R Observatory: Metrics for catviz version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

catviz

0.1.1Package record

Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs

0packages depend

2.5Kdownloads / year

54.8%test coverage

13/13flavors OK

Overview

About

Maintained by Victor KilankoCRAN page ↗GitHub ↗Issues ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("catviz", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("VictorKilanko/catviz")

Development version from VictorKilanko/catviz. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-catviz

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-catviz

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-catviz

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK7 OK2026-04-02

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 766 wordsVignettesNoNEWSYes · 67% structured · does not mention 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 20 (1 internal)
Examples that run: 95%18 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.5K

CRAN downloads in the past year

Rank #13,440 · ~7/day · ~207/mo

Releases R versions

Daily download trend is not available in this view yet.

27930 days

86590 days

2.5K1 year

Compare downloads with other packages →

Also on48 r2u8 autocran

How downloads are counted

Repository

victorkilanko/catviz ↗Account: VictorKilanko

0Stars

0Forks

1Open issues

0Open PRs

0Releases

Last activity 2026-03-28

Responsiveness

not measured

How these are measured

PracticesBeta

Checks run against github.com/victorkilanko/catviz on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing catviz adds 29 packages (15 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1.0

Imports (8)

dplyr ggplot2 glue tidyr purrr tibblegridrlang

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Victor Kilanko

Author, Maintainer since 0.1.1 (2026)

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
record
2026-04-01 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-04-01
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 25 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("catviz")

Format

Kilanko, V. (2026). catviz: Visualizing Causal Assignment Trees for CSDiD and DR-DDD Designs (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.catviz

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for catviz version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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