{ "_id": "6a16bfa4acfb0bcc41d879b3", "Package": "powerLATE", "Type": "Package", "Title": "Generalized Power Analysis for LATE", "Version": "0.1.2", "Authors@R": "c(\nperson(\"Kirk\", \"Bansak\", , \"kbansak@ucsd.edu\", c(\"aut\")),\nperson(\"Eddie\", \"Yang\", , \"z5yang@ucsd.edu\", c(\"aut\", \"cre\"))\n)", "Maintainer": "Eddie Yang ", "Description": "An implementation of the generalized power analysis for\nthe local average treatment effect (LATE), proposed by Bansak\n(2020) . Power analysis is in the\ncontext of estimating the LATE (also known as the complier\naverage causal effect, or CACE), with calculations based on a\ntest of the null hypothesis that the LATE equals 0 with a\ntwo-sided alternative. The method uses standardized effect\nsizes to place a conservative bound on the power under minimal\nassumptions. Package allows users to recover power, sample size\nrequirements, or minimum detectable effect sizes. Package also\nallows users to work with absolute effects rather than effect\nsizes, to specify an additional assumption to narrow the\nbounds, and to incorporate covariate adjustment.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.2.1", "URL": "https://github.com/kbansak/powerLATE_tutorial,\nhttps://github.com/kbansak/powerLATE", "BugReports": "https://github.com/kbansak/powerLATE/issues", "Repository": "https://kbansak.r-universe.dev", "Date/Publication": "2024-05-29 15:29:33 UTC", "RemoteUrl": "https://github.com/kbansak/powerlate", "RemoteRef": "HEAD", "RemoteSha": "bc63d0ef39ec5d98a00c8038e8179243c8c011fb", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 09:52:31 UTC", "User": "root" }, "Author": "Kirk Bansak [aut],\nEddie Yang [aut, cre]", "MD5sum": "d847ca8fc9dff5628c5581d7063c019b", "_user": "kbansak", "_type": "src", "_file": "powerLATE_0.1.2.tar.gz", "_fileid": "7cb8d138b055b53f9ede8606c983013131468fd75b963cc1df83a9c39ed00e6f", "_filesize": 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