Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments // 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 timeseries crosssectional 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 timeseries crosssectional data." American Journal of Political Science 68.1 (2024) doi:10.1111/ajps.12723, and Laurent R. Berg, 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.