Parallelized Minimum Redundancy, Maximum Relevance (mRMR) [R package mRMRe version 2.1.2.2]

mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

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>.

Version: 2.1.2.2

Depends: R (≥ 3.5), survival, igraph, methods

Published: 2024年11月05日

DOI: 10.32614/CRAN.package.mRMRe

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 at utoronto.ca>

License: Artistic-2.0

URL: https://www.pmgenomics.ca/bhklab/

NeedsCompilation: yes

Citation: mRMRe citation info

CRAN checks: mRMRe results

Documentation:

Reference manual: mRMRe.html , mRMRe.pdf

Vignettes: mRMRe: an R package for parallelized mRMR ensemble feature selection (source, R code)

Downloads:

Package source: mRMRe_2.1.2.2.tar.gz

Windows binaries: r-devel: mRMRe_2.1.2.2.zip, r-release: mRMRe_2.1.2.2.zip, r-oldrel: mRMRe_2.1.2.2.zip

macOS binaries: r-release (arm64): mRMRe_2.1.2.2.tgz, r-oldrel (arm64): mRMRe_2.1.2.2.tgz, r-release (x86_64): mRMRe_2.1.2.2.tgz, r-oldrel (x86_64): mRMRe_2.1.2.2.tgz

Old sources: mRMRe archive

Reverse dependencies:

Reverse imports: PAA, UBayFS

Reverse suggests: FRESA.CAD, mlr, mlrCPO, tidyfit

Linking:

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