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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Visualize Heterogeneity-Robust Event Studies for Non-Absorbing
Treatments</dc:title>
  <dc:title>R package nonabsdid version 0.4.1</dc:title>
  <dc: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) &lt;doi:10.1162/rest_a_01414&gt;,
    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) &lt;doi:10.1111/ajps.12685&gt;,
    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) &lt;doi:10.1111/ajps.12723&gt;, and
    Laurent R. Bergé, Kyle Butts, and Grant McDermott. "Fast and user-friendly econometrics estimations: The R package 'fixest'."
    arXiv preprint (2026) &lt;doi:10.48550/arXiv.2601.21749&gt;.
    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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: cli, dplyr, ggplot2, rlang, stats, tibble</dc:relation>
  <dc:relation>Suggests: DIDmultiplegtDYN, polars, PanelMatch, fect, fixest, haven,
knitr, rmarkdown, testthat (&gt;= 3.0.0), vdiffr, withr</dc:relation>
  <dc:creator>Takuma Iwasaki &lt;iwasakit@stanford.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Takuma Iwasaki [aut, cre] (ORCID:
    &lt;https://orcid.org/0009-0000-8782-4851&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=nonabsdid/LICENSE)</dc:rights>
  <dc:date>2026-06-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=nonabsdid</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.nonabsdid</dc:identifier>
</oai_dc:dc>
