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hetGP

1.1.9

Heteroskedastic Gaussian Process Modeling and Design under Replication

3packages depend
10.1Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Mickael BinoisFirst published 2017-09-2813 releasesCRAN page ↗

Performs Gaussian process regression with heteroskedastic noise following the model by Binois, M., Gramacy, R., Ludkovski, M. (2016) doi:10.48550/arXiv.1611.05902, with implementation details in Binois, M. & Gramacy, R. B. (2021) doi:10.18637/jss.v098.i13. The input dependent noise is modeled as another Gaussian process. Replicated observations are encouraged as they yield computational savings. Sequential design procedures based on the integrated mean square prediction error and lookahead heuristics are provided, and notably fast update functions when adding new observations.

Install

Health

CRAN checks
13OK
Slowest check: 15.8 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.08
0.0%
Coverage · measured lines
100%
Documentation · exports
6
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
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
83%
Return-value docs
48%
References docs
61%

Downloads

10.1K
CRAN downloads in the past year
Rank #4,064 · ~28/day · ~841/mo
Daily download trend is not available in this view yet.
62530 days
2K90 days
10.1K1 year
Compare downloads with other packages →
Also on454 r2u28 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (6)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 1.1.7 to 1.1.9
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.9Latest
    2026-04-23 · current release · diff ↗
  • 1.1.8
    2025-05-08 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.7
    2024-09-04 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.6
    2023-10-02 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.5
    2023-03-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.4
    2021-07-08 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.3
    2021-03-17 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.2
    2019-10-24 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
Show 7 earlier events
  • 1.1.1
    2019-01-10 · diff ↗
  • 1.1.0
    2018-09-18 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.2
    2018-02-06 · diff ↗
  • 1.0.1
    2017-11-29 · diff ↗
  • 1.0.0
    2017-09-28
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-09-28
Total releases
13 / 9 yrs
License
LGPL
Minimum R
≥ 2.10
Bundled data
311 KB / 2 files
Download size
1.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hetGP")
Binois, M., & Gramacy, R. B. (2026). hetGP: Heteroskedastic Gaussian Process Modeling and Design under Replication (Version 1.1.9) [Computer software]. https://doi.org/10.32614/CRAN.package.hetGP

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 hetGP version 1.1.9 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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