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.

Package details

AuthorNicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
MaintainerBenjamin Haibe-Kains <[email protected]>
Package repositoryView on CRAN
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mRMRe documentation built on Nov. 17, 2017, 6:33 a.m.