Package: MDFS
Title: MultiDimensional Feature Selection
Version: 1.5.3
Date: 2023-05-09
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://www.mdfs.it/
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.
 R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.
Depends: R (>= 3.4.0)
License: GPL-3
SystemRequirements: C++17
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Packaged: 2023-05-09 16:56:53 UTC; ubuntu
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: 2023-05-09 23:40:06 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2023-05-09 23:51:04 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
