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RankAggregator  

Aggregation of (Partial) Ordinal Rankings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RankAggregator", "0.0.1")



Attach the package and use:
library("RankAggregator")
Maintained by
Jay Burns
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-31
Latest Update: 2020-08-31
Description:
Easily compute an aggregate ranking (also called a median ranking or a consensus ranking) according to the axiomatic approach presented by Cook et al. (2007). This approach minimises the number of violations between all candidate consensus rankings and all input (partial) rankings, and draws on a branch and bound algorithm and a heuristic algorithm to drastically improve speed. The package also provides an option to bootstrap a consensus ranking based on resampling input rankings (with replacement). Input rankings can be either incomplete (partial) or complete. Reference: Cook, W.D., Golany, B., Penn, M. and Raviv, T. (2007) .
How to cite:
Jay Burns (2020). RankAggregator: Aggregation of (Partial) Ordinal Rankings. R package version 0.0.1, https://cran.r-project.org/web/packages/RankAggregator. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2020-08-31 11:20)
Other packages that cited RankAggregator R package
View RankAggregator citation profile
Other R packages that RankAggregator depends, imports, suggests or enhances
Complete documentation for RankAggregator
Functions, R codes and Examples using the RankAggregator R package
Some associated functions: RankAggregator . consensusRanking . consensusRankingBoot . cook_example . evaluationMatrix . extendRanking . lowerBound . upperBound . 
Some associated R codes: doc_data.R . doc_functions.R . doc_package.R .  Full RankAggregator package functions and examples
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