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 = '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.

1.48 score 1 packages 453 downloads 1 mentions 13 exports 0 dependencies

Last updated 3 years agofrom:7466888a26. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-linuxNOTEMar 30 2025
R-4.4-linuxNOTEMar 30 2025

Exports:ahpdbmdestatlocal.knnlocal.knn.cvmdprefphicomplrankaggrankplotrinvrolwdbm

Dependencies:

Citation

To cite package ‘pmr’ in publications use:

Lee PH, Yu PLH (2022). pmr: Probability Models for Ranking Data. R package version 1.2.5.1, https://CRAN.R-project.org/package=pmr.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {pmr: Probability Models for Ranking Data},
    author = {Paul H. Lee and Philip L. H. Yu},
    year = {2022},
    note = {R package version 1.2.5.1},
    url = {https://CRAN.R-project.org/package=pmr},
  }