Package: rmcfs
Title: The MCFS-ID Algorithm for Feature Selection and Interdependency
        Discovery
Version: 1.3.5
Date: 2021-09-17
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,
        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) <doi:10.18637/jss.v085.i12>.
License: GPL-3
URL: https://home.ipipan.waw.pl/m.draminski/mcfs.html
LazyData: no
NeedsCompilation: no
Packaged: 2021-09-17 15:32:16 UTC; mdraminski
Author: Michal Draminski [aut, cre],
  Jacek Koronacki [aut],
  Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>
Repository: CRAN
Date/Publication: 2021-09-18 13:30:02 UTC
Built: R 4.0.5; ; 2022-04-21 10:28:24 UTC; windows
