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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.2.2 |
rolling linux/jammy R-4.5 | mRMRe_2.1.2.2.tar.gz |
1.6 MiB |
2.1.2.2 |
rolling linux/noble R-4.5 | mRMRe_2.1.2.2.tar.gz |
1.6 MiB |
2.1.2.2 |
rolling source/ R- | mRMRe_2.1.2.2.tar.gz |
1.4 MiB |
2.1.2.2 |
latest linux/jammy R-4.5 | mRMRe_2.1.2.2.tar.gz |
1.6 MiB |
2.1.2.2 |
latest linux/noble R-4.5 | mRMRe_2.1.2.2.tar.gz |
1.6 MiB |
2.1.2.2 |
latest source/ R- | mRMRe_2.1.2.2.tar.gz |
1.4 MiB |
2.1.2.2 |
2026-04-26 source/ R- | mRMRe_2.1.2.2.tar.gz |
1.4 MiB |
2.1.2.2 |
2026-04-23 source/ R- | mRMRe_2.1.2.2.tar.gz |
1.4 MiB |
2.1.2.2 |
2026-04-09 windows/windows R-4.5 | mRMRe_2.1.2.2.zip |
1.8 MiB |
2.1.2.2 |
2025-04-20 source/ R- | mRMRe_2.1.2.2.tar.gz |
1.4 MiB |