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BayesGP

0.1.3

Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models

0packages depend
8Kdownloads / year
0.8%test coverage
13/13checks pass

Overview

About
Maintained by Ziang ZhangFirst published 2024-11-121 releasesCRAN page ↗

Implements Bayesian hierarchical models with flexible Gaussian process priors, focusing on Extended Latent Gaussian Models and incorporating various Gaussian process priors for Bayesian smoothing. Computations leverage finite element approximations and adaptive quadrature for efficient inference. Methods are detailed in Zhang, Stringer, Brown, and Stafford (2023) doi:10.1177/09622802221134172; Zhang, Stringer, Brown, and Stafford (2024) doi:10.1080/10618600.2023.2289532; Zhang, Brown, and Stafford (2023) doi:10.48550/arXiv.2305.09914; and Stringer, Brown, and Stafford (2021) doi:10.1111/biom.13329.

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.03
0.8%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 472 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
0%

Downloads

8K
CRAN downloads in the past year
Rank #5,639 · ~22/day · ~670/mo
Daily download trend is not available in this view yet.
25030 days
1.4K90 days
8K1 year
Compare downloads with other packages →
Also on404 r2u28 autocran

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
LinkingTo (2)
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-11-12
Total releases
1 / 2 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.6.0
Bundled data
91 KB / 3 files
Download size
686 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesGP")
Zhang, Z., Brown, P., Lin, Y., & Stringer, A. (2024). BayesGP: Efficient Implementation of Gaussian Process in Bayesian Hierarchical Models (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesGP

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesGP version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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