R Observatory: Metrics for GpGp version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GpGp

1.0.0

Fast Gaussian Process Computation Using Vecchia's Approximation

8packages depend

9.2Kdownloads / year

86.9%test coverage

13/13checks pass

Overview

About

Maintained by Joseph GuinnessFirst published 2018-02-1912 releasesCRAN page ↗

Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) http://www.jstor.org/stable/2345768, and the reordering and grouping methods are from Guinness (2018) doi:10.1080/00401706.2018.1437476. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) doi:10.48550/arXiv.1905.08374.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("GpGp", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gpgp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-GpGp

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-GpGp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.1 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.17

86.9%

Coverage · measured lines

100%

Documentation · exports

2

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

READMEYes · 95 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 91%
References docs: 0%

Downloads

9.2K

CRAN downloads in the past year

Rank #4,306 · ~25/day · ~768/mo

Releases R versions

Daily download trend is not available in this view yet.

43630 days

1.9K90 days

9.2K1 year

Compare downloads with other packages →

Also on530 r2u19 autocran

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (2)

Rcpp FNN

LinkingTo (3)

Rcpp RcppArmadillo BH

Suggests (5)

fields knitr rmarkdown testthat maps

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

0indirect

GPvecchia VeccTMVN bhetGP deepgp ferrn nntmvn tinyVAST SeBR

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Joseph Guinness

Author, Maintainer

Authors (3)

Joseph Guinness

Author, Maintainer

Youssef Fahmy

Author · added in 0.3.0

Matthias Katzfuss

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.0.0Latest
2025-12-18 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.5.1
2024-10-16 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.5.0
2024-02-19 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.4.0
2021-06-09 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.3.2
2021-01-27 · diff ↗
0.3.1
2020-10-17 · diff ↗
0.3.0
2020-10-03 · diff ↗
0.2.2
2020-07-12 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.1
2019-07-09 · diff ↗

Show 8 earlier events

0.2.0
2019-06-29 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.1
2019-01-30 · diff ↗
unarchivedReturned to CRAN
2019-01-30
archivedRemoved from CRAN
2019-01-28
check issues were not corrected despite reminder Singular matrix seen in the vignette on several platforms (intermittently or permanently)
R
R 3.5.0 released · 2018-04-23
0.1.0
2018-02-19
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-19
Total releases: 12 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 1.3 MB / 2 files
Download size: 1.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GpGp")

Format

Guinness, J., Fahmy, Y., & Katzfuss, M. (2025). GpGp: Fast Gaussian Process Computation Using Vecchia's Approximation (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GpGp

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GpGp version 1.0.0 [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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