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brisk

0.1.1

Bayesian Benefit Risk Analysis

0packages depend
8.2Kdownloads / year
100.0%test coverage
13/13checks pass

Overview

About
Maintained by Richard PayneFirst published 2022-08-312 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.84
100.0%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-12
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 808 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

8.2K
CRAN downloads in the past year
Rank #5,725 · ~22/day · ~679/mo
Daily download trend is not available in this view yet.
28730 days
1.4K90 days
8.2K1 year
Compare downloads with other packages →
Also on120 r2u60 autocran

Repository

Repository
0Stars
0Forks
4Open issues
1Open PRs
1Releases
93Commits
2Contributors
93 commits · Last activity 2026-03-04

Releases over time

2022-08-30 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rich-payne/brisk on 2026-08-23.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: copilot on 2026-03-03

copilot

Most recent: copilot on 2026-03-03

Evidence
  • copilot: on 2026-03-03 · evidence A, PR · sole bot-author seen
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Copyright holders (1)
Copyright holder
Reviewers (1)
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-04 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2022-08-31
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-31
Total releases
2 / 4 yrs
License
MIT + file LICENSE OSI
Download size
534 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("brisk")
Payne, R., Dharmarajan, S., & Eli Lilly and Company, . (2026). brisk: Bayesian Benefit Risk Analysis (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.brisk

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for brisk version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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