diffMeshGP: Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model

This R function implements the nonstationary Kriging model proposed by Tuo, Wu and Yu (2014) <DOI:10.1080/00401706.2013.842935> for analyzing multi-fidelity computer outputs. This function computes the maximum likelihood estimates for the model parameters as well as the predictive means and variances of the exact solution (i.e., the conceptually highest fidelity).

Getting started

Package details

AuthorWenjia Wang, Rui Tuo, and C. F. Jeff Wu
MaintainerWenjia Wang <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("diffMeshGP")

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diffMeshGP documentation built on May 30, 2017, 4:36 a.m.