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 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:

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

Downloads:

Package source:	BRcal_0.0.4.tar.gz
Windows binaries:	r-devel: BRcal_0.0.4.zip, r-release: not available, r-oldrel: BRcal_0.0.4.zip
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

Linking:

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