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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=rmcfs to link to this page.
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