Package: pmr 1.2.5.1

Paul H. Lee

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.

Authors:Paul H. Lee and Philip L. H. Yu

pmr_1.2.5.1.tar.gz
pmr_1.2.5.1.zip(r-4.7-any)pmr_1.2.5.1.zip(r-4.6-any)
pmr_1.2.5.1.tar.gz(r-4.7-any)pmr_1.2.5.1.tar.gz(r-4.6-any)
pmr_1.2.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pmr/json (API)

# Install 'pmr' in R:
install.packages('pmr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 436 downloads 1 mentions 13 exports 0 dependencies

Last updated from:7466888a26. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE109
source / vignettesOK135
linux-releaseNOTE115
windows-develNOTE71
windows-releaseNOTE64
wasm-releaseOK100

Exports:ahpdbmdestatlocal.knnlocal.knn.cvmdprefphicomplrankaggrankplotrinvrolwdbm

Dependencies: