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.

Install the latest version of this package by entering the following in R:
AuthorGhislain Vieilledent, Cory Merow, Jérôme Guélat, Andrew M. Latimer, Marc Kéry, Alan E. Gelfand, Adam M. Wilson, Frédéric Mortier and John A. Silander Jr.
Date of publication2014-07-02 09:33:09
MaintainerGhislain Vieilledent <ghislain.vieilledent@cirad.fr>
LicenseGPL-3 | file LICENSE

View on CRAN


altitude Man page
cfr.env Man page
datacells.Latimer2006 Man page
data.Kery2010 Man page
hSDM Man page
hSDM.binomial Man page
hSDM.binomial.iCAR Man page
hSDM.Nmixture Man page
hSDM.Nmixture.iCAR Man page
hSDM.poisson Man page
hSDM.poisson.iCAR Man page
hSDM.siteocc Man page
hSDM.siteocc.iCAR Man page
hSDM.ZIB Man page
hSDM.ZIB.iCAR Man page
hSDM.ZIB.iCAR.alteration Man page
hSDM.ZIP Man page
hSDM.ZIP.iCAR Man page
hSDM.ZIP.iCAR.alteration Man page
inv.logit Man page
logit Man page
neighbors.Latimer2006 Man page
punc10 Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.