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.

Version:	0.1.1
Imports:	stats
Published:	2026-01-28
DOI:	10.32614/CRAN.package.diffMeshGP
Author:	Wenjia Wang [aut, cre], Rui Tuo [aut], C. F. Jeff Wu [aut]
Maintainer:	Wenjia Wang <1992wangwenjia at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	diffMeshGP results

Documentation:

Reference manual:

diffMeshGP.html , diffMeshGP.pdf

Downloads:

Package source:	diffMeshGP_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): diffMeshGP_0.1.1.tgz, r-oldrel (arm64): diffMeshGP_0.1.1.tgz, r-release (x86_64): diffMeshGP_0.1.1.tgz, r-oldrel (x86_64): diffMeshGP_0.1.1.tgz
Old sources:	diffMeshGP archive

Linking:

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