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RobustRankAggreg  

Methods for Robust Rank Aggregation
View on CRAN: Click here


Download and install RobustRankAggreg package within the R console
Install from CRAN:
install.packages("RobustRankAggreg")

Install from Github:
library("remotes")
install_github("cran/RobustRankAggreg")

Install by package version:
library("remotes")
install_version("RobustRankAggreg", "1.2.1")



Attach the package and use:
library("RobustRankAggreg")
Maintained by
Raivo Kolde
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-03-28
Latest Update: 2022-10-03
Description:
Methods for aggregating ranked lists, especially lists of genes. It implements the Robust Rank Aggregation Kolde et al (2012) 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.
How to cite:
Raivo Kolde (2011). RobustRankAggreg: Methods for Robust Rank Aggregation. R package version 1.2.1, https://cran.r-project.org/web/packages/RobustRankAggreg. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 1.0 (2011-03-28 16:28), 1.1 (2013-06-03 17:47), 1.2 (2022-07-12 02:20)
Other packages that cited RobustRankAggreg R package
View RobustRankAggreg citation profile
Other R packages that RobustRankAggreg depends, imports, suggests or enhances
Complete documentation for RobustRankAggreg
Functions, R codes and Examples using the RobustRankAggreg R package
Some associated functions: aggregateRanks . betaScores . cellCycleKO . rankMatrix . rhoScores . 
Some associated R codes: aggregateRanks.R .  Full RobustRankAggreg package functions and examples
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