<?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>victorkilanko.r-universe.dev</title><link>https://victorkilanko.r-universe.dev</link><description>Recent package updates in victorkilanko</description><generator>R-universe</generator><image><url>https://github.com/victorkilanko.png</url><title>R packages by victorkilanko</title><link>https://victorkilanko.r-universe.dev</link></image><lastBuildDate>Wed, 01 Apr 2026 09:40:11 GMT</lastBuildDate><item><title>[victorkilanko] catviz 0.1.1</title><author>victorkilanko@gmail.com (Victor Kilanko)</author><description>Tools for constructing, labeling, and visualizing Causal
Assignment Trees (CATs) in settings with staggered adoption.
Supports Callaway and Sant'Anna difference-in-differences
(CSDiD) and doubly robust difference-in-difference-differences
(DR-DDD) designs. The package helps clarify treatment timing,
never-treated vs. not-yet-treated composition, and subgroup
structure, and produces publication-quality diagrams and
summary tables. Current functionality focuses on data-to-node
mapping, node counts, cohort-year summaries, and high-quality
tree plots suitable for empirical applications prior to
estimation. Methods are based on Callaway and Sant'Anna (2021)
&lt;doi:10.1016/j.jeconom.2020.12.001&gt;, Sant'Anna and Zhao (2020)
&lt;doi:10.1016/j.jeconom.2020.06.003&gt;, and Kilanko (2026)
&lt;https://github.com/VictorKilanko/catviz&gt;.</description><link>https://github.com/r-universe/victorkilanko/actions/runs/26751392368</link><pubDate>Wed, 01 Apr 2026 09:40:11 GMT</pubDate><r:package>catviz</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://victorkilanko.r-universe.dev</r:repository><r:upstream>https://github.com/cran/catviz</r:upstream></item></channel></rss>