![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Up]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| hSDM-package | hierarchical Bayesian species distribution models |
| hSDM | hierarchical Bayesian species distribution models |
| hSDM.binomial | The 'hSDM.binomial' function performs a Binomial logistic regression model in a Bayesian framework. |
| hSDM.binomial.iCAR | The 'hSDM.binomial.iCAR' function performs a Binomial logistic regression model in a hierarchical Bayesian framework. The suitability process includes a spatial correlation process. The spatial correlation is modelled using an intrinsic CAR model. |
| hSDM.hierarchical.binomial | The 'hSDM.hierarchical.binomial' function can be used to model species distribution including different processes in a hierarchical Bayesian framework: (i) a Bernoulli suitability process (refering to environmental suitability) which takes into account the spatial dependence of the observations, (ii) an alteration process (refering to anthropogenic disturbances), and (iii) a Binomial observability process (refering to various ecological and methodological issues explaining the species presence). The model reduces to a ZIB (Zero-Inflated Binomial) model with spatial dependence if the alteration is set to zero. |
| hSDM.hierarchical.poisson | The 'hSDM.hierarchical.poisson' function can be used to model species distribution including different processes in a hierarchical Bayesian framework: (i) a Bernoulli suitability process (refering to environmental suitability) which takes into account the spatial dependence of the observations, (ii) an alteration process (refering to anthropogenic disturbances), and (iii) a Poisson observability process (refering to various ecological and methodological issues explaining the species abundance). The model reduces to a ZIP (Zero-Inflated Poisson) model with spatial dependence if the alteration is set to zero. |
| hSDM.poisson | The 'hSDM.poisson' function performs a Poisson regression in a Bayesian framework. |
| hSDM.poisson.iCAR | The 'hSDM.poisson.iCAR' function performs a Poisson regression in a hierarchical Bayesian framework. The suitability process includes a spatial correlation process. The spatial correlation is modelled using an intrinsic CAR model. |
| inv.logit | Generalized logit and inverse logit function |
| logit | Generalized logit and inverse logit function |