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 | 
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