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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1 |
rolling linux/jammy R-4.5 | MuFiMeshGP_0.0.1.tar.gz |
234.3 KiB |
0.0.1 |
rolling linux/noble R-4.5 | MuFiMeshGP_0.0.1.tar.gz |
236.6 KiB |
0.0.1 |
rolling source/ R- | MuFiMeshGP_0.0.1.tar.gz |
28.1 KiB |
0.0.1 |
latest linux/jammy R-4.5 | MuFiMeshGP_0.0.1.tar.gz |
234.3 KiB |
0.0.1 |
latest linux/noble R-4.5 | MuFiMeshGP_0.0.1.tar.gz |
236.6 KiB |
0.0.1 |
latest source/ R- | MuFiMeshGP_0.0.1.tar.gz |
28.1 KiB |
0.0.1 |
2026-04-26 source/ R- | MuFiMeshGP_0.0.1.tar.gz |
28.1 KiB |
0.0.1 |
2026-04-23 source/ R- | MuFiMeshGP_0.0.1.tar.gz |
28.1 KiB |
0.0.1 |
2026-04-09 windows/windows R-4.5 | MuFiMeshGP_0.0.1.zip |
554.9 KiB |