rmcfs
The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) <doi:10.18637/jss.v085.i12>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.6 |
rolling source/ R- | rmcfs_1.3.6.tar.gz |
4.5 MiB |
1.3.6 |
latest source/ R- | rmcfs_1.3.6.tar.gz |
4.5 MiB |
1.3.6 |
2026-04-23 source/ R- | rmcfs_1.3.6.tar.gz |
4.5 MiB |
1.3.6 |
2026-04-09 windows/windows R-4.5 | rmcfs_1.3.6.zip |
4.4 MiB |