Package: rankdist 1.1.4

Zhaozhi Qian

rankdist: Distance Based Ranking Models

Implements distance based probability models for ranking data. The supported distance metrics include Kendall distance, Spearman distance, Footrule distance, Hamming distance, Weighted-tau distance and Weighted Kendall distance. Phi-component model and mixture models are also supported.

Authors:Zhaozhi Qian

rankdist_1.1.4.tar.gz
rankdist_1.1.4.tar.gz(r-4.7-arm64)rankdist_1.1.4.tar.gz(r-4.7-x86_64)rankdist_1.1.4.tar.gz(r-4.6-arm64)rankdist_1.1.4.tar.gz(r-4.6-x86_64)
rankdist_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rankdist/json (API)

# Install 'rankdist' in R:
install.packages('rankdist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • apa_obj - American Psychological Association (APA) election data
  • apa_partial_obj - American Psychological Association

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.41 score 1 packages 85 scripts 300 downloads 11 exports 7 dependencies

Last updated from:5deb852108. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK167
source / vignettesOK174
linux-release-arm64OK129
linux-release-x86_64OK140
wasm-releaseOK178

Exports:DistanceBlockDistanceMatrixDistancePairGenerateExampleGenerateExampleTopQHashtoRankModelSummaryMomentsEstOrderingToRankingRankDistanceModelRanktoHash

Dependencies:hashnloptrnumDerivoptimxpermutepracmaRcpp

Readme and manuals

Help Manual

Help pageTopics
A package for fitting distance based ranking modelsrankdist-package rankdist
American Psychological Association (APA) election dataapa_obj
American Psychological Association (APA) election data (partial rankings included)apa_partial_obj
Calculate Kendall distance between one ranking and a matrix of rankingsDistanceBlock
Calculate Kendall distance matrix between rankingsDistanceMatrix
Calculate Kendall distance between a pair of rankingsDistancePair
Generate simple examplesGenerateExample
Generate simple examples of top-q rankingsGenerateExampleTopQ
Obtain Ranking from Hash ValueHashtoRank
Print a brief summary of the fitted modelModelSummary
Find Initial Values of phiMomentsEst
Transformation between Rankings and OrderingsOrderingToRanking
RankControl ClassRankControl RankControl-class
RankControlCayley ClassRankControlCayley RankControlCayley-class
RankControlFootrule ClassRankControlFootrule RankControlFootrule-class
RankControlHamming ClassRankControlHamming RankControlHamming-class
RankControlKendall ClassRankControlKendall RankControlKendall-class
RankControlPhiComponent ClassRankControlPhiComponent RankControlPhiComponent-class
RankControlSpearman ClassRankControlSpearman RankControlSpearman-class
RankControlWeightedKendall ClassRankControlWeightedKendall RankControlWeightedKendall-class
RankControlWtau ClassRankControlWtau RankControlWtau-class
RankData ClassRankData RankData-class
Fit A Mixture of Distance-based ModelsRankDistanceModel
RankInit ClassRankInit RankInit-class
Create Hash Value for RankingRanktoHash