MDFS: MultiDimensional Feature Selection

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>.

Version: 1.5.3
Depends: R (≥ 3.4.0)
Published: 2023-05-09
DOI: 10.32614/CRAN.package.MDFS
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 at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++17
Materials: NEWS
CRAN checks: MDFS results


Reference manual: MDFS.pdf


Package source: MDFS_1.5.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MDFS_1.5.3.tgz, r-oldrel (arm64): MDFS_1.5.3.tgz, r-release (x86_64): MDFS_1.5.3.tgz, r-oldrel (x86_64): MDFS_1.5.3.tgz
Old sources: MDFS archive

Reverse dependencies:

Reverse imports: RAFS


Please use the canonical form to link to this page.