Boldness-Recalibration of Binary Events
Bayesian Model Selection-Based Calibration Assessment
Boldness-Recalibration for Binary Events
Lineplot for LLO-adjusted Probability Predictions
Likelihood Ratio Test for Calibration
Linear Log Odds (LLO) Recalibration Function
Recalibration via Maximum Likelihood Estimates (MLEs)
Draw image plot of posterior model probability surface.
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>.