FSelector: Selecting attributes

This package provides 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: 0.20
Imports: randomForest, RWeka, digest, entropy
Suggests: mlbench, rpart
Published: 2014-10-25
Author: Piotr Romanski, Lars Kotthoff
Maintainer: Lars Kotthoff <larsko at 4c.ucc.ie>
License: GPL-2
NeedsCompilation: no
CRAN checks: FSelector results

Downloads:

Reference manual: FSelector.pdf
Package source: FSelector_0.20.tar.gz
Windows binaries: r-devel: FSelector_0.20.zip, r-release: FSelector_0.20.zip, r-oldrel: FSelector_0.20.zip
OS X Snow Leopard binaries: r-release: FSelector_0.20.tgz, r-oldrel: FSelector_0.20.tgz
OS X Mavericks binaries: r-release: FSelector_0.20.tgz
Old sources: FSelector archive

Reverse dependencies:

Reverse suggests: llama, mlr