DESCRIPTION

Package: HonestDiD
Type: Package
Title: Robust Inference in Difference-in-Differences and Event Study Designs
Version: 0.2.5
Depends:
    R (>= 3.6.0)
Imports:
    stats,
    rlang,
    foreach (>= 1.4.7),
    matrixStats (>= 0.63.0),
    CVXR (>= 0.99-6),
    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,
    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, RESTUD), "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
VignetteBuilder:
    knitr
License: MIT + file LICENSE