{ "_id": "6a1e764a1d7bb097a0a63d24", "Package": "catviz", "Title": "Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs", "Version": "0.1.1", "Authors@R": "person(\"Victor\", \"Kilanko\", email = \"victorkilanko@gmail.com\", role = c(\"aut\", \"cre\"))", "Description": "Tools for constructing, labeling, and visualizing Causal\nAssignment Trees (CATs) in settings with staggered adoption.\nSupports Callaway and Sant'Anna difference-in-differences\n(CSDiD) and doubly robust difference-in-difference-differences\n(DR-DDD) designs. The package helps clarify treatment timing,\nnever-treated vs. not-yet-treated composition, and subgroup\nstructure, and produces publication-quality diagrams and\nsummary tables. Current functionality focuses on data-to-node\nmapping, node counts, cohort-year summaries, and high-quality\ntree plots suitable for empirical applications prior to\nestimation. Methods are based on Callaway and Sant'Anna (2021)\n, Sant'Anna and Zhao (2020)\n, and Kilanko (2026)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/VictorKilanko/catviz", "BugReports": "https://github.com/VictorKilanko/catviz/issues", "Encoding": "UTF-8", "Config/testthat/edition": "3", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 06:17:51 UTC", "User": "root" }, "Author": "Victor Kilanko [aut, cre]", "Maintainer": "Victor Kilanko ", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://victorkilanko.r-universe.dev", "Date/Publication": "2026-04-01 09:40:11 UTC", "RemoteUrl": "https://github.com/cran/catviz", "RemoteRef": "HEAD", "RemoteSha": "2d612d05d06445abb398c475bc4cd161a1b47168", "MD5sum": "994b6b2d56cab9c0dd3e3317e9961665", "_user": "victorkilanko", "_type": "src", "_file": "catviz_0.1.1.tar.gz", "_fileid": "3f378ddb0a8a632ee62b13b46356937769d7645b9a4ef6728d81d9dab900bc75", "_filesize": 149563, "_sha256": 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"Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "tidyr", "role": "Imports" }, { "package": "purrr", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "grid", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "cran", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-14", "n": 1 } ], "_tags": [ { "name": "0.1.1", "date": "2026-04-01" } ], "_stars": 0, "_contributors": [ { "user": "victorkilanko", "count": 1, "uuid": 52762560 } ], "_userbio": { "uuid": 52762560, "type": "user", "name": "Victor Kilanko", "description": "Causal Inference | Machine Learning | Data Science | Public Policy" }, "_downloads": { "count": 432, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/catviz" }, "_devurl": "https://github.com/victorkilanko/catviz", "_searchresults": 0, "_rbuild": "4.6.0", 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differences across CAT nodes or design groups", "topics": [ "cat_balance_table" ] }, { "page": "cat_counts", "title": "Count observations or units per node", "topics": [ "cat_counts" ] }, { "page": "cat_design_csdid", "title": "Blueprint for Callaway-Sant'Anna DiD Tree (Staggered Adoption)", "topics": [ "cat_design_csdid" ] }, { "page": "cat_design_ddd", "title": "Blueprint for Difference-in-Difference-in-Differences Tree", "topics": [ "cat_design_ddd" ] }, { "page": "cat_design_did", "title": "Blueprint for 2x2 Difference-in-Differences Tree", "topics": [ "cat_design_did" ] }, { "page": "cat_diag", "title": "General diagnostic helper for CAT specifications", "topics": [ "cat_diag" ] }, { "page": "cat_event_table", "title": "Count treated and control observations by event time", "topics": [ "cat_event_table" ] }, { "page": "cat_label", "title": "Label CAT nodes with cohort letters and canonical g labels", "topics": [ "cat_label" ] }, { "page": "cat_plot_csdid", "title": "Plot CSDiD Causal Assignment Tree (IMPROVED - No Cut-offs)", "topics": [ "cat_plot_csdid" ] }, { "page": "cat_plot_ddd", "title": "Plot DDD-style Causal Assignment Tree (cohorts x subgroup) - IMPROVED VERSION", "topics": [ "cat_plot_ddd" ] }, { "page": "cat_plot_did", "title": "Plot 2x2 DID Causal Assignment Tree (IMPROVED - No Cut-offs)", "topics": [ "cat_plot_did" ] }, { "page": "cat_plot_tree", "title": "Plot a Causal Assignment Tree (unified interface)", "topics": [ "cat_plot_tree" ] }, { "page": "cat_pt_csdid", "title": "CSDiD parallel-gaps diagnostic", "topics": [ "cat_pt_csdid" ] }, { "page": "cat_pt_drddd", "title": "DR-DDD pretrend diagnostic: subgroup means in pre-periods", "topics": [ "cat_pt_drddd" ] }, { "page": "cat_save_png", "title": "Save a CAT ggplot as a high-quality PNG", "topics": [ "cat_save_png" ] }, { "page": "cat_spec", "title": "Build a Causal Assignment Tree specification", "topics": [ "cat_spec" ] }, { "page": "generate_cohort_labels", "title": "Generate cohort labels 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