hSDM: Hierarchical Bayesian Species Distribution Models

User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.

Version: 1.4.4
Imports: coda
Suggests: knitr, raster, sp, rmarkdown, bookdown
Published: 2023-09-06
Author: Ghislain Vieilledent ORCID iD [aut, cre], Matthieu Autier [ctb], Alan E. Gelfand [ctb], Jérôme Guélat [ctb], Marc Kéry [ctb], Andrew M. Latimer [ctb], Cory Merow [ctb], Frédéric Mortier [ctb], John A. Silander Jr. [ctb], Adam M. Wilson [ctb], Shanshan Wu [ctb], CIRAD [cph, fnd]
Maintainer: Ghislain Vieilledent <ghislain.vieilledent at cirad.fr>
BugReports: https://github.com/ghislainv/hSDM/issues/
License: GPL-3
URL: https://ecology.ghislainv.fr/hSDM/, https://github.com/ghislainv/hSDM/
NeedsCompilation: yes
SystemRequirements: GNU GSL
Materials: README NEWS
CRAN checks: hSDM results

Documentation:

Reference manual: hSDM.pdf
Vignettes: Introduction to hSDM
Publications

Downloads:

Package source: hSDM_1.4.4.tar.gz
Windows binaries: r-devel: hSDM_1.4.4.zip, r-release: hSDM_1.4.4.zip, r-oldrel: hSDM_1.4.4.zip
macOS binaries: r-release (arm64): hSDM_1.4.4.tgz, r-oldrel (arm64): hSDM_1.4.4.tgz, r-release (x86_64): hSDM_1.4.4.tgz
Old sources: hSDM archive

Linking:

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