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Authors and Citation

Authors

  • Osamu Morimoto. Author, maintainer, copyright holder.

  • T. Ikeuchi. Copyright holder.

  • G. Haraoka. Copyright holder.

  • M. Ide. Copyright holder.

  • W. Kurebayashi. Copyright holder.

  • S. Shimizu. Copyright holder.

Citation

Source: inst/CITATION

Morimoto O (2026). lingamr: LiNGAM Algorithms for Causal Discovery. R package version 0.1.2.9000, https://CRAN.R-project.org/package=lingamr. 

@Manual{,
  title = {{lingamr}: LiNGAM Algorithms for Causal Discovery},
  author = {Osamu Morimoto},
  year = {2026},
  note = {R package version 0.1.2.9000},
  url = {https://CRAN.R-project.org/package=lingamr},
}

Shimizu S, Inazumi T, Sogawa Y, Hyvärinen A, Kawahara Y, Washio T, Hoyer P, Bollen K (2011). “DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.” Journal of Machine Learning Research, 12, 1225–1248. https://www.jmlr.org/papers/v12/shimizu11a.html. 

@Article{,
  title = {{DirectLiNGAM}: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model},
  author = {Shohei Shimizu and Takanori Inazumi and Yasuhiro Sogawa and Aapo Hyvärinen and Yoshinobu Kawahara and Takashi Washio and Patrik O. Hoyer and Kenneth Bollen},
  journal = {Journal of Machine Learning Research},
  year = {2011},
  volume = {12},
  pages = {1225--1248},
  url = {https://www.jmlr.org/papers/v12/shimizu11a.html},
}

Ikeuchi T, Ide M, Zeng Y, Maeda T, Shimizu S (2023). “Python package for causal discovery based on LiNGAM.” Journal of Machine Learning Research, 24(14), 1–8. https://www.jmlr.org/papers/v24/21-0321.html. 

@Article{,
  title = {Python package for causal discovery based on {LiNGAM}},
  author = {Takashi Ikeuchi and Mayumi Ide and Yan Zeng and Takashi Nicholas Maeda and Shohei Shimizu},
  journal = {Journal of Machine Learning Research},
  year = {2023},
  volume = {24},
  number = {14},
  pages = {1--8},
  url = {https://www.jmlr.org/papers/v24/21-0321.html},
}