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bhetGP

1.0.2

Bayesian Heteroskedastic Gaussian Processes

0packages depend
6.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Parul V. PatilFirst published 2025-07-143 releasesCRAN page ↗

Performs Bayesian posterior inference for heteroskedastic Gaussian processes. Models are trained through MCMC including elliptical slice sampling (ESS) of latent noise processes and Metropolis-Hastings sampling of kernel hyperparameters. Replicates are handled efficientyly through a Woodbury formulation of the joint likelihood for the mean and noise process (Binois, M., Gramacy, R., Ludkovski, M. (2018) doi:10.1080/10618600.2018.1458625) For large data, Vecchia-approximation for faster computation is leveraged (Sauer, A., Cooper, A., and Gramacy, R., (2023), doi:10.1080/10618600.2022.2129662). Incorporates 'OpenMP' and SNOW parallelization and utilizes 'C'/'C++' under the hood.

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
14
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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 304 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
100%
References docs
57%

Downloads

6.2K
CRAN downloads in the past year
Rank #7,467 · ~17/day · ~518/mo
Daily download trend is not available in this view yet.
17930 days
1.2K90 days
6.2K1 year
Compare downloads with other packages →
Also on393 r2u24 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (14)
grDevicesgraphicsstatsdoParallelforeachparallelGpGpGPvecchiaMatrixRcppmvtnormFNNhetGPlaGP
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.0 to 1.0.2
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2026-02-09 · current release · diff ↗
  • 1.0.1
    2025-07-19 · diff ↗
  • 1.0
    2025-07-14
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-07-14
Total releases
3 / 1 yrs
License
LGPL
Download size
62 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bhetGP")
Patil, P. V. (2026). bhetGP: Bayesian Heteroskedastic Gaussian Processes (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.bhetGP

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 bhetGP version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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