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BKP: Beta and Dirichlet Kernel Processes for Binomial and Multinomial Modeling

Provides methods for nonparametric modeling of binomial and multinomial success probabilities via the Beta Kernel Process and its extension, the Dirichlet Kernel Process. Supports model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one- and two-dimensional input spaces. The package implements multiple kernel functions (Gaussian, Matern 5/2, and Matern 3/2), and performs hyperparameter optimization using multi-start gradient-based search. Applications include spatial statistics, probabilistic classification, and Bayesian experimental design. For more details, see MacKenzie, Trafalis, and Barker (2014) <doi:10.1002/sam.11241>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: gridExtra, lattice, optimx, tgp
Suggests: stats, testthat (≥ 3.0.0)
Published: 2025-07-23
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
URL: https://github.com/Jiangyan-Zhao/BKP
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: BKP results

Documentation:

Reference manual: BKP.html , BKP.pdf

Downloads:

Package source: BKP_0.1.0.tar.gz
Windows binaries: r-devel: BKP_0.1.0.zip, r-release: BKP_0.1.0.zip, r-oldrel: BKP_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): BKP_0.1.0.tgz, r-oldrel (x86_64): BKP_0.1.0.tgz

Linking:

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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.
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