hSDM: Hierarchical Bayesian Species Distribution Models

User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer et al. 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: 1.4.1
Imports: coda
Suggests: knitr, raster, sp, rmarkdown, bookdown
Published: 2019-05-12
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 | file LICENSE
URL: https://ecology.ghislainv.fr/hSDM, https://github.com/ghislainv/hSDM
NeedsCompilation: yes
Materials: README
CRAN checks: hSDM results

Downloads:

Reference manual: hSDM.pdf
Vignettes: Introduction to hSDM
Publications
Package source: hSDM_1.4.1.tar.gz
Windows binaries: r-devel: hSDM_1.4.1.zip, r-release: hSDM_1.4.1.zip, r-oldrel: hSDM_1.4.1.zip
OS X binaries: r-release: hSDM_1.4.1.tgz, r-oldrel: hSDM_1.4.1.tgz
Old sources: hSDM archive

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