The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery [R package rmcfs version 1.3.6]

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年08月19日

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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