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.

Version: 2.0.7
Depends: survival, igraph, methods
Published: 2017-11-03
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_2.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: mRMRe_2.0.7.tgz
OS X Mavericks binaries: r-oldrel: mRMRe_2.0.7.tgz
Old sources: mRMRe archive

Reverse dependencies:

Reverse suggests: exprso, mlr


Please use the canonical form to link to this page.