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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.

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: diffMeshGP_0.1.1.zip, r-release: diffMeshGP_0.1.1.zip, r-oldrel: diffMeshGP_0.1.1.zip
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:

Please use the canonical form https://CRAN.R-project.org/package=diffMeshGP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.