BKP - Beta Kernel Process Modeling
Implements the Beta Kernel Process (BKP) for nonparametric modeling of covariate-dependent binomial probabilities, and the Dirichlet Kernel Process (DKP) for categorical or multinomial response data. Scalable global-local approximations are provided through TwinBKP and TwinDKP, using twinning-selected global subsets and local nearest-neighbour updates. Functions are included for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one- and two-dimensional input spaces. Gaussian, Matern 5/2, Matern 3/2, and Wendland kernels are supported, with hyperparameters selected by multi-start derivative-free optimization. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Last updated
bayesian-beta-kernel-modelbayesian-nonparametric-modelsbeta-binomialbeta-kernel-processbeta-processcontinuous-correlated-beta-processesdirichlet-kernel-processdirichlet-multinomialdirichlet-processkernel-methodssmoothed-beta-distributionssmoothed-beta-processopenblascppopenmp
4.60 score 2 stars 16 scripts 365 downloadsSKBD - Shared Keyboard Designs for Phase I Clinical Trials
Implements the shared keyboard design (SKBD) for model-assisted phase I dose-finding, including decision-boundary construction, operating-characteristic simulation, and extensions for dose insertion and time-to-event settings. The package also provides an interactive Shiny interface for trial-planning workflows. For more details, see Zhao, Shi, and Xu (2026) <doi:10.48550/arXiv.2605.25043>.
Last updated
4.12 score 2 stars 11 scripts 238 downloads