Staggered DiD Tools: Event Studies and ATT Aggregation R package fixes version 0.12.0 Provides tools for difference-in-differences (DiD) estimation and visualization with staggered adoption. Includes run_es() for event-study curves (dynamic effects by relative time) and calc_att() for aggregated ATT estimation (overall, by cohort, by calendar time). Supports multiple modern estimators: Callaway-Sant'Anna (2021), Sun-Abraham (2021), Borusyak-Jaravel-Spiess (2024), Wooldridge TWM, and Deb et al. FLEX. Software Depends: R (>= 4.1.0) Imports: dplyr, ggplot2, fixest, broom, tibble, rlang, Rcpp, scales, parallel LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, haven, testthat, plotly, tidyr, did, didimputation, modelsummary, tinytable, lpSolveAPI, Rglpk, TruncatedNormal, Matrix, pracma, HonestDiD Yosuke Abe <yosuke.abe0507@gmail.com> Comprehensive R Archive Network (CRAN) Yosuke Abe [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=fixes/LICENSE) 2026-07-04 application/tgz https://CRAN.R-project.org/package=fixes doi:10.32614/CRAN.package.fixes