causaljudgment: Computational Models of Causal Judgment

Provides computational implementations of models of causal judgment, including the Counterfactual Effect Size (CES) model of Quillien and Lucas (2023) <doi:10.1037/rev0000428> and the Necessity-Sufficiency (NS) model of Icard, Kominsky and Knobe (2017) <doi: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.

Version: 0.1.0
Imports: dplyr
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-06
DOI: 10.32614/CRAN.package.causaljudgment (may not be active yet)
Author: Tadeg Quillien [aut, cre]
Maintainer: Tadeg Quillien <tadeg.quillien at gmail.com>
BugReports: https://github.com/tadegquillien/causaljudgment/issues
License: MIT + file LICENSE
URL: https://tadegquillien.github.io/causaljudgment/
NeedsCompilation: no
Materials: README
CRAN checks: causaljudgment results

Documentation:

Reference manual: causaljudgment.html , causaljudgment.pdf
Vignettes: Background (source, R code)
Examples (source, R code)

Downloads:

Package source: causaljudgment_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: causaljudgment_0.1.0.zip
macOS binaries: r-release (arm64): causaljudgment_0.1.0.tgz, r-oldrel (arm64): causaljudgment_0.1.0.tgz, r-release (x86_64): causaljudgment_0.1.0.tgz, r-oldrel (x86_64): causaljudgment_0.1.0.tgz

Linking:

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