Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.
Version: 0.34 Imports: digest, entropy, randomForest, RWeka Suggests: mlbench, rpart Published: 2023-08-22 DOI: 10.32614/CRAN.package.FSelector Author: Piotr Romanski, Lars Kotthoff, Patrick Schratz Maintainer: Lars Kotthoff <larsko at uwyo.edu> BugReports: https://github.com/larskotthoff/fselector/issues License: GPL-2 URL: https://github.com/larskotthoff/fselector NeedsCompilation: no Materials: README CRAN checks: FSelector results Documentation: Reference manual: FSelector.pdf Downloads: Package source: FSelector_0.34.tar.gz Windows binaries: r-devel: FSelector_0.34.zip, r-release: FSelector_0.34.zip, r-oldrel: FSelector_0.34.zip macOS binaries: r-release (arm64): FSelector_0.34.tgz, r-oldrel (arm64): FSelector_0.34.tgz, r-release (x86_64): FSelector_0.34.tgz, r-oldrel (x86_64): FSelector_0.34.tgz Old sources: FSelector archive Reverse dependencies: Reverse imports: D2MCS, daltoolboxdp, DaMiRseq, sae.projection Reverse suggests: FSelectorRcpp, mlr, mlrCPO Linking:Please use the canonical form https://CRAN.R-project.org/package=FSelector to link to this page.
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