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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 |
| Reference manual: | MuFiMeshGP.html , MuFiMeshGP.pdf |
| Package source: | MuFiMeshGP_0.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): MuFiMeshGP_0.0.1.tgz, r-oldrel (x86_64): MuFiMeshGP_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.