{ "_id": "6a10399dacfb0bcc41c9af1b", "Package": "HonestDiD", "Type": "Package", "Title": "Robust Inference in Difference-in-Differences and Event Study\nDesigns", "Version": "0.2.8", "Authors@R": "c(person(given = \"Ashesh\",\nfamily = \"Rambachan\",\nrole = c(\"aut\", \"cph\", \"cre\"),\nemail = \"ashesh.a.rambachan@gmail.com\"),\nperson(given = \"Jonathan\",\nfamily = \"Roth\",\nrole = c(\"aut\", \"cph\"),\nemail = \"jonathan_roth@brown.edu\"))", "Description": "Provides functions to conduct robust inference in\ndifference-in-differences and event study designs by\nimplementing the methods developed in Rambachan & Roth (2023)\n, \"A More Credible Approach to\nParallel Trends\" [Previously titled \"An Honest Approach...\"].\nInference is conducted under a weaker version of the parallel\ntrends assumption. Uniformly valid confidence sets are\nconstructed based upon conditional confidence sets,\nfixed-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\nlibclang-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": { "Date": "2026-05-12 05:31:55 UTC", "User": "root" }, "Author": "Ashesh Rambachan [aut, cph, cre],\nJonathan Roth [aut, cph]", "Maintainer": "Ashesh Rambachan ", "MD5sum": "5af2ccf730049d3460d3418f8ba138bd", "_user": "asheshrambachan", "_type": "src", "_file": "HonestDiD_0.2.8.tar.gz", "_fileid": "08bc0d3ecbabb8e26361005fee6872e7ba52c9944b67edf8dfced9d72f94d648", "_filesize": 842347, "_sha256": 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