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license: MIT
title: 'causaljudgment: Computational Models of Causal Judgment'
version: 0.1.0
doi: 10.32614/CRAN.package.causaljudgment
abstract: Provides computational implementations of models of causal judgment, including
  the Counterfactual Effect Size (CES) model of Quillien and Lucas (2023) <https://doi.org/10.1037/rev0000428>
  and the Necessity-Sufficiency (NS) model of Icard, Kominsky and Knobe (2017) <https://doi.org/10.1016/j.cognition.2017.01.010>.
  The package represents causal structures as binary Structural Causal Models and
  analytically computes causal judgments from counterfactual probability distributions.
authors:
- family-names: Quillien
  given-names: Tadeg
  email: tadeg.quillien@gmail.com
repository: https://tadegquillien.r-universe.dev
repository-code: https://github.com/tadegquillien/causaljudgment
commit: 4aa169c2253b4e8837db3ed886a63098ac776560
url: https://tadegquillien.github.io/causaljudgment/
date-released: '2026-09-08'
contact:
- family-names: Quillien
  given-names: Tadeg
  email: tadeg.quillien@gmail.com