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This package was removed from CRAN on 2025-12-25. Its history is shown below.
Reason: issues were not addressed in time
Details below reflect version 3.0.1, its last release before removal.

GPM

3.0.1

Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets

1packages depend
downloads / year
test coverage
checks pass

Overview

About
Maintained by Ramin Bostanabad6 releasesCRAN page ↗

Provides a general and efficient tool for fitting a response surface to a dataset via Gaussian processes. The dataset can have multiple responses and be noisy (with stationary variance). The fitted GP model can predict the gradient as well. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering, 114, 501-516.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
10
Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
88%
Return-value docs
75%
References docs
88%

Downloads

Daily download trend is not available in this view yet.
Also on354 r2u14 autocran

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5stats
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
indirect (not tracked)

Code & Tests

People & History

People (5)
Other (5)
Contributor
Contributor · added in 3.0.0
Contributor · added in 3.0.0
Contributor · added in 3.0.0
Contributor · added in 3.0.0
Listed in earlier versions (1)
no longer listed · 1.0.2 to 2.0.0
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • archivedRemoved from CRAN
    2025-12-25
    issues were not addressed in time
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 3.0.1
    2019-03-21 · diff ↗
  • 3.0.0
    2019-01-11 · diff ↗
  • 2.0.0
    2018-11-14 · diff ↗
  • 1.0.2
    2018-07-23 · diff ↗
  • 1.0.1
    2018-06-03 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0
    2018-01-05
Show 1 earlier events
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

Total releases
6
License
GPL-2 OSI
Minimum R
≥ 3.5
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GPM")
Bostanabad, R., Kearney, T., Tao, S., Apley, D., & (IDEAL), a. W. C. (n.d.). GPM: Gaussian Process Modeling of Multi-Response and Possibly Noisy Datasets (Version 3.0.1) [Computer software]. Retrieved August 15, 2026, from https://CRAN.R-project.org/package=GPM

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 GPM version 3.0.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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