Triple-Difference Estimators R package triplediff version 0.2.4 Implements triple-difference (DDD) estimators for both average treatment effects and event-study parameters. Methods include regression adjustment, inverse-probability weighting, and doubly-robust estimators, all of which rely on a conditional DDD parallel-trends assumption and allow covariate adjustment across multiple pre- and post-treatment periods. The methodology is detailed in Ortiz-Villavicencio and Sant'Anna (2025) <doi:10.48550/arXiv.2505.09942>. Software Depends: R (>= 4.3) Imports: BMisc (>= 1.4.9), data.table (>= 1.15.0), fastglm (>= 0.0.3), Matrix (>= 1.6.1), parallel (>= 1.4.0), Rcpp (>= 1.0.12) LinkingTo: Rcpp (>= 1.0.12) Suggests: testthat (>= 3.0.0) Marcelo Ortiz-Villavicencio <marcelo.ortiz@emory.edu> Comprehensive R Archive Network (CRAN) Marcelo Ortiz-Villavicencio [aut, cre], Pedro H. C. Sant'Anna [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=triplediff/LICENSE) 2026-06-13 application/tgz https://CRAN.R-project.org/package=triplediff doi:10.32614/CRAN.package.triplediff