Package: rmcfs
Title: The MCFS-ID Algorithm for Feature Selection and Interdependency
        Discovery
Version: 1.2.10
Date: 2018-03-27
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
Imports: yaml, ggplot2, reshape2, dplyr, igraph (>= 1.0.1)
SystemRequirements: Java (>= 6)
VignetteBuilder: R.rsp
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, A.Rada-Iglesias, S.Enroth, C.Wadelius, J. Koronacki, J.Komorowski (2008) <doi:10.1093/bioinformatics/btm486>.
License: GPL-3
URL: www.ipipan.eu/staff/m.draminski/mcfs.html
LazyData: yes
NeedsCompilation: no
Packaged: 2018-03-27 21:15:43 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: 2018-03-27 21:43:55 UTC
Built: R 3.3.3; ; 2018-04-22 17:35:30 UTC; windows
