<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>tadegquillien.r-universe.dev</title><link>https://tadegquillien.r-universe.dev</link><description>Recent package updates in tadegquillien</description><generator>R-universe</generator><image><url>https://github.com/tadegquillien.png</url><title>R packages by tadegquillien</title><link>https://tadegquillien.r-universe.dev</link></image><lastBuildDate>Sat, 10 Oct 2026 17:34:12 GMT</lastBuildDate><item><title>[tadegquillien] causaljudgment 0.1.0</title><author>tadeg.quillien@gmail.com (Tadeg Quillien)</author><description>Provides computational implementations of models of causal
judgment, including the Counterfactual Effect Size (CES) model
of Quillien and Lucas (2023) &lt;doi:10.1037/rev0000428&gt; and the
Necessity-Sufficiency (NS) model of Icard, Kominsky and Knobe
(2017) &lt;doi:10.1016/j.cognition.2017.01.010&gt;. The package
represents causal structures as binary Structural Causal Models
and analytically computes causal judgments from counterfactual
probability distributions.</description><link>https://github.com/r-universe/tadegquillien/actions/runs/38077870348</link><pubDate>Sat, 10 Oct 2026 17:34:12 GMT</pubDate><r:package>causaljudgment</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://tadegquillien.r-universe.dev</r:repository><r:upstream>https://github.com/tadegquillien/causaljudgment</r:upstream><r:article><r:source>background.Rmd</r:source><r:filename>background.html</r:filename><r:title>Background</r:title><r:created>2026-09-03 14:36:16</r:created><r:modified>2026-09-07 15:06:43</r:modified></r:article><r:article><r:source>examples.Rmd</r:source><r:filename>examples.html</r:filename><r:title>Examples</r:title><r:created>2026-09-03 14:36:16</r:created><r:modified>2026-09-07 15:06:43</r:modified></r:article></item></channel></rss>