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PointedSDMs

2.1.5

Fit Models Derived from Point Processes to Species Distributions using 'inlabru'

1packages depend
6Kdownloads / year
23.4%test coverage
13/13checks pass

Overview

About
Maintained by Philip MostertFirst published 2022-06-1414 releasesCRAN page ↗GitHub ↗

Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models. Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking. We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them. There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions. An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) doi:10.1016/j.tree.2019.08.006.

Install

Health

CRAN checks
13OK
Slowest check: 10.8 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.29
23.4%
Coverage · measured lines
100%
Documentation · exports
15
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-14
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-05-07
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 558 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
54%
Documented parameters
95%
Return-value docs
64%
References docs
12%

Downloads

6K
CRAN downloads in the past year
Rank #11,215 · ~17/day · ~503/mo
Daily download trend is not available in this view yet.
22530 days
88790 days
6K1 year
Compare downloads with other packages →
Also on145 r2u

Repository

Repository
29Stars
6Forks
3Open issues
0Open PRs
4Releases
1,417Commits
44Contributors
1,417 commits · Last activity 2026-08-11 · +3.6% stars, 30d

Stars over time

2025-03-19 · 262026-07-25 · 29

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/philipmostert/pointedsdms on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (1)
RStudio project
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (6)
R >= 4.1statssfinlabruR6methods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.5Latest
    2026-02-18 · current release · diff ↗
  • 2.1.4
    2025-08-29 · diff ↗
  • unarchivedReturned to CRAN
    2025-08-29
  • archivedRemoved from CRAN
    2025-07-30
    required archived package 'blockCV'
  • R
    R 4.5.0 released · 2025-04-11
  • 2.1.3
    2025-01-13 · diff ↗
  • 2.1.2
    2024-08-22 · diff ↗
  • 2.1.0
    2024-07-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.2
    2024-02-02 · diff ↗
  • 1.3.1
    2023-10-10 · diff ↗
  • 1.3
    2023-08-10 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.1
    2023-02-07 · diff ↗
  • 1.2.0
    2023-01-16 · diff ↗
Show 5 earlier events
  • 1.1.1
    2022-09-05 · diff ↗
  • 1.1.0
    2022-08-31 · diff ↗
  • 1.0.6
    2022-06-15 · diff ↗
  • 1.0.5
    2022-06-14
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-06-14
Total releases
14 / 4 yrs
License
GPL (>= 3) OSI
Additional repositories
inla.r-inla-download.org
Minimum R
≥ 4.1
Bundled data
197 KB / 4 files
Download size
1.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PointedSDMs")
Mostert, P., & O'hara, B. (2026). PointedSDMs: Fit Models Derived from Point Processes to Species Distributions using 'inlabru' (Version 2.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.PointedSDMs

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PointedSDMs version 2.1.5 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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