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catviz  

Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs
View on CRAN: Click here


Download and install catviz package within the R console
Install from CRAN:
install.packages("catviz")

Install from Github:
library("remotes")
install_github("cran/catviz")

Install by package version:
library("remotes")
install_version("catviz", "0.1.1")



Attach the package and use:
library("catviz")
Maintained by
Victor Kilanko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-01
Latest Update: 2026-04-01
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) <doi:10.1016/j.jeconom.2020.12.001>, Sant'Anna and Zhao (2020) <doi:10.1016/j.jeconom.2020.06.003>, and Kilanko (2026) <https://github.com/VictorKilanko/catviz>.
How to cite:
Victor Kilanko (2026). catviz: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs. R package version 0.1.1, https://cran.r-project.org/web/packages/catviz. Accessed 30 Jun. 2026.
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