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.
- Version2.1.2.2
- R versionunknown
- LicenseArtistic-2.0
- Needs compilation?Yes
- mRMRe citation info
- Last release11/05/2024
Documentation
Team
Benjamin Haibe-Kains
Gianluca Bontempi
Show author detailsRolesAuthorNicolas De Jay
Show author detailsRolesAuthorSimon Papillon-Cavanagh
Show author detailsRolesAuthorCatharina Olsen
Show author detailsRolesAuthorBo Li
Show author detailsRolesAuthorChristopher Eeles
Show author detailsRolesContributor
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- Depends2 packages
- Reverse Imports1 package
- Reverse Suggests4 packages