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rankrate

1.2.1Package record

Joint Statistical Models for Preference Learning with Rankings and Ratings

0packages depend
2.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Statistical tools for the Mallows-Binomial model, the first joint statistical model for preference learning for rankings and ratings. This project was supported by the National Science Foundation under Grant No. 2019901.

Changes in 1.2.1
  • Minor fixes to package vignettes to meet CRAN policy.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.1
READMEYes · 74 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.2.1Citation fileNoWebsiteYes · pkgdown
Help pages
18
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (2)

Downloads

2.6K
CRAN downloads in the past year
Rank #17,931 · ~7/day · ~215/mo
Daily download trend is not available in this view yet.
28230 days
70890 days
2.6K1 year
Compare downloads with other packages →
Also on68 r2u14 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2025-03-26
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/pearce790/rankrate on 2026-10-11.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2025-03-26 · The repository has a site deploy workflow

pkgdown site last built 2025-03-26

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing rankrate adds 3 packages (2 with compiled code, 583 KB of source tarballs). Heaviest: isotone 336 KB, gtools 236 KB, nnls 11 KB.

Depends (0)
none
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2022), Copyright holder
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.2.1Latest
    record
    2025-03-26 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.0
    record
    2023-08-17 · diff ↗ ·
    removed 5 exports
    ASTAR_LP, phat_conditional, theta_conditional, totalcostheuristic_MB, totalcostheuristic_MB_LP
    added 1 export
    to_rankings
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    record
    2022-06-09
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-06-09
Total releases
3 / 4 yrs
License
GPL-3 OSI
Bundled data
1.2 KB / 4 files
Download size
199 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rankrate")
Pearce, M. (2025). rankrate: Joint Statistical Models for Preference Learning with Rankings and Ratings (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.rankrate

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rankrate version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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