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
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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:

12 exports 0.74 score 9 dependencies 2 scripts 244 downloads

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

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winNOTESep 11 2024
R-4.5-linuxNOTESep 11 2024
R-4.4-winNOTESep 11 2024
R-4.4-macNOTESep 11 2024
R-4.3-winNOTESep 11 2024
R-4.3-macNOTESep 11 2024

Exports:compute_avg_taufurget_indicesget_sub_rkgsmean_seedmod_kemenyprepare_datarap_greedy_algseed_based_iterationsigfursubit_convergencetotalKem_mult

Dependencies:combinatdata.tableplyrRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfast