rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Version 1.2.6

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.

Getting started

Package details

AuthorMichal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Date of publication2017-07-03 16:37:50 UTC
MaintainerMichal Draminski <[email protected]>
URL www.ipipan.eu/staff/m.draminski/mcfs.html
Package repositoryView on CRAN
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rmcfs documentation built on July 4, 2017, 9:23 a.m.