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.tar.gz(r-4.5-noble)pmr_1.2.5.1.tar.gz(r-4.4-noble)
pmr_1.2.5.1.tgz(r-4.4-emscripten)pmr_1.2.5.1.tgz(r-4.3-emscripten)
pmr.pdf |pmr.html
pmr/json (API)

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

Peer review:

Datasets:

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

2.28 score 1 packages 64 scripts 736 downloads 1 mentions 13 exports 0 dependencies

Last updated 2 years agofrom:7466888a26. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxNOTEOct 31 2024

Exports:ahpdbmdestatlocal.knnlocal.knn.cvmdprefphicomplrankaggrankplotrinvrolwdbm

Dependencies: