Package: RankAggSIgFUR 1.0.0

Rakhi Singh

RankAggSIgFUR: Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic Approach

Polynomially bounded algorithms to aggregate complete rankings under Kemeny's axiomatic framework. 'RankAggSIgFUR' (pronounced as rank-agg-cipher) contains two heuristics algorithms: FUR and SIgFUR. For details, please see Badal and Das (2018) <doi:10.1016/j.cor.2018.06.007>.

Authors:Hannah Parker [aut], Rakhi Singh [cre, aut], Prakash Singh Badal [aut]

RankAggSIgFUR_1.0.0.tar.gz
RankAggSIgFUR_1.0.0.zip(r-4.7)RankAggSIgFUR_1.0.0.zip(r-4.6)RankAggSIgFUR_1.0.0.zip(r-4.5)
RankAggSIgFUR_1.0.0.tgz(r-4.6-any)RankAggSIgFUR_1.0.0.tgz(r-4.5-any)
RankAggSIgFUR_1.0.0.tar.gz(r-4.7-any)RankAggSIgFUR_1.0.0.tar.gz(r-4.6-any)
RankAggSIgFUR_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RankAggSIgFUR/json (API)

# Install 'RankAggSIgFUR' in R:
install.packages('RankAggSIgFUR', repos = c('https://prakashvs613.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/prakashvs613/rankaggsigfur/issues

Datasets:

On CRAN:

Conda:

2.70 score 3 scripts 146 downloads 12 exports 8 dependencies

Last updated from:3c9e83da79. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE116
source / vignettesOK165
linux-release-x86_64NOTE114
macos-release-arm64NOTE113
macos-oldrel-arm64NOTE152
windows-develNOTE94
windows-releaseNOTE84
windows-oldrelNOTE101
wasm-releaseOK96

Exports:compute_avg_taufurget_indicesget_sub_rkgsmean_seedmod_kemenyprepare_datarap_greedy_algseed_based_iterationsigfursubit_convergencetotalKem_mult

Dependencies:combinatdata.tableplyrRcppRcppArmadilloRcppParallelRfastzigg