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GPvecchia

0.1.8

Scalable Gaussian-Process Approximations

3packages depend
5.5Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Marcin JurekFirst published 2019-10-027 releasesCRAN page ↗

Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) doi:10.48550/arXiv.1708.06302. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) doi:10.48550/arXiv.1706.02205 and MaxMin ordering proposed in Guinness (2018) doi:10.48550/arXiv.1609.05372.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.25
0.0%
Coverage · measured lines
100%
Documentation · exports
9
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
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 279 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
97%
Return-value docs
100%
References docs
0%

Downloads

5.5K
CRAN downloads in the past year
Rank #5,855 · ~15/day · ~454/mo
Daily download trend is not available in this view yet.
27830 days
1.4K90 days
5.5K1 year
Compare downloads with other packages →
Also on439 r2u20 autocran

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (9)
LinkingTo (3)
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

People & History

People (7)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Contributors (3)
Contributor
Contributor · added in 0.1.2
Contributor
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
  • 0.1.8Latest
    2026-01-31 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.7
    2024-03-12 · diff ↗
  • 0.1.6
    2024-02-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.4
    2022-10-24 · 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
  • 0.1.3
    2020-04-22 · diff ↗
  • 0.1.2
    2020-04-14 · diff ↗
  • unarchivedReturned to CRAN
    2020-04-14
  • archivedRemoved from CRAN
    2019-10-17
    check errors were not corrected in time ASAN/valgrind (including heap overflow on attempted fix)
  • 0.1.0
    2019-10-02
Show 1 earlier events
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-10-02
Total releases
7 / 7 yrs
License
GPL (>= 2) OSI
Download size
186 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GPvecchia")
Jurek, M., Gong, W., Guinness, J., Katzfuss, M., Schaefer, F., Zhang, J., & Zilber, D. (2026). GPvecchia: Scalable Gaussian-Process Approximations (Version 0.1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.GPvecchia

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 GPvecchia version 0.1.8 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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