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BKP  

Beta Kernel Process Modeling
View on CRAN: Click here


Download and install BKP package within the R console
Install from CRAN:
install.packages("BKP")

Install from Github:
library("remotes")
install_github("cran/BKP")

Install by package version:
library("remotes")
install_version("BKP", "0.3.1")



Attach the package and use:
library("BKP")
Maintained by
Jiangyan Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-23
Latest Update: 2025-07-23
Description:
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>.
How to cite:
Jiangyan Zhao (2025). BKP: Beta Kernel Process Modeling. R package version 0.3.1, https://cran.r-project.org/web/packages/BKP. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2025-07-23 20:50), 0.1.1 (2025-08-19 10:40), 0.2.0 (2025-09-16 11:30), 0.2.1 (2025-09-17 09:50), 0.2.2 (2025-09-17 15:50), 0.2.3 (2025-09-22 09:20), 0.3.0 (2026-07-02 17:02), (2026-07-13 12:20)
Other packages that cited BKP R package
View BKP citation profile
Other R packages that BKP depends, imports, suggests or enhances
Complete documentation for BKP
Functions, R codes and Examples using the BKP R package
Full BKP package functions and examples
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