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.
| Version: | 0.4.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, dplyr, ggplot2, rlang, stats, tibble |
| Suggests: | DIDmultiplegtDYN, polars, PanelMatch, fect, fixest, haven, knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr, withr |
| Published: | 2026-06-23 |
| DOI: | 10.32614/CRAN.package.nonabsdid |
| Author: | Takuma Iwasaki |
| Maintainer: | Takuma Iwasaki <iwasakit at stanford.edu> |
| BugReports: | https://github.com/takuma1102/nonabsdid/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/takuma1102/nonabsdid, https://takuma1102.github.io/nonabsdid/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://rpolars.r-universe.dev |
| Citation: | nonabsdid citation info |
| Materials: | README, NEWS |
| CRAN checks: | nonabsdid results |
| Reference manual: | nonabsdid.html , nonabsdid.pdf |
| Vignettes: |
Cohort-by-time effect matrices and heatmaps (source, R code) Getting started with nonabsdid (source, R code) nonabsdid for Stata users (source, R code) |
| Package source: | nonabsdid_0.4.1.tar.gz |
| Windows binaries: | r-devel: nonabsdid_0.4.1.zip, r-release: nonabsdid_0.3.2.zip, r-oldrel: nonabsdid_0.4.1.zip |
| macOS binaries: | r-release (arm64): nonabsdid_0.4.1.tgz, r-oldrel (arm64): nonabsdid_0.4.1.tgz, r-release (x86_64): nonabsdid_0.4.1.tgz, r-oldrel (x86_64): nonabsdid_0.4.1.tgz |
| Old sources: | nonabsdid archive |
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