RobustRankAggreg: Methods for Robust Rank Aggregation

Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation Kolde et al (2012) <doi:10.1093/bioinformatics/btr709> 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:	1.2.1
Depends:	methods
Published:	2022-10-03
Author:	Raivo Kolde [aut, cre], Sven Laur [ctb]
Maintainer:	Raivo Kolde <rkolde at gmail.com>
License:	GPL-2
NeedsCompilation:	no
In views:	MetaAnalysis
CRAN checks:	RobustRankAggreg results

Documentation:

Reference manual:

RobustRankAggreg.pdf

Downloads:

Package source:	RobustRankAggreg_1.2.1.tar.gz
Windows binaries:	r-devel: RobustRankAggreg_1.2.1.zip, r-release: RobustRankAggreg_1.2.1.zip, r-oldrel: RobustRankAggreg_1.2.1.zip
macOS binaries:	r-release (arm64): RobustRankAggreg_1.2.1.tgz, r-oldrel (arm64): RobustRankAggreg_1.2.1.tgz, r-release (x86_64): RobustRankAggreg_1.2.1.tgz, r-oldrel (x86_64): RobustRankAggreg_1.2.1.tgz
Old sources:	RobustRankAggreg archive

Reverse dependencies:

Reverse imports:

gCrisprTools, methylGSA

Linking:

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