Package brisk updated to version 0.1.1 with previous version 0.1.0 dated 2022-08-31

Wed, 04 Mar 2026 15:02:00 CDT

Title: Bayesian Benefit Risk Analysis
Description: Quantitative methods for benefit-risk analysis help to condense complex decisions into a univariate metric describing the overall benefit relative to risk. One approach is to use the multi-criteria decision analysis framework (MCDA), as in Mussen, Salek, and Walker (2007) <doi:10.1002/pds.1435>. Bayesian benefit-risk analysis incorporates uncertainty through posterior distributions which are inputs to the benefit-risk framework. The brisk package provides functions to assist with Bayesian benefit-risk analyses, such as MCDA. Users input posterior samples, utility functions, weights, and the package outputs quantitative benefit-risk scores. The posterior of the benefit-risk scores for each group can be compared. Some plotting capabilities are also included.
Author: Richard Payne [aut, cre], Sai Dharmarajan [rev], Eli Lilly and Company [cph]
Maintainer: Richard Payne <paynestatistics@gmail.com>

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More information about brisk at CRAN