R Observatory: Metrics for stelfi version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

stelfi

1.0.2Package record

Hawkes and Log-Gaussian Cox Point Processes Using Template Model Builder

0packages depend

5.2Kdownloads / year

54.7%test coverage

13/13flavors OK

Overview

About

Maintained by Charlotte M. Jones-ToddCRAN page ↗GitHub ↗Issues ↗Declared funders: Marsden Fund 3723517 and Asian Office of Aerospace Research & Development FA2386-21-1-4028

Fit Hawkes and log-Gaussian Cox process models with extensions. Introduced in Hawkes (1971) doi:10.2307/2334319 a Hawkes process is a self-exciting temporal point process where the occurrence of an event immediately increases the chance of another. We extend this to consider self-inhibiting process and a non-homogeneous background rate. A log-Gaussian Cox process is a Poisson point process where the log-intensity is given by a Gaussian random field. We extend this to a joint likelihood formulation fitting a marked log-Gaussian Cox model. In addition, the package offers functionality to fit self-exciting spatiotemporal point processes. Models are fitted via maximum likelihood using 'TMB' (Template Model Builder). Where included 1) random fields are assumed to be Gaussian and are integrated over using the Laplace approximation and 2) a stochastic partial differential equation model, introduced by Lindgren, Rue, and Lindström. (2011) doi:10.1111/j.1467-9868.2011.00777.x, is defined for the field(s).

Changes in 1.0.2

Breaking changes

None

New features

None

Minor improvements and fixes

fixing CRAN NOTE for CRAN (re)release

From NEWS.md in the release

Install

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

install.packages("stelfi", 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("cmjt/stelfi")

Development version from cmjt/stelfi. 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-stelfi

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-stelfi

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-stelfi

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

Additional issues

linux-arm64

CRAN check page ↗

Slowest check: 9.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
NOTE12 OK, 1 NOTE2026-06-07

Show 2 earlier changesHide 2 earlier changes

OK12 OK2026-04-25
NOTE11 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.2

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.2Citation fileYes · cites a publication

Help pages: 28 (1 internal)includes a package overview page
Examples that run: 47%7 run in a plain check (1 of them under a condition) · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 94%
Documented parameters: 98%
Return-value docs: 88%
Help pages citing references: 14%

Vignettes (1)

stelfi HTML

How these are measured

Downloads

5.2K

CRAN downloads in the past year

Rank #5,818 · ~14/day · ~431/mo

Releases R versions

Daily download trend is not available in this view yet.

65230 days

1.4K90 days

5.2K1 year

Compare downloads with other packages →

Also on365 r2u3 autocran

How downloads are counted

Repository

cmjt/stelfi ↗Account: cmjt

10Stars

2Forks

0Open issues

0Open PRs

4Releases

403Commits

7Commit identities

License file reads as GPL-3.0 · 403 commits · Last activity 2026-10-21 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 10
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-03-12 · 82026-08-22 · 10

How these are measured

PracticesBeta

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

Checks run against github.com/cmjt/stelfi on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

Docs source (1)

GitHub Pages site last deployed 2025-09-15

Coverage (1)

Coverage reporting (Codecov)

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing stelfi adds 44 packages (28 with compiled code, 54 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.5.0

Imports (8)

TMB sf fmesherMatrixggplot2 (>= 3.4.3)dplyr gridExtra tidyr

LinkingTo (2)

TMB RcppEigen

Suggests (8)

testthat rmarkdownparallelspatstat.utils spatstat.geom hawkesbow covr knitr

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 (6)

Charlotte M. Jones-Todd

Charlotte Jones-Todd wrote and continued developmend of the main code.

Alec van Helsdingen

Author

Alec van Helsdingen wrote the Hawkes templates and extended self-exciting TMB templates

Joseph Reps

Contributor · added in 1.0.2

Joseph Reps worked on the spatio-temporal self-exciting TMB templates

Xiangjie Xue

Contributor

Xiangjie Xue worked the early spatio-temporal self-exciting TMB templates

Marsden Fund 3723517

Funder

Asian Office of Aerospace Research & Development FA2386-21-1-4028

Funder

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-09-15
1.0.2Latest
record
2025-09-15 · current release · diff ↗ ·
added 2 exports
compensator_differences, show_multivariate_hawkes
R
R 4.5.0 released · 2025-04-11
archivedRemoved from CRAN
2025-04-02
issues were not corrected in time
R
R 4.4.0 released · 2024-04-24
1.0.1
record
2023-10-24 · diff ↗
1.0.0
record
2023-09-28 · diff ↗ ·
removed 1 export
stelfi_load_inla

added 1 export
fit_mhawkes
R
R 4.3.0 released · 2023-04-21
0.0.2
record
2023-04-06 · diff ↗
0.0.1
record
2022-11-03
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-11-03
Total releases: 5 / 4 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.5.0
Bundled data: 892 KB / 11 files
Download size: 966 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("stelfi")

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

It points to 10.1002/ece3.11005.

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 stelfi version 1.0.2 [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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