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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>.
Getting started
Browse package contents
Package details |
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| Author | Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb] |
| Maintainer | Michal Draminski <michal.draminski@ipipan.waw.pl> |
| License | GPL-3 |
| Version | 1.3.5 |
| URL | https://home.ipipan.waw.pl/m.draminski/mcfs.html |
| Package repository | View on CRAN |
| Installation |
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