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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: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causaljudgment to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.