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

Documentation:

Reference manual:	labelrank.pdf
Vignettes:	Vignette Title

Downloads:

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
macOS binaries:	r-release (arm64): labelrank_0.1.tgz, r-oldrel (arm64): labelrank_0.1.tgz, r-release (x86_64): labelrank_0.1.tgz, r-oldrel (x86_64): labelrank_0.1.tgz

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