Get density predictions from a VAST model

This function quickly constructs a data frame with VAST density predictions matched to time and space. It also samples and provides upper and lower bounds (90%)

Usage

VASTpreds(streamvast, newdata, makeauc = T, nsims = 100, bias.correct = F)

Arguments

streamvast: A VAST model object
newdata: a data frame with all necessary columns over which to make predictions
makeauc: logical; should auc measures be calculated. Can turn off to save time.
nsims: interger; a number of simulated draws to make from the joint posterior
bias.correct: logical; should the poisson transformation bias be corrected; very slow

Value

A streamvast object with a dataframe of predictions added