Package: nonabsdid
Type: Package
Title: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing
        Treatments
Version: 0.4.1.9000
Date: 2026-06-23
Authors@R: c(
    person(given = "Takuma",
           family = "Iwasaki",
           role = c("aut", "cre"),
           email = "iwasakit@stanford.edu",
           comment = c(ORCID = "0009-0000-8782-4851"))
    )
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
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
Config/testthat/edition: 3
URL: https://github.com/takuma1102/nonabsdid,
        https://takuma1102.github.io/nonabsdid/
BugReports: https://github.com/takuma1102/nonabsdid/issues
VignetteBuilder: knitr
Additional_repositories: https://community.r-multiverse.org
Config/roxygen2/version: 8.0.0
Repository: https://takuma1102.r-universe.dev
Date/Publication: 2026-07-07 21:23:51 UTC
RemoteUrl: https://github.com/takuma1102/nonabsdid
RemoteRef: HEAD
RemoteSha: 92af671e0c99d6cc5bbe1eff4c0b813dac473707
NeedsCompilation: no
Packaged: 2026-07-07 22:49:39 UTC; root
Author: Takuma Iwasaki [aut, cre] (ORCID:
    <https://orcid.org/0009-0000-8782-4851>)
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>