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


Reference manual: rankdist.pdf


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 imports: PLMIX


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