hSDM: hierarchical Bayesian species distribution models

hSDM is an R package for estimating parameters of hierarchical Bayesian species distribution models. 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
Imports: coda
Suggests: knitr, raster, sp
Published: 2014-07-02
Author: Ghislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr.
Maintainer: Ghislain Vieilledent <ghislain.vieilledent at cirad.fr>
License: GPL-3 | file LICENSE
URL: http://hSDM.sf.net
NeedsCompilation: yes
Citation: NA
Materials: NA
CRAN checks: hSDM results

Downloads:

Reference manual: hSDM.pdf
Package source: hSDM_1.4.tar.gz
Windows binaries: r-devel: hSDM_1.4.zip, r-release: hSDM_1.4.zip, r-oldrel: hSDM_1.4.zip
OS X Snow Leopard binaries: r-release: hSDM_1.4.tgz, r-oldrel: hSDM_1.4.tgz
OS X Mavericks binaries: r-release: hSDM_1.4.tgz
Old sources: hSDM archive