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Causal Discovery for Categorical Data with Label Permutation

0packages depend
2.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Discover causality for bivariate categorical data. This package aims to enable users to discover causality for bivariate observational categorical data. See Ni, Y. (2022) arXiv:2209.08579 "Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances in Neural Information Processing Systems 35 (in press)".

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Yang Ni <yni@stat.tamu.edu>’

The Description field contains
  categorical data. See Ni, Y. (2022) <arXiv:2209.08579> "Bivariate
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 46 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2
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

2.4K
CRAN downloads in the past year
Rank #17,898 · ~6/day · ~197/mo
Daily download trend is not available in this view yet.
27330 days
72590 days
2.4K1 year
Compare downloads with other packages →
Also on76 r2u6 autocran

Repository

1Stars
1Forks
0Open issues
0Open PRs
0Releases
7Commits
1Commit identities
7 commits · Last activity 2022-10-04
Responsiveness
not measured

Stars over time

2022-10-02 · 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/nystat/colp on 2026-10-21.

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

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing COLP adds 1 package (0 with compiled code, 9.1 KB of source tarballs). Heaviest: combinat 9.1 KB.

Depends (1)
R >= 3.5.0
Imports (3)
MASScombinatstats
LinkingTo (0)
none
Suggests (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)
Releases (1)
  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0Latest
    2022-09-29 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-29
Total releases
1 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
5.5 KB / 1 file
Download size
8.6 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("COLP")
Ni, Y. (2022). COLP: Causal Discovery for Categorical Data with Label Permutation (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.COLP

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 COLP version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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