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FSelector: Selecting Attributes

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
Reverse suggests: FSelectorRcpp, mlr, mlrCPO, varrank

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FSelector to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.