Package: MuFiMeshGP 0.0.1

Romain Boutelet
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>).
Authors:
MuFiMeshGP_0.0.1.tar.gz
MuFiMeshGP_0.0.1.tar.gz(r-4.7-arm64)MuFiMeshGP_0.0.1.tar.gz(r-4.7-x86_64)MuFiMeshGP_0.0.1.tar.gz(r-4.6-arm64)MuFiMeshGP_0.0.1.tar.gz(r-4.6-x86_64)
MuFiMeshGP_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MuFiMeshGP/json (API)
| # Install 'MuFiMeshGP' in R: |
| install.packages('MuFiMeshGP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a2b6b62f3e. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 135 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 160 | ||
| linux-release-arm64 | OK | 136 | ||
| linux-release-x86_64 | OK | 150 | ||
| wasm-release | OK | 117 |
Exports:cov_genIMSPE_ALMuFiMeshGPregF_gen
Dependencies:lhsRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generates the covariance matrix | cov_gen |
| IMSPE optimal design point search | IMSPE_AL |
| Prediction of the MuFiMeshGP emulator for any fidelity level. | MuFiMeshGP |
| predict.MuFiMeshGP | predict.MuFiMeshGP |
| Creates the regression function for the mean | regF_gen |
| update.MuFiMeshGP | update.MuFiMeshGP |