BKP: An R Package for Beta Kernel Process Modeling
The BKP package estimates input-dependent probabilities from binary data using a Bayesian approach with kernel smoothing. It models success probabilities as surfaces, updating Beta priors using kernel-weighted pseudo-counts and conjugate updates. The method includes calibration for trial sizes, hyperparameter tuning via cross-validation, and scalable approximations for large datasets.