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
Insights
Last 30 days
This package has been downloaded 2,021 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 51 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 17,361 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Feb 26, 2025 with 493 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages
- Reverse Imports1 package
- Reverse Suggests4 packages