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>.
Version: |
2.1.2.1 |
Depends: |
R (≥ 3.5), survival, igraph, methods |
Published: |
2023-04-25 |
DOI: |
10.32614/CRAN.package.mRMRe |
Author: |
Nicolas De Jay [aut],
Simon Papillon-Cavanagh [aut],
Catharina Olsen [aut],
Gianluca Bontempi [aut],
Bo Li [aut],
Christopher Eeles [ctb],
Benjamin Haibe-Kains [aut, cre] |
Maintainer: |
Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca> |
License: |
Artistic-2.0 |
URL: |
https://www.pmgenomics.ca/bhklab/ |
NeedsCompilation: |
yes |
Citation: |
mRMRe citation info |
CRAN checks: |
mRMRe results [issues need fixing before 2024-10-04] |
Documentation:
Downloads:
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