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) .


Reference manual

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install.packages("rmcfs")

1.3.6 by Michal Draminski, 2 years ago


https://home.ipipan.waw.pl/m.draminski/mcfs.html


Browse source code at https://github.com/cran/rmcfs


Authors: Michal Draminski [aut, cre] , Jacek Koronacki [aut] , Julian Zubek [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph, data.table

Depends on rJava

Suggests testthat, R.rsp

System requirements: Java (>= 7)


Imported by BASiNET.


See at CRAN