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bhetGP

1.0.2Package record

Bayesian Heteroskedastic Gaussian Processes

0packages depend
6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 304 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
67%2 run in a plain check · 1 hold no code
Exported functions with examples
67%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
57%

Downloads

6K
CRAN downloads in the past year
Rank #9,463 · ~17/day · ~504/mo
Daily download trend is not available in this view yet.
Also on367 r2u19 autocran

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing bhetGP adds 24 packages (17 with compiled code, 36 MB of source tarballs). Heaviest: BH 14 MB, fields 3.9 MB, spam 3.1 MB.

Depends (0)
none
Imports (14)
grDevicesgraphicsstatsdoParallelforeachparallelGpGpGPvecchiaMatrixRcppmvtnormFNNhetGPlaGP
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2025)
Listed in earlier versions (1)
Patil
no longer listed · 1.0 to 1.0.2
Releases (3)

Pick two releases to compare their code metrics.

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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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