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.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'))
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 150 downloads 4 exports 3 dependencies

Last updated from:a2b6b62f3e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK135
linux-devel-x86_64OK127
source / vignettesOK160
linux-release-arm64OK136
linux-release-x86_64OK150
wasm-releaseOK117

Exports:cov_genIMSPE_ALMuFiMeshGPregF_gen

Dependencies:lhsRcppRcppArmadillo