Package: BRcal 1.0.1

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>.

Authors:Adeline P. Guthrie [aut, cre], Christopher T. Franck [aut]

BRcal_1.0.1.tar.gz
BRcal_1.0.1.zip(r-4.7)BRcal_1.0.1.zip(r-4.6)BRcal_1.0.1.zip(r-4.5)
BRcal_1.0.1.tgz(r-4.6-any)BRcal_1.0.1.tgz(r-4.5-any)
BRcal_1.0.1.tar.gz(r-4.6-any)BRcal_1.0.1.tar.gz(r-4.5-any)
BRcal_1.0.1.tgz(r-4.5-emscripten)
BRcal.pdf |BRcal.html✨
BRcal/json (API)

# Install 'BRcal' in R:
install.packages('BRcal', repos = c('https://apguthrie.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/apguthrie/brcal/issues

Datasets:
  • foreclosure - Foreclosure Monitoring Predictions data
  • hockey - Hockey Home Team Win Predictions data

On CRAN:

Conda:

3.70 score 5 scripts 243 downloads 7 exports 23 dependencies

Last updated from:9219e8f91e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK171
source / vignettesOK264
linux-release-x86_64OK182
macos-release-arm64OK182
macos-oldrel-arm64OK188
windows-develOK134
windows-releaseOK153
windows-oldrelOK133
wasm-releaseOK132

Exports:bayes_msbrcallineplotLLOllo_lrtmle_recalplot_params

Dependencies:clicpp11dotCall64farverfieldsggplot2gluegtableisobandlabelinglifecyclemapsnloptrR6RColorBrewerRcpprlangS7scalesspamvctrsviridisLitewithr

Using BRcal to Assess and Embolden Probability Forecasts

Rendered fromhockey_vignette.Rmdusingknitr::rmarkdownon Apr 08 2026.

Last update: 2024-09-13
Started: 2024-06-16