Including Known Interactions in Species Distribution Models
Overview
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.
- Correct bug about Orcid codes
From NEWS.md in the release
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Health
- OK13 OK2026-09-09
- ERROR12 OK, 1 ERROR2026-09-04
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-29
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- ERROR12 OK, 1 ERROR2026-07-27
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 25 (1 internal)includes a package overview page
- Examples that run
- 100%22 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 16%
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GitHub Pages site last deployed 2024-06-24
pkgdown site last built 2023-09-18, before release 1.1-5 (2024-06-24)
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1-5Latest
- RR 4.4.0 released · 2024-04-24
- 1.1-4
- RR 4.3.0 released · 2023-04-21
- 1.1-3
- 1.1-12022-11-25
- RR 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
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