{ "_id": "6a12c139acfb0bcc41d1ddc4", "Package": "boinet", "Version": "1.5.0", "Title": "Conduct Simulation Study of Bayesian Optimal Interval Design\nwith BOIN-ET Family", "Authors@R": "c(\nperson(given = \"Yusuke\",\nfamily = \"Yamaguchi\",\nrole = c(\"aut\",\"cre\"),\nemail = \"yamagubed@gmail.com\"),\nperson(given = \"Kentaro\",\nfamily = \"Takeda\",\nrole = c(\"aut\")))", "Description": "Bayesian optimal interval based on both efficacy and\ntoxicity outcomes (BOIN-ET) design is a model-assisted oncology\nphase I/II trial design, aiming to establish an optimal\nbiological dose accounting for efficacy and toxicity in the\nframework of dose-finding. Some extensions of BOIN-ET design\nare also available to allow for time-to-event efficacy and\ntoxicity outcomes based on cumulative and pending data\n(time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy\nand toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and\ntheir combination (TITE-gBOIN-ET). 'boinet' is a package to\nimplement the BOIN-ET design family and supports the conduct of\nsimulation studies to assess operating characteristics of\nBOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users\ncan choose design parameters in flexible and straightforward\nways depending on their own application.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 09:09:24 UTC", "User": "root" }, "Author": "Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut]", "Maintainer": "Yusuke Yamaguchi ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2025-10-26 19:20:02 UTC", "RemoteUrl": "https://github.com/cran/boinet", "RemoteRef": "HEAD", "RemoteSha": "d28e0e4732e32db4a8d4bbcb655f03a5c7acf3b4", "MD5sum": "73c1fd837ceca0bba201f2d0a6665355", "_user": "cran", "_type": "src", "_file": "boinet_1.5.0.tar.gz", "_fileid": 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