# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "catviz" in publications use:' type: software license: MIT title: 'catviz: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs' version: 0.1.1 doi: 10.32614/CRAN.package.catviz abstract: 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) , Sant'Anna and Zhao (2020) , and Kilanko (2026) . authors: - family-names: Kilanko given-names: Victor email: victorkilanko@gmail.com repository: https://victorkilanko.r-universe.dev repository-code: https://github.com/VictorKilanko/catviz commit: 2d612d05d06445abb398c475bc4cd161a1b47168 url: https://github.com/VictorKilanko/catviz date-released: '2026-04-01' contact: - family-names: Kilanko given-names: Victor email: victorkilanko@gmail.com