R Observatory: Metrics for spatemR version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spatemR

1.3.0

Generalized Spatial Autoregresive Models for Mean and Variance

0packages depend

3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Nelson Alirio Cruz GutierrezFirst published 2025-04-034 releasesCRAN page ↗

Modeling spatial dependencies in dependent variables, extending traditional spatial regression approaches. It allows for the joint modeling of both the mean and the variance of the dependent variable, incorporating semiparametric effects in both models. Based on generalized additive models (GAM), the package enables the inclusion of non-parametric terms while maintaining the classical theoretical framework of spatial regression. Additionally, it implements the Generalized Spatial Autoregression (GSAR) model, which extends classical methods like logistic Spatial Autoregresive Models (SAR), probit Spatial Autoregresive Models (SAR), and Poisson Spatial Autoregresive Models (SAR), offering greater flexibility in modeling spatial dependencies and significantly improving computational efficiency and the statistical properties of the estimators. Related work includes: a) J.D. Toloza-Delgado, Melo O.O., Cruz N.A. (2024). "Joint spatial modeling of mean and non-homogeneous variance combining semiparametric SAR and GAMLSS models for hedonic prices". doi:10.1016/j.spasta.2024.100864. b) Cruz, N. A., Toloza-Delgado, J. D., Melo, O. O. (2024). "Generalized spatial autoregressive model". doi:10.48550/arXiv.2412.00945.

Install

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

install.packages("spatemR", 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-spatemr

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-spatemR

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-spatemR

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

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 25 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 33%
Documented parameters: 98%
Return-value docs: 100%
References docs: 25%

Downloads

3K

CRAN downloads in the past year

Rank #10,040 · ~8/day · ~247/mo

Releases R versions

Daily download trend is not available in this view yet.

19130 days

95290 days

3K1 year

Compare downloads with other packages →

Also on103 r2u16 autocran

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0

Imports (6)

methodsstatsgamlss gamlss.dist sphetMatrix

LinkingTo (0)

none

Suggests (3)

testthat sp spdep

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Nelson Alirio Cruz Gutierrez

Author, Maintainer, Copyright holder

Authors (3)

Nelson Alirio Cruz Gutierrez

Author, Maintainer, Copyright holder

Oscar Orlando Melo

Author

Jurgen Toloza-Delgado

Author

Copyright holders (1)

Nelson Alirio Cruz Gutierrez

Author, Maintainer, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.3.0Latest
2026-04-14 · current release · diff ↗
1.2.0
2025-06-03 · diff ↗
1.1.0
2025-05-26 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.0
2025-04-03
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-04-03
Total releases: 4 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0
Download size: 16 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("spatemR")

Format

Cruz Gutierrez, N. A., Melo, O. O., & Toloza-Delgado, J. (2026). spatemR: Generalized Spatial Autoregresive Models for Mean and Variance (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.spatemR

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 spatemR version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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