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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
Browse package contents
Package details |
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| Author | Wenjia Wang, Rui Tuo, and C. F. Jeff Wu |
| Maintainer | Wenjia Wang <wenjiawang@gatech.edu> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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