R: Predict method for models fitted with hSDM

predict.hSDM {hSDM}

R Documentation

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)