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-4.5)BRcal_1.0.1.zip(r-4.4)BRcal_1.0.1.zip(r-4.3)
BRcal_1.0.1.tgz(r-4.4-any)BRcal_1.0.1.tgz(r-4.3-any)
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BRcal_1.0.1.tgz(r-4.4-emscripten)BRcal_1.0.1.tgz(r-4.3-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'))

Peer review:

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

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

On CRAN:

4.98 score 5 scripts 201 downloads 7 exports 34 dependencies

Last updated 13 hours agofrom:9219e8f91e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winOKNov 23 2024
R-4.5-linuxOKNov 23 2024
R-4.4-winOKNov 23 2024
R-4.4-macOKNov 23 2024
R-4.3-winOKNov 23 2024
R-4.3-macOKNov 23 2024

Exports:bayes_msbrcallineplotLLOllo_lrtmle_recalplot_params

Dependencies:clicolorspacedotCall64fansifarverfieldsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmapsMASSMatrixmgcvmunsellnlmenloptrpillarpkgconfigR6RColorBrewerRcpprlangscalesspamtibbleutf8vctrsviridisLitewithr

Using BRcal to Assess and Embolden Probability Forecasts

Rendered fromhockey_vignette.Rmdusingknitr::rmarkdownon Nov 23 2024.

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