{ "_id": "6ad603c75a02066177b9acac", "Package": "leakyIV", "Title": "Leaky Instrumental Variables", "Version": "0.0.1", "Date": "2024-04-09", "Authors@R": "person(given = 'David S.',\nfamily = 'Watson',\nrole = c('aut', 'cre', 'cph'),\nemail = 'david.s.watson11@gmail.com',\ncomment = c(ORCID = '0000-0001-9632-2159'))", "Maintainer": "David S. Watson ", "Description": "Instrumental variables (IVs) are a popular and powerful\ntool for estimating causal effects in the presence of\nunobserved confounding. However, classical methods rely on\nstrong assumptions such as the exclusion criterion, which\nstates that instrumental effects must be entirely mediated by\ntreatments. In the so-called \"leaky\" IV setting, candidate\ninstruments are allowed to have some direct influence on\noutcomes, rendering the average treatment effect (ATE)\nunidentifiable. But with limits on the amount of information\nleakage, we may still recover sharp bounds on the ATE,\nproviding partial identification. This package implements\nmethods for ATE bounding in the leaky IV setting with linear\nstructural equations. For details, see Watson et al. (2024)\n.", "License": "GPL (>= 3)", "URL": "https://github.com/dswatson/leakyIV", "BugReports": "https://github.com/dswatson/leakyIV/issues", "Encoding": "UTF-8", "RoxygenNote": "7.3.1", "Repository": "https://dswatson.r-universe.dev", "Date/Publication": "2024-05-15 14:00:29 UTC", "RemoteUrl": "https://github.com/dswatson/leakyiv", "RemoteRef": "HEAD", "RemoteSha": "bfab1c0e42717950a14693b878ffda25c12b3da9", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-19 11:42:44 UTC", "User": "root" }, "Author": "David S. 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