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.

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>
License: GPL-2
NeedsCompilation: no
CRAN checks: pmr results


Reference manual: pmr.pdf


Package source: pmr_1.2.5.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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 imports: PLMIX
Reverse suggests: PlackettLuce


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