https://jiangyan-zhao.r-universe.devRecent package updates in jiangyan-zhaoR-universehttps://github.com/jiangyan-zhao.pnghttps://jiangyan-zhao.r-universe.devThu, 11 Jun 2026 13:46:26 GMTzhaojy2017@126.com (Jiangyan Zhao)Implements the Beta Kernel Process (BKP) for nonparametric modeling of spatially varying binomial probabilities, together with its extension, the Dirichlet Kernel Process (DKP), for categorical or multinomial data. The package provides functions for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one-and two-dimensional input spaces. Multiple kernel functions (Gaussian, Matern 5/2, and Matern 3/2) are supported, with hyperparameters optimized through multi-start gradient-based search. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.https://github.com/r-universe/jiangyan-zhao/actions/runs/27354649543Thu, 11 Jun 2026 13:46:26 GMTBKP0.2.3.9000successhttps://jiangyan-zhao.r-universe.devhttps://github.com/jiangyan-zhao/bkpzhaojy2017@126.com (Jiangyan Zhao)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>.https://github.com/r-universe/jiangyan-zhao/actions/runs/27131478020Mon, 08 Jun 2026 03:11:25 GMTSKBD0.1.1.9000successhttps://jiangyan-zhao.r-universe.devhttps://github.com/jiangyan-zhao/skbd