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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.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 imports: PLMIX

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rankdist to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.