labelrank: Predicting Rankings of Labels

An implementation of distance-based ranking algorithms to predict rankings of labels. Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.

Version: 0.1
Depends: R (≥ 2.10)
Imports: pdist
Suggests: knitr
Published: 2015-11-22
Author: Artur Aiguzhinov [cre], Carlos Soares [aut]
Maintainer: Artur Aiguzhinov <aiguzhinov at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: labelrank results

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Reference manual: labelrank.pdf
Vignettes: Vignette Title
Package source: labelrank_0.1.tar.gz
Windows binaries: r-devel: labelrank_0.1.zip, r-release: labelrank_0.1.zip, r-oldrel: labelrank_0.1.zip
OS X El Capitan binaries: r-release: labelrank_0.1.tgz
OS X Mavericks binaries: r-oldrel: labelrank_0.1.tgz

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