Package: RankAggregator 0.0.1
RankAggregator: Aggregation of (Partial) Ordinal Rankings
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) <doi:10.1016/j.cor.2005.05.030>.
Authors:
RankAggregator_0.0.1.tar.gz
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RankAggregator_0.0.1.tgz(r-4.4-any)RankAggregator_0.0.1.tgz(r-4.3-any)
RankAggregator_0.0.1.tar.gz(r-4.5-noble)RankAggregator_0.0.1.tar.gz(r-4.4-noble)
RankAggregator_0.0.1.tgz(r-4.4-emscripten)RankAggregator_0.0.1.tgz(r-4.3-emscripten)
RankAggregator.pdf |RankAggregator.html✨
RankAggregator/json (API)
| # Install 'RankAggregator' in R: |
| install.packages('RankAggregator', repos = c('https://jburns88.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jburns88/rankaggregator/issues
- cook_example - Example data: partial rankings
Last updated 4 years agofrom:ece714503a. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 01 2024 |
| R-4.5-win | NOTE | Nov 01 2024 |
| R-4.5-linux | NOTE | Nov 01 2024 |
| R-4.4-win | NOTE | Nov 01 2024 |
| R-4.4-mac | NOTE | Nov 01 2024 |
| R-4.3-win | NOTE | Nov 01 2024 |
| R-4.3-mac | NOTE | Nov 01 2024 |
Exports:consensusRankingconsensusRankingBootevaluationMatrixextendRankinglowerBoundupperBound
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Rank aggregation of partial rankings | consensusRanking |
| Rank aggregation of partial rankings with optonal bootstrapping | consensusRankingBoot |
| Example data: partial rankings | cook_example |
| Evaluation matrix | evaluationMatrix |
| Fully extend a partial ranking | extendRanking |
| Lower bound value | lowerBound |
| RankAggregator | RankAggregator-package RankAggregator |
| Upper bound value | upperBound |
