MuFiMeshGP: Multi-Fidelity Emulator for Computer Experiments with Tunable Fidelity Levels

Multi-Fidelity emulator for data from computer simulations of the same underlying system but at different input locations and fidelity level, where both the input locations and fidelity level can be continuous. Active Learning can be performed with an implementation of the Integrated Mean Square Prediction Error (IMSPE) criterion developed by Boutelet and Sung (2025, <doi:10.48550/arXiv.2503.23158>).

Version:	0.0.1
Imports:	lhs, parallel, methods, Rcpp
LinkingTo:	Rcpp, RcppArmadillo
Published:	2025-09-01
DOI:	10.32614/CRAN.package.MuFiMeshGP
Author:	Romain Boutelet [aut, cre], Chih-Li Sung [aut]
Maintainer:	Romain Boutelet <boutelet at msu.edu>
License:	LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	MuFiMeshGP results

Documentation:

Reference manual:

MuFiMeshGP.html , MuFiMeshGP.pdf

Downloads:

Package source:	MuFiMeshGP_0.0.1.tar.gz
Windows binaries:	r-devel: MuFiMeshGP_0.0.1.zip, r-release: MuFiMeshGP_0.0.1.zip, r-oldrel: MuFiMeshGP_0.0.1.zip
macOS binaries:	r-release (arm64): MuFiMeshGP_0.0.1.tgz, r-oldrel (arm64): MuFiMeshGP_0.0.1.tgz, r-release (x86_64): MuFiMeshGP_0.0.1.tgz, r-oldrel (x86_64): MuFiMeshGP_0.0.1.tgz

Linking:

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