webSDM: Including Known Interactions in Species Distribution Models

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>.

Version: 1.1-4
Depends: R (≥ 3.5.0)
Imports: GGally, abind, bayesplot, brms, broom.mixed, dismo, dplyr, ggplot2, glmnet, gridExtra, igraph, jtools, rstanarm, rstantools, utils
Suggests: knitr, rmarkdown, reshape2, devtools, loo, randomForest, network, sna, scales, intergraph
Published: 2023-09-18
DOI: 10.32614/CRAN.package.webSDM
Author: Giovanni Poggiato ORCID iD [aut, cre, cph], Jérémy Andréoletti ORCID iD [aut]
Maintainer: Giovanni Poggiato <giov.poggiato at gmail.com>
BugReports: https://github.com/giopogg/webSDM/issues
License: GPL-3
URL: https://github.com/giopogg/webSDM, https://giopogg.github.io/webSDM/
NeedsCompilation: no
Materials: NEWS
CRAN checks: webSDM results [issues need fixing before 2024-06-30]


Reference manual: webSDM.pdf
Vignettes: Composite variables and biotic-abiotic interactions
Subtle and obvious differences between SDM and trophic SDM
Introduction to trophic SDM


Package source: webSDM_1.1-4.tar.gz
Windows binaries: r-devel: webSDM_1.1-4.zip, r-release: webSDM_1.1-4.zip, r-oldrel: webSDM_1.1-4.zip
macOS binaries: r-release (arm64): webSDM_1.1-4.tgz, r-oldrel (arm64): webSDM_1.1-4.tgz, r-release (x86_64): webSDM_1.1-4.tgz, r-oldrel (x86_64): webSDM_1.1-4.tgz
Old sources: webSDM archive


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