predict.hSDM: Predict method for models fitted with hSDM

In hSDM: Hierarchical Bayesian Species Distribution Models

Predict method for models fitted with hSDM

Description

Predicted values for models fitted with hSDM

Usage

## S3 method for class 'hSDM'
predict(object,newdata=NULL,type="mean",probs=c(0.025,0.975),...)

Arguments

object	An object of class "hSDM".
newdata	An optional data frame in which to look for variables with which to predict. If omitted, the fitted values are used.
type	Type of prediction. Can be "mean" for predictive posterior mean, "quantile" for producing sample quantiles from the predictive posterior corresponding to the given probabilities (see probs argument) or "posterior" for the full predictive posterior for each prediction. Using "quantile" or "posterior" might lead to memory problem depending on the number of predictions and the number of samples for the hSDM model's parameters.
probs	Numeric vector of probabilities with values in [0,1] and used when type="quantile".
...	Further arguments passed to or from other methods.

Value

Return a vector for the predictive posterior mean when type="mean", a data-frame with the mean and quantiles when type="quantile" or an mcmc object (see coda package) with posterior distribution for each prediction when type="posterior".

Author(s)

Ghislain Vieilledent [e-mail]

See Also

hSDM

hSDM documentation built on Sept. 8, 2023, 6:08 p.m.