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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>.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | generics, grDevices, parallel, stats, utils |
| Suggests: | DiagrammeR, ggplot2, glmnet, igraph, knitr, lavaan, mice, nortest, pcalg, rmarkdown, spelling, testthat (≥ 3.0.0), tseries |
| Published: | 2026-07-17 |
| DOI: | 10.32614/CRAN.package.lingamr |
| Author: | Osamu Morimoto [aut, cre, cph], T. Ikeuchi [cph], G. Haraoka [cph], M. Ide [cph], W. Kurebayashi [cph], S. Shimizu [cph] |
| Maintainer: | Osamu Morimoto <galactic.supermarket at gmail.com> |
| BugReports: | https://github.com/morimotoosamu/lingamr/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/morimotoosamu/lingamr, https://morimotoosamu.github.io/lingamr/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | lingamr results |
| Reference manual: | lingamr.html , lingamr.pdf |
| Vignettes: |
Causal Discovery with lingamr (source, R code) |
| Package source: | lingamr_0.1.2.tar.gz |
| Windows binaries: | r-devel: lingamr_0.1.2.zip, r-release: lingamr_0.1.2.zip, r-oldrel: lingamr_0.1.2.zip |
| macOS binaries: | r-release (arm64): lingamr_0.1.2.tgz, r-oldrel (arm64): lingamr_0.1.2.tgz, r-release (x86_64): lingamr_0.1.2.tgz, r-oldrel (x86_64): lingamr_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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