Package: MDFS
Title: MultiDimensional Feature Selection
Version: 1.0.5
Date: 2019-11-10
Authors@R: c(
    person("Radosław", "Piliszek", email = "r.piliszek@uwb.edu.pl", role = c("aut", "cre")),
    person("Krzysztof", "Mnich", email = "k.mnich@uwb.edu.pl", role = "aut"),
    person("Paweł", "Tabaszewski", email = "tabaszewski.pawel@gmail.com", role = "aut"),
    person("Szymon", "Migacz", email = "szmigacz@gmail.com", role = "aut"),
    person("Andrzej", "Sułecki", email = "asulecki@gmail.com", role = "aut"),
    person(c("Witold", "Remigiusz"), "Rudnicki", email = "w.rudnicki@icm.edu.pl", role = "aut"))
URL: https://featureselector.uco.uwb.edu.pl/software/mdfs/
Description: Functions for MultiDimensional Feature Selection (MDFS):
 calculating multidimensional information gains, scoring variables,
 finding important variables, plotting selection results.
 This package includes an optional CUDA implementation that speeds up
 information gain calculation using NVIDIA GPGPUs.
Depends: R (>= 3.4.0)
License: GPL-3
SystemRequirements: C++11
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Packaged: 2019-11-10 17:21:01 UTC; test
Author: Radosław Piliszek [aut, cre],
  Krzysztof Mnich [aut],
  Paweł Tabaszewski [aut],
  Szymon Migacz [aut],
  Andrzej Sułecki [aut],
  Witold Remigiusz Rudnicki [aut]
Maintainer: Radosław Piliszek <r.piliszek@uwb.edu.pl>
Repository: CRAN
Date/Publication: 2019-11-10 17:40:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-03-12 05:24:42 UTC; windows
Archs: i386, x64
