Hierarchical Bayesian Species Distribution Models

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Documentation for package ‘hSDM’ version 1.4.4

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

hSDM-package	hierarchical Bayesian species distribution models
altitude	Virtual altitudinal data
cfr.env	Environmental data for South Africa's Cap Floristic Region
data.Kery2010	Count data for the Willow tit (from Kéry and Royle 2010)
datacells.Latimer2006	Data of presence-absence (from Latimer et al. 2006)
frogs	Counts of the number of frogs in a water body
hSDM	hierarchical Bayesian species distribution models
hSDM.binomial	Binomial logistic regression model
hSDM.binomial.iCAR	Binomial logistic regression model with CAR process
hSDM.Nmixture	N-mixture model
hSDM.Nmixture.iCAR	N-mixture model with CAR process
hSDM.Nmixture.K	N-mixture model with K, the maximal theoretical abundance
hSDM.poisson	Poisson log regression model
hSDM.poisson.iCAR	Poisson log regression model with CAR process
hSDM.siteocc	Site occupancy model
hSDM.siteocc.iCAR	Site-occupancy model with CAR process
hSDM.ZIB	ZIB (Zero-Inflated Binomial) model
hSDM.ZIB.iCAR	ZIB (Zero-Inflated Binomial) model with CAR process
hSDM.ZIB.iCAR.alteration	ZIB (Zero-Inflated Binomial) model with CAR process taking into account site alteration
hSDM.ZIP	ZIP (Zero-Inflated Poisson) model
hSDM.ZIP.iCAR	ZIP (Zero-Inflated Poisson) model with CAR process
hSDM.ZIP.iCAR.alteration	ZIP (Zero-Inflated Poisson) model with CAR process taking into account site alteration
inv.logit	Generalized logit and inverse logit function
logit	Generalized logit and inverse logit function
neighbors.Latimer2006	Neighborhood data (from Latimer et al. 2006)
predict.hSDM	Predict method for models fitted with hSDM
punc10	Occurrence data for _Protea punctata_ Meisn. in the Cap Floristic Region