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: 1.0
Depends: coda
Published: 2012-12-04
Author: Ghislain Vieilledent, Andrew M. Latimer, Alan E. Gelfand, Cory Merow, Adam M. Wilson, Frederic Mortier and John A. Silander Jr.
Maintainer: Ghislain Vieilledent <ghislain.vieilledent at cirad.fr>
License: GPL-3 (see file LICENSE)
URL: http://hSDM.sf.net
NeedsCompilation: yes
Materials: README
CRAN checks: hSDM results


Reference manual: hSDM.pdf
Package source: hSDM_1.0.tar.gz
OS X binary: hSDM_1.0.tgz
Windows binary: hSDM_1.0.zip