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:Jay Burns [aut, cre], Adam Butler [aut]

RankAggregator_0.0.1.tar.gz
RankAggregator_0.0.1.zip(r-4.7)RankAggregator_0.0.1.zip(r-4.6)RankAggregator_0.0.1.zip(r-4.5)
RankAggregator_0.0.1.tgz(r-4.6-any)RankAggregator_0.0.1.tgz(r-4.5-any)
RankAggregator_0.0.1.tar.gz(r-4.7-any)RankAggregator_0.0.1.tar.gz(r-4.6-any)
RankAggregator_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
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

Datasets:

On CRAN:

Conda:

2.70 score 58 downloads 6 exports 0 dependencies

Last updated from:ece714503a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE154
source / vignettesOK144
linux-release-x86_64NOTE297
macos-release-arm64NOTE159
macos-oldrel-arm64NOTE192
windows-develNOTE52
windows-releaseNOTE63
windows-oldrelNOTE337
wasm-releaseOK98

Exports:consensusRankingconsensusRankingBootevaluationMatrixextendRankinglowerBoundupperBound

Dependencies: