CGGP

CGGP-package

The CGGP package implements the method presented in Plumlee et al. (2019).

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.

Collin Erickson

Composite Grid Gaussian Processes

Matthew Plumlee

CGGP function

The CGGP functions: CGGPcreate, CGGPfit, CGGPappend, and CGGPpred

CGGP: CGGP: A package for running sparse grid computer experiments

Description

Arguments

CGGP functions