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MuFiMeshGP (version 0.0.1)

Multi-Fidelity Emulator for Computer Experiments with Tunable Fidelity Levels

Description

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, ).

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Version

Install

install.packages('MuFiMeshGP')

Monthly Downloads

130

Version

0.0.1

License

LGPL (>= 2)

Maintainer

Romain Boutelet

Last Published

September 1st, 2025

Functions in MuFiMeshGP (0.0.1)

IMSPE_AL

IMSPE optimal design point search
predict.MuFiMeshGP

predict.MuFiMeshGP
update.MuFiMeshGP

update.MuFiMeshGP
cov_gen

Generates the covariance matrix
MuFiMeshGP

Prediction of the MuFiMeshGP emulator for any fidelity level.
regF_gen

Creates the regression function for the mean