Package: rmcfs Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery Version: 1.3.6 Date: 2024-08-18 Authors@R: c(person('Michal', 'Draminski', role = c('aut', 'cre'), email = 'michal.draminski@ipipan.waw.pl'), person('Jacek', 'Koronacki', role = c('aut'), email = 'jacek.koronacki@ipipan.waw.pl'), person('Julian', 'Zubek', role = c('ctb'), email = 'j.zubek@phd.ipipan.waw.pl')) Depends: rJava (>= 0.5-0), R (>= 2.70) Suggests: testthat, R.rsp VignetteBuilder: R.rsp Imports: yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph (>= 2.0.0), data.table (>= 1.0.1) SystemRequirements: Java (>= 7) Description: 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) . License: GPL-3 URL: https://home.ipipan.waw.pl/m.draminski/mcfs.html NeedsCompilation: no Packaged: 2026-07-03 10:47:27 UTC; root Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb] Maintainer: Michal Draminski Config/pak/sysreqs: default-jdk Repository: https://cran.r-universe.dev Date/Publication: 2024-08-20 02:53:41 UTC RemoteUrl: https://github.com/cran/rmcfs RemoteRef: HEAD RemoteSha: 105150ec71e1718940c66894b32f86845c2154cb