{ "_id": "6a2e7ff23efcd9bda43182bf", "Package": "rsmatch", "Title": "Matching Methods for Time-Varying Observational Studies", "Version": "0.2.1", "Authors@R": "c(\nperson(\"Sean\", \"Kent\", , \"skent259@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-8697-9069\")),\nperson(\"Mitchell\", \"Paukner\", role = c(\"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-3839-5311\"))\n)", "Description": "Implements popular methods for matching in time-varying\nobservational studies. Matching is difficult in this scenario\nbecause participants can be treated at different times which\nmay have an influence on the outcomes. The core methods\ninclude: \"Balanced Risk Set Matching\" from Li, Propert, and\nRosenbaum (2011) and\n\"Propensity Score Matching with Time-Dependent Covariates\" from\nLu (2005) . Some\nfunctions use the 'Gurobi' optimization back-end to improve the\noptimization problem speed; the 'gurobi' R package and\nassociated software can be downloaded from\n after obtaining a license.", "License": "MIT + file LICENSE", "URL": "https://skent259.github.io/rsmatch/,\nhttps://github.com/skent259/rsmatch", "BugReports": "https://github.com/skent259/rsmatch/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.2.3", "Repository": "https://skent259.r-universe.dev", "Date/Publication": "2024-02-20 20:23:11 UTC", "RemoteUrl": "https://github.com/skent259/rsmatch", "RemoteRef": "HEAD", "RemoteSha": "6aa5b3b7c7109cbcbefa2f46f7f25d7ef0101b4e", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-14 10:15:28 UTC", "User": "root" }, "Author": "Sean Kent [aut, cre, cph] (ORCID:\n),\nMitchell Paukner [aut, cph] (ORCID:\n)", "Maintainer": "Sean Kent ", "MD5sum": "c68a0a4508308ad285f689ab65e8cbbf", "_user": 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