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lingamr

0.1.2

'LiNGAM' Algorithms for Causal Discovery

0packages depend
287downloads / year
83.6%test coverage
13/13checks pass

Overview

About
Maintained by Osamu MorimotoFirst published 2026-07-171 releasesCRAN page ↗GitHub ↗

R implementation of 'LiNGAM' (Linear Non-Gaussian Acyclic Model) algorithms for causal discovery, following Shimizu et al. (2011) https://www.jmlr.org/papers/v12/shimizu11a.html. Based on the 'Python' implementation by Ikeuchi et al. (2023) https://github.com/cdt15/lingam. The 'VAR-LiNGAM' residual diagnostics are inspired by the 'VARLiNGAM' R code of Moneta et al. https://sites.google.com/site/dorisentner/publications/VARLiNGAM.

Install

Health

CRAN checks
13OK
Slowest check: 11.9 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.29
83.6%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-18
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 492 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
92%
Documented parameters
100%
Return-value docs
98%
References docs
6%

Downloads

287
CRAN downloads in the past year
Rank #24,293 · ~1/day · ~24/mo
Daily download trend is not available in this view yet.
26430 days
28790 days
2871 year
Compare downloads with other packages →
Also on4 r2u

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-08-02

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/morimotoosamu/lingamr on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-06-01

claude

Most recent: claude on 2026-06-01

Evidence
  • claude: on or before 2026-06-01 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (5)
genericsgrDevicesparallelstatsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (6)
Author, Maintainer, Copyright holder
Copyright holder
Copyright holder
Copyright holder
Copyright holder
Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.2Latest
    2026-07-17 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-17
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
1.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lingamr")
Morimoto, O., Haraoka, G., Ide, M., Ikeuchi, T., Kurebayashi, W., & Shimizu, S. (2026). lingamr: 'LiNGAM' Algorithms for Causal Discovery (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.lingamr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 lingamr version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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