BRcal: Boldness-Recalibration of Binary Events
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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.3) |
| Imports: |
nloptr, fields, ggplot2, lifecycle |
| Suggests: |
knitr, rmarkdown, devtools, xfun, gridExtra, testthat (≥
3.0.0) |
| Published: |
2024-10-14 |
| DOI: |
10.32614/CRAN.package.BRcal |
| Author: |
Adeline P. Guthrie
 [aut, cre],
Christopher T. Franck [aut] |
| Maintainer: |
Adeline P. Guthrie <apguthrie47 at gmail.com> |
| BugReports: |
https://github.com/apguthrie/BRcal/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/apguthrie/BRcal |
| NeedsCompilation: |
no |
| Citation: |
BRcal citation info |
| Materials: |
README |
| CRAN checks: |
BRcal results |
Documentation:
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