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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.

Version:1.1.4
Depends:R (≥ 2.10)
Imports:Rcpp (≥ 0.11.4),hash,optimx,permute, methods
LinkingTo:Rcpp
Suggests:testthat
Published:2019-07-27
DOI:10.32614/CRAN.package.rankdist
Author:Zhaozhi Qian
Maintainer:Zhaozhi Qian <qianzhaozhi at connect.hku.hk>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Citation:rankdist citation info
CRAN checks:rankdist results

Documentation:

Reference manual:rankdist.html ,rankdist.pdf

Downloads:

Package source: rankdist_1.1.4.tar.gz
Windows binaries: r-devel:rankdist_1.1.4.zip, r-release:rankdist_1.1.4.zip, r-oldrel:rankdist_1.1.4.zip
macOS binaries: r-release (arm64):rankdist_1.1.4.tgz, r-oldrel (arm64):rankdist_1.1.4.tgz, r-release (x86_64):rankdist_1.1.4.tgz, r-oldrel (x86_64):rankdist_1.1.4.tgz
Old sources: rankdist archive

Reverse dependencies:

Reverse suggests:PLMIX

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rankdistto link to this page.


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