R Observatory: Metrics for nonabsdid version 0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nonabsdid

0.4.1Package record

Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments

0packages depend

1.4Kdownloads / year

77.0%test coverage

13/13flavors OK

Overview

About

Maintained by Takuma IwasakiCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 0.4.1

Sped up PanelMatch and the fect family (IFE / MC) on large panels.
Made estimators more robust on large, real-world panels.
Added a pkgdown website.
Added a cohort-based heatmap function.
Added Stata interoperability.

From NEWS.md in the release

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. 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-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). 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: 21.9 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-06-19

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.1

READMEYes · 1,301 wordsVignettesYes · 3 · dynamicNEWSYes · 67% structured · mentions 0.4.1Citation fileYes · computed when R runs itWebsiteYes · pkgdown

Help pages: 12 (1 internal)includes a package overview page
Examples that run: 100%11 run in a plain check (6 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 75%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (3)

How these are measured

Downloads

1.4K

CRAN downloads in the past year

Rank #12,754 · ~4/day · ~113/mo

Releases R versions

Daily download trend is not available in this view yet.

36030 days

88590 days

1.4K1 year

Compare downloads with other packages →

Also on22 r2u4 autocran

How downloads are counted

Repository

takuma1102/nonabsdid ↗Account: takuma1102

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-07-07 · Default branch at 0.4.1.9000, ahead of CRAN 0.4.1 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: not measured

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/takuma1102/nonabsdid on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

Code of conductContributing guide

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-07-07 · The repository has a site deploy workflow

pkgdown site last built 2026-07-07

Reproducibility and dev environment (1)

data-raw/

Show all practicesHide 1 practice

Lint, format, editor (1)

lintr

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing nonabsdid adds 25 packages (12 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

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.

How these are counted

Code & Tests

People & History

People (1)

Takuma Iwasaki

Author, Maintainer since 0.3.2 (2026)

Releases (2)

Pick two releases to compare their code metrics.

0.4.1Latest
record
2026-06-23 · current release · diff ↗ ·
added 6 exports
aggregate_effects, as_nabs_effect_cells, nabs_effect_cells, nabs_read_dta, nabs_write_dta, plot_effect_matrix
0.3.2
record
first seen 2026-06-18
R
R 4.6.0 released · 2026-04-24

Package metadata

First seen: 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nonabsdid")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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