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brisk: Bayesian Benefit Risk Analysis

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.

Version: 0.1.0
Imports: dplyr (≥ 1.0), ellipsis (≥ 0.3), ggplot2 (≥ 3.3), hitandrun (≥ 0.5), purrr (≥ 0.3), rlang (≥ 1.0), tidyr (≥ 1.1)
Suggests: knitr, fs (≥ 1.5), testthat (≥ 3.0.0), tibble (≥ 3.1), rmarkdown
Published: 2022-08-31
DOI: 10.32614/CRAN.package.brisk
Author: Richard Payne [aut, cre], Sai Dharmarajan [rev], Eli Lilly and Company [cph]
Maintainer: Richard Payne <paynestatistics at gmail.com>
BugReports: https://github.com/rich-payne/brisk/issues
License: MIT + file LICENSE
URL: https://rich-payne.github.io/brisk/
NeedsCompilation: no
Materials: README
CRAN checks: brisk results

Documentation:

Reference manual: brisk.pdf
Vignettes: Random Weights

Downloads:

Package source: brisk_0.1.0.tar.gz
Windows binaries: r-devel: brisk_0.1.0.zip, r-release: brisk_0.1.0.zip, r-oldrel: brisk_0.1.0.zip
macOS binaries: r-release (arm64): brisk_0.1.0.tgz, r-oldrel (arm64): brisk_0.1.0.tgz, r-release (x86_64): brisk_0.1.0.tgz, r-oldrel (x86_64): brisk_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=brisk to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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