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>.

Package details

AuthorNicolas De Jay [aut], Simon Papillon-Cavanagh [aut], Catharina Olsen [aut], Gianluca Bontempi [aut], Bo Li [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre]
MaintainerBenjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
LicenseArtistic-2.0
Version2.1.2
URL https://www.pmgenomics.ca/bhklab/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mRMRe")

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mRMRe documentation built on Sept. 5, 2021, 5:26 p.m.