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dgpsi

2.6.0

Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations

0packages depend
2.9Kdownloads / year
0.1%test coverage
13/13checks pass

Overview

About
Maintained by Deyu MingFirst published 2022-09-297 releasesCRAN page ↗GitHub ↗

Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). The implementations follow Ming & Guillas (2021) doi:10.1137/20M1323771 and Ming, Williamson, & Guillas (2023) doi:10.1080/00401706.2022.2124311 and Ming & Williamson (2023) doi:10.48550/arXiv.2306.01212. To get started with the package, see https://mingdeyu.github.io/dgpsi-R/.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.00
0.1%
Coverage · measured lines
100%
Documentation · exports
20
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-03-10
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 484 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Downloads

2.9K
CRAN downloads in the past year
Rank #15,482 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
18530 days
67690 days
2.9K1 year
Compare downloads with other packages →
Also on126 r2u26 autocran

Repository

Repository
1Stars
4Forks
2Open issues
1Open PRs
7Releases
321Commits
3Contributors
deep-gaussian-processesemulationgaussian-processespackagersurrogate-models
321 commits · Last activity 2026-07-18 · 0% stars, 30d

Stars over time

2026-03-30 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mingdeyu/dgpsi-r on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
20 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.6.0Latest
    2025-10-15 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.5.0
    2024-12-15 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.4.0
    2024-01-14 · diff ↗
  • 2.3.0
    2023-09-03 · diff ↗
  • 2.2.0
    2023-06-05 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 2.1.6
    2023-02-08 · diff ↗
  • 2.1.5
    2022-09-29
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-29
Total releases
7 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0
Download size
703 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dgpsi")
Ming, D., & Williamson, D. (2025). dgpsi: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations (Version 2.6.0) [Computer software]. https://doi.org/10.32614/CRAN.package.dgpsi

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 dgpsi version 2.6.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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