R Observatory: Metrics for glmSTARMA version 1.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

glmSTARMA

1.1.0Package record

(Double) Generalized Linear Models for Spatio-Temporal Data

0packages depend

1.8Kdownloads / year

94.1%test coverage

13/13flavors OK

Overview

About

Maintained by Steffen MaletzCRAN page ↗GitHub ↗Issues ↗

Fit spatio-temporal models within a (double) generalized linear modelling framework. The package includes functions for estimation, simulation and inference.

Changes in 1.1.0

New Features

Added the argument const to the vgamma() family function. It is used in the transformation of past observations when the log-link is used: past observations are now transformed as log(y + const) instead of log(y).
Added the argument dispersion_constant to the dglmstarma.control() and glmstarma_sim.control() functions. Its value is passed to the const argument of vgamma() when the log-link is used for the dispersion model in dglmstarma().

Minor Improvements

The log-likelihood of the QuasiBinomial family is now more robust against numerical issues.
Removed redundant checks for NA and infinite values in the ts argument of the glmstarma() and dglmstarma() functions.
Removed unused C++ methods that were left over from a preliminary version of the package.
Added withr to the Suggests field in the DESCRIPTION file; it is now used in the test-data.R test.

Bug Fixes

Fixed a bug that prevented a dispersion model with an identity link from being fitted.
Fixed a bug in the variance() and dev.resids() functions of the vbinomial() and vquasibinomial() family functions.
Fixed a bug in the dev.resids() function of the vbinomial() and vquasibinomial() family functions that caused problems when observed values were on the boundary of the support.

Show all changes in 1.1.0Hide the rest of the changes in 1.1.0

Fixed a bug in the variance() function of the vnormal() family function, which now returns the correct dimensions when ignore_dispersion = TRUE and mu is not a matrix.
The default dispersion parameter for vquasibinomial() is now correctly set to 1 instead of 0 (not allowed) if the user does not specify a value and it must be estimated.
Fixed a bug in the vnegative.binomial() family that did not allow zero values in the dispersion argument. For zero-values in the dispersion, the Negative Binomial distribution reduces to a Poisson distribution.
Fixed a bug in the variance_fun of the InversGauss family in C++.
Changed the observation transformation for vpoisson("sqrt"), vquasipoisson("sqrt"), and vnegative.binomial("sqrt") to sqrt(x), as sqrt(x + 3/8) * 2 was causing problems.
Fixed a bug in the link_trafo() and derivative_link_trafo() functions of the SoftClippingBinomial and SoftClippingQuasiBinomial family functions in C++, which caused problems when different values of n were used across locations.
Fixed a bug in dglmstarma.control() where parameter_init_dispersion was not checked.
Fixed a bug in predict.dglmstarma() that ignored the specified copula for prediction type "sample".
Fixed bugs in glmstarma_predict() and dglmstarma_predict() that always caused warnings when time-varying covariates were included in the model.
Fixed a bug in predict.glmstarma() that prevented predictions for models with a homogeneous intercept.
Fixed a bug in fitted.dglmstarma() that prevented initial time points from being removed when drop_init = TRUE.
Fixed a bug that prevented residuals of a model from being scaled by the variance.
print.summary.glmstarma() and print.summary.dglmstarma() can now handle empty models.
delete_glmSTARMA_data() now gives correct messages when datasets do not exist in the cache.
The documentation of the SST dataset now lists the correct number of locations/grid points.
Removed an incorrect reference to a vgarch family from the stfamily help page.

From NEWS.md in the release

Install

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

install.packages("glmSTARMA", 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("stmaletz/glmSTARMA")

Development version from stmaletz/glmSTARMA. 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-glmstarma

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-glmSTARMA

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-glmSTARMA

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: 7.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-02
NOTE11 OK, 1 NOTE2026-04-25
OK11 OK2026-04-22

Show 4 earlier changesHide 4 earlier changes

ERROR10 OK, 1 ERROR2026-04-18
OK11 OK2026-04-16
NOTE10 OK, 1 NOTE2026-03-28
OK11 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.0

README· In the repository, left out of the releaseVignettesNoNEWSYes · 67% structured · mentions 1.1.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 25includes a package overview page
Examples that run: 24%5 run in a plain check · 16 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 79%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 28%

How these are measured

Downloads

1.8K

CRAN downloads in the past year

Rank #19,747 · ~5/day · ~149/mo

Releases R versions

Daily download trend is not available in this view yet.

20530 days

67390 days

1.8K1 year

Compare downloads with other packages →

Also on249 r2u6 autocran

How downloads are counted

Repository

stmaletz/glmstarma ↗Account: stmaletz

0Stars

0Forks

0Open issues

0Open PRs

2Releases

48Commits

1Commit identities

48 commits · Last activity 2026-07-20

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Releases over time

2026-01-22 · 12026-07-20 · 2

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/stmaletz/glmstarma on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Coverage (1)

Coverage reporting

Reproducibility and dev environment (1)

data-raw/

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing glmSTARMA adds 13 packages (10 with compiled code, 12 MB of source tarballs). Heaviest: copula 3.5 MB, nloptr 2.1 MB, colorspace 2.0 MB.

Depends (1)

R >= 4.5.0

Imports (3)

Rcpp copula nloptr

LinkingTo (4)

Rcpp RcppArmadillo roptim nloptr

Suggests (4)

Matrixtestthat spdep withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Steffen Maletz

Author, Maintainer since 1.0.0 (2026)

Konstantinos Fokianos

Author

Roland Fried

Author

Valerie Weismann

Contributor

Releases (2)

Pick two releases to compare their code metrics.

1.1.0Latest
record
2026-07-19 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.0
record
2026-01-26
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-01-26
Total releases: 2 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.5.0
Download size: 137 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("glmSTARMA")

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

It points to 10.48550/arxiv.2607.08276.

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 glmSTARMA version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →