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 |
| 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:
Downloads:
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