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mRMRe  

Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
View on CRAN: Click here


Download and install mRMRe package within the R console
Install from CRAN:
install.packages("mRMRe")

Install from Github:
library("remotes")
install_github("cran/mRMRe")

Install by package version:
library("remotes")
install_version("mRMRe", "2.1.2.2")



Attach the package and use:
library("mRMRe")
Maintained by
Benjamin Haibe-Kains
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-23
Latest Update: 2024-11-05
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. Published in De Jay et al. (2013) .
How to cite:
Benjamin Haibe-Kains (2012). mRMRe: Parallelized Minimum Redundancy, Maximum Relevance (mRMR). R package version 2.1.2.2, https://cran.r-project.org/web/packages/mRMRe. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-09-04 07:11), 1.0.1 (2012-08-23 08:10), 1.0.2 (2012-08-24 08:40), 2.0.0 (2013-04-16 19:36), 2.0.2 (2013-05-23 17:35), 2.0.3 (2013-12-10 14:56), 2.0.4 (2014-01-02 19:18), 2.0.5 (2015-03-21 19:47), 2.0.7 (2017-11-04 00:41), 2.0.9 (2019-12-02 07:57), 2.1.0 (2020-01-10 12:20), 2.1.1 (2021-05-27 10:20), 2.1.2.1 (2023-04-25 07:57), 2.1.2.2 (2024-11-05 06:22), 2.1.2 (2021-09-04 07:20)
Other packages that cited mRMRe R package
View mRMRe citation profile
Other R packages that mRMRe depends, imports, suggests or enhances
Complete documentation for mRMRe
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