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: | 1.1-5 |
| 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: | 2024-06-24 |
| DOI: | 10.32614/CRAN.package.webSDM |
| Author: | Giovanni Poggiato [aut, cre, cph], Jérémy Andréoletti [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 |
| 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_1.1-5.tar.gz |
| Windows binaries: | r-devel: webSDM_1.1-5.zip, r-release: webSDM_1.1-5.zip, r-oldrel: webSDM_1.1-5.zip |
| macOS binaries: | r-release (arm64): webSDM_1.1-5.tgz, r-oldrel (arm64): webSDM_1.1-5.tgz, r-release (x86_64): webSDM_1.1-5.tgz, r-oldrel (x86_64): webSDM_1.1-5.tgz |
| Old sources: | webSDM archive |
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