BRcal
1.0.1Boldness-Recalibration of Binary Events
Overview
Boldness-recalibration maximally spreads out probability predictions while maintaining a user specified level of calibration, facilitated the brcal() function. Supporting functions to assess calibration via Bayesian and Frequentist approaches, Maximum Likelihood Estimator (MLE) recalibration, Linear in Log Odds (LLO)-adjust via any specified parameters, and visualize results are also provided. Methodological details can be found in Guthrie & Franck (2024) doi:10.1080/00031305.2024.2339266.
Install
Health
- OK2026-04-0814 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-0713 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Repository
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 46 max
- Test cases
- 60 / 0.45 per code line
- Documented parameters
- 93%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
29 7 exported
Complexity
6.1 avg / 46 max
Call network
29 nodes / 55 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.1Latest
- 1.0.02024-09-13 · diff ↗
- 0.0.42024-06-25
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-06-25
- Total releases
- 3 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.3
- Bundled data
- 31 KB / 2 files
- Download size
- 1.2 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet