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ordinalbayes

0.1.2Package record

Bayesian Ordinal Regression for High-Dimensional Data

0packages depend
2.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides a function for fitting various penalized Bayesian cumulative link ordinal response models when the number of parameters exceeds the sample size. These models have been described in Zhang and Archer (2021) doi:10.1186/s12859-021-04432-w.

Install

Health

CRAN checks
13OK
Slowest check: 11.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-10
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-05-03
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 82 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
14%1 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.8K
CRAN downloads in the past year
Rank #16,950 · ~8/day · ~233/mo
Daily download trend is not available in this view yet.
25230 days
75290 days
2.8K1 year
Compare downloads with other packages →
Also on120 r2u

Repository

1Stars
1Forks
1Open issues
0Open PRs
0Releases
12Commits
1Commit identities
12 commits · Last activity 2022-04-19 · 0% stars, 30d · The default branch showed an older version (0.1.1) than CRAN on 2026-10-21
Responsiveness
not measured

Stars over time

2022-04-07 · 12026-07-07 · 1
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/kelliejarcher/ordinalbayes on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing ordinalbayes adds 52 packages (24 with compiled code, 46 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, loo 2.7 MB. 2 more not on CRAN are not measured.

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

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2022)
Contributor
Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    record
    2025-04-30 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    record
    2022-04-06 · diff ↗
  • 0.1.0
    record
    2022-03-11
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-11
Total releases
3 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Bundled data
4.0 MB / 3 files
Download size
4.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ordinalbayes")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 ordinalbayes version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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