Reference

Package Package description
hSDM-package hSDM	hierarchical Bayesian species distribution models
Data Data available in hSDM and used in examples
altitude	Virtual altitudinal data
data.Kery2010	Count data for the Willow tit (from Kéry and Royle 2010)
datacells.Latimer2006	Data of presence-absence (from Latimer et al. 2006)
neighbors.Latimer2006	Neighborhood data (from Latimer et al. 2006)
frogs	Counts of the number of frogs in a water body
cfr.env	Environmental data for South Africa's Cap Floristic Region
punc10	Occurrence data for Protea punctata Meisn. in the Cap Floristic Region
Occurrence Functions for occurrence (presence/absence) data
hSDM.binomial()	Binomial logistic regression model
hSDM.binomial.iCAR()	Binomial logistic regression model with CAR process
hSDM.siteocc()	Site occupancy model
hSDM.siteocc.iCAR()	Site-occupancy model with CAR process
Count Functions for count (abundance) data
hSDM.poisson()	Poisson log regression model
hSDM.poisson.iCAR()	Poisson log regression model with CAR process
hSDM.Nmixture.K()	N-mixture model with K, the maximal theoretical abundance
hSDM.Nmixture()	N-mixture model
hSDM.Nmixture.iCAR()	N-mixture model with CAR process
Zero-Inflation Functions for zero-inflated data
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
Miscellaneous Miscellaneous functions
logit() inv.logit()	Generalized logit and inverse logit function
Predict S3 method to predict from an hSDM model
predict(<hSDM>)	Predict method for models fitted with hSDM