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).
| Version: | 0.1.0 |
| Imports: | stats |
| Published: | 2017-05-12 |
| Author: | Wenjia Wang, Rui Tuo, and C. F. Jeff Wu |
| Maintainer: | Wenjia Wang <wenjiawang at gatech.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | diffMeshGP results |
| Reference manual: | diffMeshGP.pdf |
| Package source: | diffMeshGP_0.1.0.tar.gz |
| Windows binaries: | r-devel: diffMeshGP_0.1.0.zip, r-release: diffMeshGP_0.1.0.zip, r-oldrel: diffMeshGP_0.1.0.zip |
| macOS binaries: | r-release: diffMeshGP_0.1.0.tgz, r-oldrel: diffMeshGP_0.1.0.tgz |
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