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 + fileLICENSE |
| URL: | https://github.com/apguthrie/BRcal |
| NeedsCompilation: | no |
| Citation: | BRcal citation info |
| Materials: | README |
| CRAN checks: | BRcal results |
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