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: 0.0.4
Depends: R (≥ 4.3)
Imports: nloptr, fields, ggplot2
Suggests: knitr, rmarkdown, devtools, xfun, gridExtra, testthat (≥ 3.0.0)
Published: 2024-06-25
DOI: 10.32614/CRAN.package.BRcal
Author: Adeline P. Guthrie [aut, cre], Christopher T. Franck [aut]
Maintainer: Adeline P. Guthrie <apguthrie47 at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: BRcal citation info
Materials: README
CRAN checks: BRcal results


Reference manual: BRcal.pdf
Vignettes: Using 'BRcal' to Assess and Embolden Probability Forecasts


Package source: BRcal_0.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BRcal_0.0.4.tgz, r-oldrel (arm64): BRcal_0.0.4.tgz, r-release (x86_64): BRcal_0.0.4.tgz, r-oldrel (x86_64): BRcal_0.0.4.tgz


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