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pmr  

Probability Models for Ranking Data
View on CRAN: Click here


Download and install pmr package within the R console
Install from CRAN:
install.packages("pmr")

Install from Github:
library("remotes")
install_github("cran/pmr")

Install by package version:
library("remotes")
install_version("pmr", "1.2.5.1")



Attach the package and use:
library("pmr")
Maintained by
Paul H. Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-09-06
Latest Update: 2022-06-24
Description:
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.
How to cite:
Paul H. Lee (2010). pmr: Probability Models for Ranking Data. R package version 1.2.5.1, https://cran.r-project.org/web/packages/pmr. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 1.0.1 (2010-09-11 11:12), 1.0 (2010-09-06 20:12), 1.1.1 (2011-11-25 08:13), 1.1.2 (2012-09-14 08:19), 1.2.0 (2013-05-20 07:33), 1.2.1 (2013-06-24 18:53), 1.2.2 (2013-08-02 11:06), 1.2.3 (2013-09-17 08:17), 1.2.4 (2014-05-17 22:54), 1.2.5 (2015-05-15 00:02)
Other packages that cited pmr R package
View pmr citation profile
Other R packages that pmr depends, imports, suggests or enhances
Complete documentation for pmr
Functions, R codes and Examples using the pmr R package
Some associated functions: ahp . big4 . breasttissue . dbm . destat . idea . leisure.black . leisure.white . local.knn.cv . local.knn . mdpref . phicom . pl . pmr-package . rankagg . rankplot . rinv . rol . song . wdbm . 
Some associated R codes: ahp.R . dbm.R . destat.R . local.knn.R . local.knn.cv.R . mdpref.R . phicom.R . pl.R . rankagg.R . rankplot.R . rinv.R . rol.R . wdbm.R .  Full pmr package functions and examples
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