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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>.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dirmult, ggplot2, gridExtra, lattice, nloptr, rlang, Rcpp, tgp |
| LinkingTo: | Rcpp, RcppArmadillo, nloptr |
| Suggests: | knitr, mlbench, testthat (≥ 3.0.0) |
| Published: | 2026-07-13 |
| DOI: | 10.32614/CRAN.package.BKP |
| Author: | Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut] |
| Maintainer: | Jiangyan Zhao <zhaojy2017 at 126.com> |
| BugReports: | https://github.com/Jiangyan-Zhao/BKP/issues |
| License: | GPL (≥ 3) |
| Copyright: | See inst/COPYRIGHTS BKP copyright details |
| URL: | https://github.com/Jiangyan-Zhao/BKP, https://github.com/Jiangyan-Zhao/BKP-paper |
| NeedsCompilation: | yes |
| Citation: | BKP citation info |
| Materials: | README, NEWS |
| CRAN checks: | BKP results |
| Reference manual: | BKP.html , BKP.pdf |
| Package source: | BKP_0.3.1.tar.gz |
| Windows binaries: | r-devel: BKP_0.3.1.zip, r-release: BKP_0.3.1.zip, r-oldrel: BKP_0.3.1.zip |
| macOS binaries: | r-release (arm64): BKP_0.3.1.tgz, r-oldrel (arm64): BKP_0.3.1.tgz, r-release (x86_64): BKP_0.3.1.tgz, r-oldrel (x86_64): BKP_0.3.1.tgz |
| Old sources: | BKP archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.