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.
- Version1.3.6
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- rmcfs citation info
- Last release08/19/2024
Documentation
Team
Michal Draminski
Jacek Koronacki
Show author detailsRolesAuthorJulian Zubek
Show author detailsRolesContributor
Insights
Last 30 days
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
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