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>.

Version:	1.3.6
Depends:	rJava (≥ 0.5-0), R (≥ 2.70)
Imports:	yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph (≥ 2.0.0), data.table (≥ 1.0.1)
Suggests:	testthat, R.rsp
Published:	2024-08-19
DOI:	10.32614/CRAN.package.rmcfs
Author:	Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer:	Michal Draminski <michal.draminski at ipipan.waw.pl>
License:	GPL-3
URL:	https://home.ipipan.waw.pl/m.draminski/mcfs.html
NeedsCompilation:	no
SystemRequirements:	Java (>= 7)
Citation:	rmcfs citation info
Materials:	NEWS
CRAN checks:	rmcfs results

Documentation:

Reference manual:	rmcfs.html , rmcfs.pdf
Vignettes:	Draminski & Koronacki (2018): rmcfs paper (Journal of Statistical Software) (source)

Downloads:

Package source:	rmcfs_1.3.6.tar.gz
Windows binaries:	r-devel: rmcfs_1.3.6.zip, r-release: rmcfs_1.3.6.zip, r-oldrel: rmcfs_1.3.6.zip
macOS binaries:	r-release (arm64): rmcfs_1.3.6.tgz, r-oldrel (arm64): rmcfs_1.3.6.tgz, r-release (x86_64): rmcfs_1.3.6.tgz, r-oldrel (x86_64): rmcfs_1.3.6.tgz
Old sources:	rmcfs archive

Reverse dependencies:

Reverse imports:

BASiNET

Linking:

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