{ "_id": "6a192a88acfb0bcc41dcdd1f", "Type": "Package", "Package": "PSAboot", "Title": "Bootstrapping for Propensity Score Analysis", "Version": "1.3.9", "Date": "2024-10-22", "Authors@R": "person(\"Jason\", \"Bryer\", , \"jason@bryer.org\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-2454-0402\"))", "Maintainer": "Jason Bryer ", "Description": "It is often advantageous to test a hypothesis more than\nonce in the context of propensity score analysis (Rosenbaum,\n2012) . The functions in this\npackage facilitate bootstrapping for propensity score analysis\n(PSA). By default, bootstrapping using two classification tree\nmethods (using 'rpart' and 'ctree' functions), two matching\nmethods (using 'Matching' and 'MatchIt' packages), and\nstratification with logistic regression. A framework is\ndescribed for users to implement additional propensity score\nmethods. Visualizations are emphasized for diagnosing balance;\nexploring the correlation relationships between bootstrap\nsamples and methods; and to summarize results.", "License": "GPL", "URL": "https://github.com/jbryer/PSAboot", "BugReports": "https://github.com/jbryer/PSAboot/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyLoad": "yes", "RoxygenNote": "7.3.2", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://jbryer.r-universe.dev", "Date/Publication": "2025-10-22 14:30:19 UTC", "RemoteUrl": "https://github.com/jbryer/psaboot", "RemoteRef": "HEAD", "RemoteSha": "d17d5aef05259205ddbd939b7ca6b20cf010df2c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 06:13:15 UTC", "User": "root" }, "Author": "Jason Bryer [aut, cre] (ORCID: )", "MD5sum": "9f40d9d75fe5b4e4eb9d944ebe167412", "_user": "jbryer", "_type": "src", "_file": "PSAboot_1.3.9.tar.gz", "_fileid": "ef97ac026ee2012453be46936bd772545fe490d902ab4964625201542b8485c5", "_filesize": 3077007, 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