Package: fixes 1.0.0

fixes: Event Studies and Inference for Difference-in-Differences

Provides tools for event-study analysis and inference in difference-in-differences (DiD) designs with panel data, from the classic two-way fixed-effects (TWFE) event study to estimators for staggered adoption. Includes event_study() for event-study curves (dynamic effects by relative time), att() for aggregated ATT estimation (overall, by cohort, by calendar time), did() for basic two-way fixed-effects DiD, and honest_sensitivity() for sensitivity analysis under violations of parallel trends (Rambachan and Roth, 2023), all running on an internal C++ fixed-effects OLS engine. Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX. Results plot via base plot() methods.

Authors:Yosuke Abe [aut, cre]