Package: HonestDiD
Type: Package
Title: Robust inference in difference-in-differences and event study
        designs
Version: 0.2.0
Depends: CVXR (>= 0.99-6), doParallel (>= 1.0.15), foreach (>= 1.4.7),
        latex2exp (>= 0.4.0), lpSolveAPI (>= 5.5.2.0-17), Matrix (>=
        1.2-17), pracma (>= 2.2.5), purrr (>= 0.3.4), ROI (>= 0.3-2),
        tidyverse (>= 1.2.1), TruncatedNormal (>= 1.0), R (>= 3.6.0)
Imports:
Author: Ashesh Rambachan
Maintainer: Ashesh Rambachan <asheshr@g.harvard.edu>
Description: 
    This package provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2021). 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. See Ashesh Rambachan & Jonathan Roth, "An Honest Approach to Parallel Trends", 2021 for details on the methods.
License: GPL-3
Encoding: UTF-8
LazyData: true
RemoteType: github
RemoteHost: api.github.com
RemoteRepo: HonestDiD
RemoteUsername: asheshrambachan
RemoteRef: HEAD
RemoteSha: 9677595c1802ebe68769a24bb6e4e3fc8edbebd4
GithubRepo: HonestDiD
GithubUsername: asheshrambachan
GithubRef: HEAD
GithubSHA1: 9677595c1802ebe68769a24bb6e4e3fc8edbebd4
NeedsCompilation: no
Packaged: 2022-02-06 01:20:08 UTC; damian
Built: R 3.6.3; ; 2022-02-06 01:20:09 UTC; unix
