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>."

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Description file content

Package
mRMRe
Type
Package
Title
"Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"
Version
2.0.9
Date
2019-02-13
Author
Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Maintainer
Benjamin Haibe-Kains
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 with DOI: N De Jay et al. (2013) ."
License
Artistic-2.0
Depends
R (>= 2.10), survival, igraph, methods
URL
NeedsCompilation
yes
Packaged
2019-02-14 00:45:08 UTC; gangesh
Repository
CRAN
Date/Publication
2019-02-14 09:20:14 UTC

install.packages('mRMRe')

2.0.9

a month ago

http://www.pmgenomics.ca/bhklab/

Benjamin Haibe-Kains

Artistic-2.0

Depends on

R (>= 2.10), survival, igraph, methods

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