Use the model-estimated covariance parameters from gpdpgrow() or gmrdpgrow to predict the function at future time points.
This is the generic predict_functions method. See the following functions for the details about different data structures:
Object of class
Scalar denoting number of draws to take from posterior predictive for each unit.
further arguments passed to or from other methods.
predict_functions.gpdpgrowfor objects of class
predict_functions.gmrfdpgrowfor objects of class
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.