# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "lingamr" in publications use:'
type: software
license: MIT
title: 'lingamr: ''LiNGAM'' Algorithms for Causal Discovery'
version: 0.1.2
abstract: 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>.
authors:
- family-names: Morimoto
  given-names: Osamu
  email: galactic.supermarket@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/morimotoosamu/lingamr
commit: 8f19e3f11d8d02f81ee385bbc27735bbdbc74a58
url: https://morimotoosamu.github.io/lingamr/
date-released: '2026-07-17'
contact:
- family-names: Morimoto
  given-names: Osamu
  email: galactic.supermarket@gmail.com