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

Package details

AuthorMichal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
MaintainerMichal Draminski <michal.draminski@ipipan.waw.pl>
URL https://home.ipipan.waw.pl/m.draminski/mcfs.html
Package repositoryView on CRAN
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rmcfs documentation built on Sept. 18, 2021, 5:07 p.m.