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

MuFiMeshGP_0.0.1.tar.gz
MuFiMeshGP_0.0.1.zip(r-4.7-x86_64)MuFiMeshGP_0.0.1.zip(r-4.7-arm64)MuFiMeshGP_0.0.1.zip(r-4.6-x86_64)MuFiMeshGP_0.0.1.zip(r-4.6-arm64)
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✨
DESCRIPTION
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'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 1 scripts 185 downloads 4 exports 3 dependencies

Last updated from:a2b6b62f3e. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK121
source / vignettesOK182
linux-release-arm64OK117
linux-release-x86_64OK123
windows-devel-arm64OK258
windows-devel-x86_64OK163
windows-release-arm64OK246
windows-release-x86_64OK91
wasm-releaseOK108

Exports:cov_genIMSPE_ALMuFiMeshGPregF_gen

Dependencies:lhsRcppRcppArmadillo