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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.

Versions across snapshots

VersionRepositoryFileSize
1.2.1 rolling linux/jammy R-4.5 RobustRankAggreg_1.2.1.tar.gz 47.6 KiB
1.2.1 rolling linux/noble R-4.5 RobustRankAggreg_1.2.1.tar.gz 47.5 KiB
1.2.1 rolling source/ R- RobustRankAggreg_1.2.1.tar.gz 21.0 KiB
1.2.1 latest linux/jammy R-4.5 RobustRankAggreg_1.2.1.tar.gz 47.6 KiB
1.2.1 latest linux/noble R-4.5 RobustRankAggreg_1.2.1.tar.gz 47.5 KiB
1.2.1 latest source/ R- RobustRankAggreg_1.2.1.tar.gz 21.0 KiB
1.2.1 2026-04-26 source/ R- RobustRankAggreg_1.2.1.tar.gz 21.0 KiB
1.2.1 2026-04-23 source/ R- RobustRankAggreg_1.2.1.tar.gz 21.0 KiB
1.2.1 2026-04-09 windows/windows R-4.5 RobustRankAggreg_1.2.1.zip 51.1 KiB
1.2.1 2025-04-20 source/ R- RobustRankAggreg_1.2.1.tar.gz 21.0 KiB

Dependencies (latest)

Depends