R: Hierarchical Bayesian Species Distribution Models

# Hierarchical Bayesian Species Distribution Models

## Documentation for package ‘hSDM’ version 1.4.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## 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