lingamr: 'LiNGAM' Algorithms for Causal Discovery

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 (may not be active yet)
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

Documentation:

Reference manual:	lingamr.html , lingamr.pdf
Vignettes:	Causal Discovery with lingamr (source, R code)

Downloads:

Package source:	lingamr_0.1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
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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