catviz: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs

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>.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	dplyr, ggplot2, glue, tidyr, purrr, tibble, grid, rlang
Suggests:	testthat (≥ 3.0.0)
Published:	2026-04-01
DOI:	10.32614/CRAN.package.catviz
Author:	Victor Kilanko [aut, cre]
Maintainer:	Victor Kilanko <victorkilanko at gmail.com>
BugReports:	https://github.com/VictorKilanko/catviz/issues
License:	MIT + file LICENSE
URL:	https://github.com/VictorKilanko/catviz
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	catviz results

Documentation:

Reference manual:

catviz.html , catviz.pdf

Downloads:

Package source:	catviz_0.1.1.tar.gz
Windows binaries:	r-devel: catviz_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): catviz_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): catviz_0.1.1.tgz, r-oldrel (x86_64): catviz_0.1.1.tgz

Linking:

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