BKP
0.3.1Beta Kernel Process Modeling
Overview
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.
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Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 55%
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Checks run against github.com/jiangyan-zhao/bkp on 2026-07-30.
Dependencies
Nothing depends on this yet.
Code & Tests
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8 releases. Pick two to compare their code metrics. R releases are shown for context.
- 0.3.1Latest
- 0.3.02026-07-02 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 0.2.32025-09-22 · diff ↗
- unarchivedReturned to CRAN2025-09-22
- archivedRemoved from CRAN2025-09-21policy violation, even after 3 attempts Vignettes can take hours
- 0.2.22025-09-17 · diff ↗
- 0.2.12025-09-17 · diff ↗
- 0.2.02025-09-16 · diff ↗
- 0.1.12025-08-19 · diff ↗
- 0.1.02025-07-23
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-23
- Total releases
- 8 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 818 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet