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cff-version: 1.2.0
message: 'To cite package "brisk" in publications use:'
type: software
license: MIT
title: 'brisk: Bayesian Benefit Risk Analysis'
version: 0.1.0.9000
doi: 10.32614/CRAN.package.brisk
abstract: 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) <https://doi.org/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.
authors:
- family-names: Payne
  given-names: Richard
  email: paynestatistics@gmail.com
repository: https://rich-payne.r-universe.dev
repository-code: https://github.com/rich-payne/brisk
commit: 7cd40d4d047dadcf6bfa2851371e8d3c18865457
url: https://rich-payne.github.io/brisk/
contact:
- family-names: Payne
  given-names: Richard
  email: paynestatistics@gmail.com