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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "gadjid" in publications use:'
type: software
license: MPL-1.0
title: 'gadjid: Graph Adjustment Identification Distances for Causal Graphs'
version: 0.1.0
doi: 10.48550/arXiv.2402.08616
identifiers:
- type: doi
  value: 10.32614/CRAN.package.gadjid
abstract: Make efficient Rust implementations of graph adjustment identification distances
  available in R. These distances (based on ancestor, optimal, and parent adjustment)
  count how often the respective adjustment identification strategy leads to causal
  inferences that are incorrect relative to a ground-truth graph when applied to a
  candidate graph instead. See also Henckel, Würtzen, Weichwald (2024) <https://doi.org/10.48550/arXiv.2402.08616>.
authors:
- family-names: Weichwald
  given-names: Sebastian
  email: sweichwald@math.ku.dk
- family-names: Würtzen
  given-names: Theo
- family-names: Henckel
  given-names: Leonard
preferred-citation:
  type: conference-paper
  title: 'Adjustment Identification Distance: A gadjid for Causal Structure Learning'
  authors:
  - family-names: Henckel
    given-names: Leonard
  - family-names: Würtzen
    given-names: Theo
  - family-names: Weichwald
    given-names: Sebastian
    email: sweichwald@math.ku.dk
  collection-title: Proceedings of the Fortieth Conference on Uncertainty in Artificial
    Intelligence (UAI)
  collection-type: proceedings
  year: '2024'
  doi: 10.48550/arXiv.2402.08616
  conference:
    name: Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence
      (UAI)
repository: https://sweichwald.r-universe.dev
repository-code: https://github.com/CausalDisco/gadjid
commit: 120080672fd996a4d64bf6e1d5aa81294437d824
url: https://github.com/CausalDisco/gadjid
date-released: '2025-08-29'
contact:
- family-names: Weichwald
  given-names: Sebastian
  email: sweichwald@math.ku.dk