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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | brisk_0.1.1.tar.gz |
207.0 KiB |
0.1.1 |
rolling linux/noble R-4.5 | brisk_0.1.1.tar.gz |
206.9 KiB |
0.1.1 |
rolling source/ R- | brisk_0.1.1.tar.gz |
553.0 KiB |
0.1.1 |
latest linux/jammy R-4.5 | brisk_0.1.1.tar.gz |
207.0 KiB |
0.1.1 |
latest linux/noble R-4.5 | brisk_0.1.1.tar.gz |
206.9 KiB |
0.1.1 |
latest source/ R- | brisk_0.1.1.tar.gz |
553.0 KiB |
0.1.1 |
2026-04-26 source/ R- | brisk_0.1.1.tar.gz |
553.0 KiB |
0.1.1 |
2026-04-23 source/ R- | brisk_0.1.1.tar.gz |
553.0 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | brisk_0.1.1.zip |
214.3 KiB |
0.1.0 |
2025-04-20 source/ R- | brisk_0.1.0.tar.gz |
495.3 KiB |