Robust Inference in Difference-in-Differences and Event Study Designs R package HonestDiD version 0.2.8 Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets. Software Depends: R (>= 3.6.0) Imports: stats, rlang, foreach (>= 1.4.7), matrixStats (>= 0.63.0), CVXR (>= 1.8), ECOSolveR, latex2exp (>= 0.4.0), lpSolveAPI (>= 5.5.2.0-17), Matrix (>= 1.2-17), pracma (>= 2.2.5), purrr (>= 0.3.4), tibble (>= 1.3.4), dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), Rglpk (>= 0.6-4), mvtnorm (>= 1.1-3), TruncatedNormal (>= 1.0) Suggests: knitr, testthat, haven, lfe, rmarkdown Ashesh Rambachan <ashesh.a.rambachan@gmail.com> Comprehensive R Archive Network (CRAN) Ashesh Rambachan [aut, cph, cre], Jonathan Roth [aut, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=HonestDiD/LICENSE) 2026-04-12 application/tgz https://CRAN.R-project.org/package=HonestDiD doi:10.32614/CRAN.package.HonestDiD