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OrdCD

1.1.2Package record

Ordinal Causal Discovery

0packages depend
2.3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Algorithms for ordinal causal discovery. This package aims to enable users to discover causality for observational ordinal categorical data with greedy and exhaustive search. See Ni, Y., & Mallick, B. (2022) https://proceedings.mlr.press/v180/ni22a/ni22a.pdf "Ordinal Causal Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, (UAI 2022), PMLR 180:1530–1540".

Install

Health

CRAN checks
13OK
Slowest check: 56 s · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.2
READMEYes · 86 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #20,343 · ~6/day · ~190/mo
Daily download trend is not available in this view yet.
28630 days
65690 days
2.3K1 year
Compare downloads with other packages →
Also on67 r2u2 autocran

Repository

2Stars
2Forks
2Open issues
0Open PRs
0Releases
21Commits
2Commit identities
21 commits · Last activity 2023-05-14 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2025-05-20 · 12026-07-07 · 2
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/nystat/ordcd on 2026-10-22.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing OrdCD adds 14 packages (11 with compiled code, 16 MB of source tarballs). Heaviest: igraph 4.8 MB, gRbase 2.6 MB, Rcpp 1.8 MB.

Depends (0)
none
Imports (6)
gRbaseMASSbnlearnigraphstatsMatrix
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0.0 (2022)
Releases (4)

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
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.2Latest
    record
    2023-05-17 · current release · diff ↗ ·
    removed 1 export
    OCD
    added 1 export
    OrdCD
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.1
    record
    2023-02-12 · diff ↗
  • 1.1.0
    record
    2023-01-10 · diff ↗
  • 1.0.0
    record
    2022-09-27
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-27
Total releases
4 / 4 yrs
License
MIT + file LICENSE OSI
Download size
7.9 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("OrdCD")
Ni, Y. (2023). OrdCD: Ordinal Causal Discovery (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.OrdCD

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 OrdCD version 1.1.2 [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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