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 ORCID iD [aut, cre], Sven Laur ORCID iD [ctb]
Maintainer: Raivo Kolde <rkolde at>
License: GPL-2
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: RobustRankAggreg results


Reference manual: RobustRankAggreg.pdf


Package source: RobustRankAggreg_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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