Package: RankAggregator 0.0.1

Jay Burns

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
card.svg |card.png
RankAggregator/json (API)

# Install 'RankAggregator' in R:
install.packages('RankAggregator', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 180 downloads 6 exports 0 dependencies

Last updated from:a8e3fab750 (on package/RankAggregator). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK133
linux-release-x86_64OK94
macos-release-arm64OK79
macos-oldrel-arm64OK93
windows-develOK67
windows-releaseOK120
windows-oldrelOK53
wasm-releaseOK88

Exports:consensusRankingconsensusRankingBootevaluationMatrixextendRankinglowerBoundupperBound

Dependencies: