CGGP: Composite Grid Gaussian Processes

Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.

Package details

AuthorCollin Erickson [aut, cre], Matthew Plumlee [aut]
MaintainerCollin Erickson <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the CGGP package in your browser

Any scripts or data that you put into this service are public.

CGGP documentation built on June 15, 2019, 1:03 a.m.