd.uoc.gr
- family-names: Tsamardinos
  given-names: Ioannis
  email: tsamard.it@gmail.com
- family-names: Lagani
  given-names: Vincenzo
  email: vlagani@yahoo.it
- family-names: Athineou
  given-names: Giorgos
  email: gioathineou@gmail.com
- family-names: Tsagris
  given-names: Michail
  email: mtsagris@uoc.gr
- family-names: Papadopoulos
  given-names: Stavros
  email: staurospapflor@gmail.com
preferred-citation:
  type: article
  title: 'Feature Selection with the R Package MXM: Discovering Statistically Equivalent
    Feature Subsets'
  authors:
  - family-names: Lagani
    given-names: Vincenzo
    email: vlagani@yahoo.it
  - family-names: Athineou
    given-names: Giorgos
    email: gioathineou@gmail.com
  - family-names: Farcomeni
    given-names: Alessio
  - family-names: Tsagris
    given-names: Michail
    email: mtsagris@uoc.gr
  - family-names: Tsamardinos
    given-names: Ioannis
    email: tsamard.it@gmail.com
  journal: Journal of Statistical Software
  year: '2017'
  volume: '80'
  issue: '7'
  doi: 10.18637/jss.v080.i07
repository: https://stavrospap1.r-universe.dev
commit: 60e9e8ead4105e23ed451a0ced9b57bb805aa37d
date-released: '2026-07-21'
contact:
- family-names: Papadopoulos
  given-names: Stavros
  email: staurospapflor@gmail.com