_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-rmcfs 1.3.6
Dependencies: openjdk@21.0.2
Propagated dependencies: r-yaml@2.3.10 r-stringi@1.8.4 r-rjava@1.0-11 r-reshape2@1.4.4 r-igraph@2.1.1 r-gridextra@2.3 r-ggplot2@3.5.1 r-dplyr@1.1.4 r-data-table@1.16.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://home.ipipan.waw.pl/m.draminski/mcfs.html
Licenses: GPL 3
Synopsis: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
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>.

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