RobustRankAggreg: Methods for robust rank aggregation

Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation (Kolde et. al in preparation) and some other simple algorithms for the task. RRA method uses a probabilistic model for aggregation that is robust to noise and also facilitates the calculation of significance probabilities for all the elements in the final ranking.

Version: 1.1
Depends: methods
Published: 2013-06-03
Author: Raivo Kolde, Sven Laur
Maintainer: Raivo Kolde <rkolde at gmail.com>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: RobustRankAggreg results

Downloads:

Reference manual: RobustRankAggreg.pdf
Package source: RobustRankAggreg_1.1.tar.gz
Windows binaries: r-devel: RobustRankAggreg_1.1.zip, r-release: RobustRankAggreg_1.1.zip, r-oldrel: RobustRankAggreg_1.1.zip
macOS binaries: r-release: RobustRankAggreg_1.1.tgz, r-oldrel: RobustRankAggreg_1.1.tgz
Old sources: RobustRankAggreg archive

Reverse dependencies:

Reverse imports: gCrisprTools, immcp, methylGSA

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