Package: HonestDiD
Type: Package
Title: Robust Inference in Difference-in-Differences and Event Study
        Designs
Version: 0.2.8
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
Authors@R: 
    c(person(given = "Ashesh",
             family = "Rambachan",
             role = c("aut", "cph", "cre"),
             email = "ashesh.a.rambachan@gmail.com"),
      person(given = "Jonathan",
             family = "Roth",
             role = c("aut", "cph"),
             email = "jonathan_roth@brown.edu"))
Description: 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.
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
Config/pak/sysreqs: cmake libglpk-dev libgmp3-dev make pkg-config
        libclang-dev
Repository: https://asheshrambachan.r-universe.dev
Date/Publication: 2026-04-12 02:26:29 UTC
RemoteUrl: https://github.com/asheshrambachan/honestdid
RemoteRef: HEAD
RemoteSha: 6813f02ed38f0b63bdca6915604b2eac90491303
NeedsCompilation: no
Packaged: 2026-06-11 10:58:32 UTC; root
Author: Ashesh Rambachan [aut, cph, cre],
  Jonathan Roth [aut, cph]
Maintainer: Ashesh Rambachan <ashesh.a.rambachan@gmail.com>