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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=BRcal to link to this page.
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