R Observatory: Metrics for nonabsdid version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nonabsdid

0.4.1

Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments

0packages depend

616downloads / year

77.0%test coverage

13/13checks pass

Overview

About

Maintained by Takuma IwasakiFirst published 2026-06-182 releasesCRAN page ↗GitHub ↗

Runs several heterogeneity-robust difference-in-differences (DID) event-study estimators for non-absorbing (i.e., treatment can switch on and off over time, allowing treatment reversal) binary treatments through their respective packages, harmonizes their output onto a common time axis and tidy data structure, and overlays them in a single 'ggplot2' panel for visual comparison. Supported estimators include those provided by 'DIDmultiplegtDYN', 'PanelMatch', and 'fect', with an optional naive two-way fixed-effects reference series via 'fixest'. The underlying methods are respectively described in Clement de Chaisemartin and Xavier D'Haultfoeuille. "Difference-in-Differences Estimators of Intertemporal Treatment Effects." The Review of Economics and Statistics (2026) doi:10.1162/rest_a_01414, Kosuke Imai, In Song Kim, and Erik H. Wang. "Matching methods for causal inference with time‐series cross‐sectional data." American Journal of Political Science 67.3 (2023) doi:10.1111/ajps.12685, Licheng Liu, Ye Wang, and Yiqing Xu. "A practical guide to counterfactual estimators for causal inference with time‐series cross‐sectional data." American Journal of Political Science 68.1 (2024) doi:10.1111/ajps.12723, and Laurent R. Bergé, Kyle Butts, and Grant McDermott. "Fast and user-friendly econometrics estimations: The R package 'fixest'." arXiv preprint (2026) doi:10.48550/arXiv.2601.21749. A single nabs_event_study() wrapper runs any supported estimator with a common interface; nabs_event_study_simple() provides a one-line front door for quick exploratory runs; the S3 generic as_nabs_event_study() coerces estimator output into a tidy stable schema; and nabs_event_plot() overlays multiple methods on a single 'ggplot2' panel, with optional naive two-way fixed effects drawn in a neutral color as a reference.

Install

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

install.packages("nonabsdid", 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("takuma1102/nonabsdid")

Development version from takuma1102/nonabsdid. 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-nonabsdid

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-nonabsdid

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-nonabsdid

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 21.9 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.39

77.0%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-19
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 1,301 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 75%
Return-value docs: 100%
References docs: 0%

Downloads

616

CRAN downloads in the past year

Rank #17,437 · ~2/day · ~51/mo

Releases R versions

Daily download trend is not available in this view yet.

16930 days

61690 days

6161 year

Compare downloads with other packages →

Also on14 r2u

Repository

GitHub ↗ takuma1102/nonabsdid

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-07-07

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/takuma1102/nonabsdid on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

Lint, format, editor (1)

lintr

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (6)

cli dplyr ggplot2 rlangstatstibble

LinkingTo (0)

none

Suggests (11)

DIDmultiplegtDYN polars PanelMatch fect fixest haven knitr rmarkdown testthat vdiffr withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Takuma Iwasaki

Author, Maintainer

Authors (1)

Takuma Iwasaki

Author, Maintainer

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

0.4.1Latest
2026-06-23 · current release · diff ↗
0.3.2
2026-06-18
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-18
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Additional repositories: rpolars.r-universe.dev
Minimum R: ≥ 4.1.0
Download size: 1.2 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nonabsdid")

Format

Iwasaki, T. (2026). nonabsdid: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments (Version 0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.nonabsdid

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 nonabsdid version 0.4.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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