R Observatory: Metrics for SpatialGEV version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SpatialGEV

1.0.1Package record

Fit Spatial Generalized Extreme Value Models

0packages depend

2.7Kdownloads / year

18.6%test coverage

13/13flavors OK

Overview

About

Maintained by Meixi ChenCRAN page ↗

Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder 'TMB' in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in 'TMB' by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2024) doi:10.48550/arXiv.2110.07051.

Install

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

install.packages("SpatialGEV", 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-spatialgev

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-SpatialGEV

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-SpatialGEV

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 6.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 464 wordsVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 19 (1 internal)includes a package overview page
Examples that run: 43%3 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 88%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 5%

Vignettes (1)

SpatialGEV-guide HTML

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #15,805 · ~7/day · ~226/mo

Releases R versions

Daily download trend is not available in this view yet.

27330 days

77690 days

2.7K1 year

Compare downloads with other packages →

Also on352 r2u7 autocran

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing SpatialGEV adds 5 packages (5 with compiled code, 6.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, mvtnorm 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (6)

TMB mvtnorm evdstatsMatrixmethods

LinkingTo (2)

TMB RcppEigen

Suggests (4)

INLA testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Meixi Chen

Author, Maintainer since 1.0.0 (2022)

Martin Lysy

Author

Reza Ramezan

Contributor

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.1Latest
record
2024-06-09 · current release · diff ↗ ·
removed 1 export
r_nll

added 1 export
spatialGEV_model
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.0.0
record
2022-04-05
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-04-05
Total releases: 2 / 4 yrs
License: GPL-3 OSI
Additional repositories: inla.r-inla-download.org
Minimum R: ≥ 3.5.0
Bundled data: 280 KB / 4 files
Download size: 821 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SpatialGEV")

Format

Chen, M., Lysy, M., & Ramezan, R. (2024). SpatialGEV: Fit Spatial Generalized Extreme Value Models (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SpatialGEV

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 SpatialGEV version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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