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pmr (version 1.2.5)

Probability Models for Ranking Data

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.

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Version

Install

install.packages('pmr')

Monthly Downloads

435

Version

1.2.5

License

GPL-2

Maintainer

Paul H Lee

Last Published

May 15th, 2015

Functions in pmr (1.2.5)

Probability Models for Ranking Data

Probability Models for Ranking Data
rankplot

Visualizing rankings of 3 or 4 items by plot.
local.knn

Local k-nearest neighbor method for label ranking.
rankagg

Summary of a ranking dataset.
dbm

Distance-based Models
wdbm

Weighted Distance-based Models
mdpref

Multidimensional preference analysis.
destat

Descriptive statistics of a ranking dataset
leisure.black

leisure.black
phicom

phi-component Models
rol

The Rank-ordered Logit Models
rinv

Inverse of a ranking dataset.
pl

The Luce Models
leisure.white

leisure.white
idea

idea
local.knn.cv

Local k-nearest neighbor method for label ranking.
song

song
breasttissue

breasttissue
ahp

The Analytic hierarchy process (AHP)
big4

big4