{ "_id": "6a4a01c89ce196b5e5a90e5a", "Package": "brisk", "Title": "Bayesian Benefit Risk Analysis", "Version": "0.1.1", "Authors@R": "c(person(given = \"Richard\",\nfamily = \"Payne\",\nrole = c(\"aut\", \"cre\"),\nemail = \"paynestatistics@gmail.com\"),\nperson(given = \"Sai\",\nfamily = \"Dharmarajan\",\nrole = \"rev\",\nemail = c(\"sai.dharmarajan@fda.hhs.gov\", \"shdharma@umich.edu\")),\nperson(family = \"Eli Lilly and Company\",\nrole = \"cph\"))", "Description": "Quantitative methods for benefit-risk analysis help to\ncondense complex decisions into a univariate metric describing\nthe overall benefit relative to risk. One approach is to use\nthe multi-criteria decision analysis framework (MCDA), as in\nMussen, Salek, and Walker (2007) .\nBayesian benefit-risk analysis incorporates uncertainty through\nposterior distributions which are inputs to the benefit-risk\nframework. The brisk package provides functions to assist with\nBayesian benefit-risk analyses, such as MCDA. Users input\nposterior samples, utility functions, weights, and the package\noutputs quantitative benefit-risk scores. The posterior of the\nbenefit-risk scores for each group can be compared. Some\nplotting capabilities are also included.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "URL": "https://rich-payne.github.io/brisk/", "BugReports": "https://github.com/rich-payne/brisk/issues", "Config/pak/sysreqs": "libgmp3-dev libicu-dev", "Repository": "https://rich-payne.r-universe.dev", "Date/Publication": "2026-03-03 18:39:20 UTC", "RemoteUrl": "https://github.com/rich-payne/brisk", "RemoteRef": "HEAD", "RemoteSha": "8afe94c9af11eee7e0953a62b385268ad3537971", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-11 07:03:02 UTC", "User": "root" }, "Author": "Richard Payne [aut, cre],\nSai Dharmarajan [rev],\nEli Lilly and Company [cph]", "Maintainer": "Richard Payne ", "_user": "rich-payne", "_type": "src", "_file": "brisk_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/b6660dfd023c8873f1baf96898111bc707cdcf4df8efd849fd05ddaf064114d8", 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