It takes a fitted SemiParSampleSel object produced by SemiParSampleSel() and produces predictions
for a new set of values of the model covariates or the original values used for the model fit.
Standard errors of predictions can be produced and are based on the posterior distribution of the model coefficients.
This function is a wrapper for predict.gam() in mgcv. Please see the documentation of mgcv for full details.
# S3 method for SemiParSampleSel
predict(object, eq, ...)SemiParSampleSel object as produced by SemiParSampleSel().predict.gam() in mgcv.SemiParSampleSel, aver, plot.SemiParSampleSel, summary.SemiParSampleSel