'LiNGAM' Algorithms for Causal Discovery R package lingamr version 0.1.2 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>. Software 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 Osamu Morimoto <galactic.supermarket@gmail.com> Comprehensive R Archive Network (CRAN) Osamu Morimoto [aut, cre, cph], T. Ikeuchi [cph], G. Haraoka [cph], M. Ide [cph], W. Kurebayashi [cph], S. Shimizu [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=lingamr/LICENSE) 2026-07-17 application/tgz https://CRAN.R-project.org/package=lingamr doi:10.32614/CRAN.package.lingamr en-US