mRMRe: "Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"

"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 with DOI: N De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>."

Version: 2.1.0
Depends: survival, igraph, methods
Published: 2020-01-10
Author: Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at>
License: Artistic-2.0
NeedsCompilation: yes
Citation: mRMRe citation info
CRAN checks: mRMRe results


Reference manual: mRMRe.pdf
Vignettes: mRMRe: an R package for parallelized mRMR ensemble feature selection
Package source: mRMRe_2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mRMRe_2.1.0.tgz, r-oldrel: mRMRe_2.1.0.tgz
Old sources: mRMRe archive

Reverse dependencies:

Reverse imports: PAA
Reverse suggests: FRESA.CAD, mlr, mlrCPO


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