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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>.
Package details |
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Author | Adeline P. Guthrie [aut, cre] (<https://orcid.org/0009-0000-1548-3648>), Christopher T. Franck [aut] |
Maintainer | Adeline P. Guthrie <apguthrie47@gmail.com> |
License | MIT + file LICENSE |
Version | 1.0.1 |
URL | https://github.com/apguthrie/BRcal |
Package repository | View on CRAN |
Installation |
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