R Observatory: Metrics for spatemR version 1.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

spatemR needs insight (through sphet → spatialreg → marginaleffects), which CRAN will archive unless its check problems are fixed by Nov 14.

spatemR

1.4.0Package record

Generalized Spatial Autoregresive Models for Mean and Variance

0packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Nelson Alirio Cruz GutierrezCRAN 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. 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-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). 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: 2.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-18
WARNING12 OK, 1 WARNING2026-09-12
OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.4.0

READMEYes · 25 wordsVignettesNoNEWSYes · 67% structured · does not mention 1.4.0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 8
Examples that run: 33%2 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 100%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 25%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #11,855 · ~9/day · ~279/mo

Releases R versions

Daily download trend is not available in this view yet.

30230 days

92690 days

3.3K1 year

Compare downloads with other packages →

Also on82 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing spatemR adds 40 packages (25 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, TH.data 8.2 MB.

Depends (1)

R >= 4.0

Imports (6)

methodsstatsgamlss gamlss.dist sphetMatrix

LinkingTo (0)

none

Suggests (3)

testthat sp spdep

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

insight through sphet → spatialreg → marginaleffectsfix by Nov 14

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Nelson Alirio Cruz Gutierrez

Oscar Orlando Melo

Author

Adrian Tobar Nicolau

Author · added in 1.4.0

Jurgen Toloza-Delgado

Author

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.4.0Latest
record
2026-04-14 · current release · diff ↗
1.3.0
record
2026-04-14 · diff ↗ ·
removed 2 exports
GEESAR, Hurdle_GEESAR

added 3 exports
GSCIMC, Hurdle_GSCIMC, var_rho_inv
1.2.0
record
2025-06-03 · diff ↗
1.1.0
record
2025-05-26 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.0
record
2025-04-03
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-04-03
Total releases: 5 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0
Download size: 16 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("spatemR")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.spasta.2024.100864.

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 1.4.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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