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webSDM

1.1-5

Including Known Interactions in Species Distribution Models

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Giovanni PoggiatoFirst published 2022-11-254 releasesCRAN page ↗GitHub ↗

A collection of tools to fit and work with trophic Species Distribution Models. Trophic Species Distribution Models combine knowledge of trophic interactions with Bayesian structural equation models that model each species as a function of its prey (or predators) and environmental conditions. It exploits the topological ordering of the known trophic interaction network to predict species distribution in space and/or time, where the prey (or predator) distribution is unavailable. The method implemented by the package is described in Poggiato, Andréoletti, Pollock and Thuiller (2022) doi:10.22541/au.166853394.45823739/v1.

Install

Health

CRAN checks
13OK
Slowest check: 13.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
15
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
  • OK2026-07-29
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-27
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
16%

Downloads

2.2K
CRAN downloads in the past year
Rank #16,293 · ~6/day · ~186/mo
Daily download trend is not available in this view yet.
15430 days
64990 days
2.2K1 year
Compare downloads with other packages →
Also on103 r2u18 autocran

Repository

Repository
19Stars
2Forks
0Open issues
0Open PRs
2Releases
123Commits
2Contributors
123 commits · Last activity 2024-06-24 · 0% stars, 30d

Stars over time

2025-05-04 · 172026-07-07 · 19

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/giopogg/websdm on 2026-08-16.

CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Copyright holders (1)
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
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1-5Latest
    2024-06-24 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-4
    2023-09-18 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1-3
    2023-03-14 · diff ↗
  • 1.1-1
    2022-11-25
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-11-25
Total releases
4 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
13 KB / 3 files
Download size
1.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("webSDM")
Poggiato, G., & Andréoletti, J. (2024). webSDM: Including Known Interactions in Species Distribution Models (Version 1.1-5) [Computer software]. https://doi.org/10.32614/CRAN.package.webSDM

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 webSDM version 1.1-5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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