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, ).


Reference manual

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install.packages("MuFiMeshGP")

0.0.1 by Romain Boutelet, a year ago


Browse source code at https://github.com/cran/MuFiMeshGP


Authors: Romain Boutelet [aut, cre] , Chih-Li Sung [aut]


Documentation:   PDF Manual  


LGPL (>= 2) license


Imports lhs, parallel, methods, Rcpp

Linking to Rcpp, RcppArmadillo


See at CRAN