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pGPx

0.1.4

Pseudo-Realizations for Gaussian Process Excursions

1packages depend
2.3Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Dario AzzimontiFirst published 2018-08-175 releasesCRAN page ↗

Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) doi:10.1137/141000749. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (https://cs.brown.edu/people/pfelzens/dt/index.html).

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
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  • NOTE r-devel-linux-x86_64-fedora-clang
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  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
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  • NOTE r-release-windows-x86_64
Slowest check: 3.3 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • NOTE2026-04-22
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    0 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 352 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

2.3K
CRAN downloads in the past year
Rank #16,491 · ~6/day · ~193/mo
Daily download trend is not available in this view yet.
15030 days
64690 days
2.3K1 year
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Also on391 r2u12 autocran

Dependencies

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

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Contributors (2)
Contributor
Contributor, Copyright holder
Copyright holders (2)
Author, Maintainer, Copyright holder
Contributor, Copyright holder
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.4Latest
    2023-08-23 · current release · diff ↗
  • 0.1.3
    2023-04-27 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    2022-09-08 · diff ↗
  • 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
  • 0.1.1
    2018-08-20 · diff ↗
  • 0.1.0
    2018-08-17
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-08-17
Total releases
5 / 8 yrs
License
GPL-3 OSI
Download size
29 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pGPx")
Azzimonti, D., Bect, J., & Felzenszwalb, P. (2023). pGPx: Pseudo-Realizations for Gaussian Process Excursions (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.pGPx

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 pGPx version 0.1.4 [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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