R Observatory: Metrics for GeoModels version 2.2.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GeoModels

2.2.7

Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

0packages depend

6.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Moreno BevilacquaFirst published 2022-05-2548 releasesCRAN page ↗GitHub ↗

Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) doi:10.1007/s11222-014-9460-6, Bevilacqua et al. (2016) doi:10.1007/s13253-016-0256-3, Vallejos et al. (2020) doi:10.1007/978-3-030-56681-4, Bevilacqua et. al (2020) doi:10.1002/env.2632, Bevilacqua et. al (2021) doi:10.1111/sjos.12447, Bevilacqua et al. (2022) doi:10.1016/j.jmva.2022.104949, Morales-Navarrete et al. (2023) doi:10.1080/01621459.2022.2140053, and a large class of examples and tutorials.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("vmoprojs/GeoModels")

Development version from vmoprojs/GeoModels. Installs pak first if it is not already available.

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-geomodels

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-GeoModels

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-GeoModels

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

Health

CRAN checks

13OK

Slowest check: 7.4 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

23

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-07-31
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 90%
Documented parameters: 99%
Return-value docs: 100%
References docs: 25%

Downloads

6.7K

CRAN downloads in the past year

Rank #4,783 · ~18/day · ~555/mo

Releases R versions

Daily download trend is not available in this view yet.

35430 days

1.6K90 days

6.7K1 year

Compare downloads with other packages →

Also on565 r2u4 autocran

Repository

GitHub ↗ vmoprojs/geomodels

3Stars

7Forks

1Open issues

0Open PRs

0Releases

258Commits

3Contributors

258 commits · Last activity 2025-01-27

Stars over time

2023-12-21 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

Checks run against github.com/vmoprojs/geomodels on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Depends (6)

R >= 4.1.0fields mapproj shape progressr future.apply

Imports (18)

methodsspam scatterplot3d dotCall64 FastGP plotrix pracma pbivnorm sn sp nabor hypergeo VGAM foreach future doFuture minqa withr

LinkingTo (0)

none

Suggests (2)

numDeriv memuse

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Moreno Bevilacqua

Author, Maintainer, Copyright holder

Authors (1)

Moreno Bevilacqua

Author, Maintainer, Copyright holder

Contributors (3)

Christian Caamaño-Carrillo

Contributor

Francisco Cuevas-Pacheco

Contributor · added in 2.1.0

Víctor Morales-Oñate

Contributor

Copyright holders (1)

Moreno Bevilacqua

Author, Maintainer, Copyright holder

Package Timeline

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

2.2.7Latest
2026-07-29 · current release · diff ↗
2.2.6
2026-07-16 · diff ↗
2.2.5
2026-06-30 · diff ↗
2.2.4
2026-06-15 · diff ↗
R
R 4.6.0 released · 2026-04-24
2.2.3
2026-04-06 · diff ↗
2.2.2
2026-01-17 · diff ↗
2.2.1
2025-11-24 · diff ↗
2.2.0
2025-09-11 · diff ↗
2.1.9
2025-09-01 · diff ↗
2.1.8
2025-07-31 · diff ↗
2.1.7
2025-07-18 · diff ↗
2.1.6
2025-06-25 · diff ↗
2.1.5
2025-05-22 · diff ↗
2.1.4
2025-05-09 · diff ↗
2.1.3
2025-05-02 · diff ↗

Show 39 earlier events

2.1.2
2025-04-25 · diff ↗
2.1.1
2025-04-13 · diff ↗
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R 4.5.0 released · 2025-04-11
2.1.0
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2024-05-16 · diff ↗
R
R 4.4.0 released · 2024-04-24
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R
R 4.3.0 released · 2023-04-21
1.0.7
2023-03-14 · diff ↗
1.0.6
2023-01-07 · diff ↗
1.0.5
2022-12-05 · diff ↗
1.0.4
2022-11-30 · diff ↗
1.0.3
2022-10-23 · diff ↗
1.0.2
2022-09-04 · diff ↗
unarchivedReturned to CRAN
2022-09-04
archivedRemoved from CRAN
2022-07-16
check issues were not addressed in time
1.0.1
2022-06-05 · diff ↗
1.0.0
2022-05-25
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-05-25
Total releases: 48 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.1.0
Bundled data: 1.9 MB / 7 files
Download size: 2.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GeoModels")

Format

Bevilacqua, M., Caamaño-Carrillo, C., Cuevas-Pacheco, F., & Morales-Oñate, V. (2026). GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis (Version 2.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.GeoModels

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 GeoModels version 2.2.7 [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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