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-4.5)RankAggSIgFUR_1.0.0.zip(r-4.4)RankAggSIgFUR_1.0.0.zip(r-4.3)
RankAggSIgFUR_1.0.0.tgz(r-4.4-any)RankAggSIgFUR_1.0.0.tgz(r-4.3-any)
RankAggSIgFUR_1.0.0.tar.gz(r-4.5-noble)RankAggSIgFUR_1.0.0.tar.gz(r-4.4-noble)
RankAggSIgFUR_1.0.0.tgz(r-4.4-emscripten)RankAggSIgFUR_1.0.0.tgz(r-4.3-emscripten)
RankAggSIgFUR.pdf |RankAggSIgFUR.html✨
RankAggSIgFUR/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

2.70 score 3 scripts 211 downloads 12 exports 9 dependencies

Last updated 1 years agofrom:3c9e83da79. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxNOTENov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:compute_avg_taufurget_indicesget_sub_rkgsmean_seedmod_kemenyprepare_datarap_greedy_algseed_based_iterationsigfursubit_convergencetotalKem_mult

Dependencies:combinatdata.tableplyrRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast