Package: mRMRe
Type: Package
Title: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Version: 2.1.3.1
Date: 2026-09-03
Authors@R: c(
  person('Nicolas', 'De Jay', role=c('aut')), 
  person('Simon', 'Papillon-Cavanagh', role=c('aut')), 
  person('Catharina', 'Olsen', role=c('aut')),
  person('Gianluca', 'Bontempi', role=c('aut')), 
  person('Bo', 'Li', role=c('aut')),
  person('Christopher', 'Eeles', role=c('ctb')),
  person('Benjamin', 'Haibe-Kains', email='benjamin.haibe.kains@utoronto.ca', 
    role=c('aut', 'cre'))
  )
Description: Computes mutual information matrices from continuous,
        categorical and survival variables, as well as feature
        selection with minimum redundancy, maximum relevance (mRMR) and
        a new ensemble mRMR technique. Published in De Jay et al.
        (2013) <doi:10.1093/bioinformatics/btt383>.
License: Artistic-2.0
Depends: R (>= 3.5), survival, igraph, methods
Encoding: UTF-8
URL: https://github.com/BHKLAB/mRMRe
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2026-10-04 10:06:28 UTC; root
Author: Nicolas De Jay [aut], Simon Papillon-Cavanagh [aut], Catharina
        Olsen [aut], Gianluca Bontempi [aut], Bo Li [aut], Christopher
        Eeles [ctb], Benjamin Haibe-Kains [aut, cre]
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-04 05:10:14 UTC
RemoteUrl: https://github.com/cran/mRMRe
RemoteRef: HEAD
RemoteSha: f222d8ac854a13bf0a252ee2e706d913918946da