pmr: Probability Models for Ranking Data

Descriptive statistics (mean rank, pairwise frequencies, and marginal matrix), Analytic Hierarchy Process models (with Saaty's and Koczkodaj's inconsistencies), probability models (Luce models, distance-based models, and rank-ordered logit models) and visualization with multidimensional preference analysis for ranking data are provided. Current, only complete rankings are supported by this package.

Version:	1.2.5.1
Depends:	stats4
Imports:	methods
Published:	2022-06-24
DOI:	10.32614/CRAN.package.pmr
Author:	Paul H. Lee and Philip L. H. Yu
Maintainer:	Paul H. Lee <honglee at graduate.hku.hk>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	pmr results

Documentation:

Reference manual:

pmr.html , pmr.pdf

Downloads:

Package source:	pmr_1.2.5.1.tar.gz
Windows binaries:	r-devel: pmr_1.2.5.1.zip, r-release: pmr_1.2.5.1.zip, r-oldrel: pmr_1.2.5.1.zip
macOS binaries:	r-release (arm64): pmr_1.2.5.1.tgz, r-oldrel (arm64): pmr_1.2.5.1.tgz, r-release (x86_64): pmr_1.2.5.1.tgz, r-oldrel (x86_64): pmr_1.2.5.1.tgz
Old sources:	pmr archive

Reverse dependencies:

Reverse suggests:

PlackettLuce, PLMIX

Linking:

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