Package: magi 1.2.4

Shihao Yang

magi: MAnifold-Constrained Gaussian Process Inference

Provides fast and accurate inference for the parameter estimation problem in Ordinary Differential Equations, including the case when there are unobserved system components. Implements the MAGI method (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>. A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) <doi:10.18637/jss.v109.i04>.

Authors:Shihao Yang [aut, cre], Samuel W.K. Wong [aut], S.C. Kou [ctb, cph]

magi_1.2.4.tar.gz
magi_1.2.4.tar.gz(r-4.5-noble)magi_1.2.4.tar.gz(r-4.4-noble)
magi_1.2.4.tgz(r-4.4-emscripten)magi_1.2.4.tgz(r-4.3-emscripten)
magi.pdf |magi.html✨
magi/json (API)

# Install 'magi' in R:
install.packages('magi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • FNdat - Dataset of noisy observations from the FitzHugh-Nagumo (FN) equations

On CRAN:

Conda:

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

openblascpp

3.67 score 47 scripts 267 downloads 23 exports 12 dependencies

Last updated 9 months agofrom:137fd1f7ba. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-linux-x86_64OKFeb 20 2025

Exports:calCovfnmodelDthetafnmodelDxfnmodelODEgpcovgpmeangpsmoothinggpsmoothllikhes1logmodelDthetahes1logmodelDxhes1logmodelODEhes1modelDthetahes1modelDxhes1modelODEis.magioutputmagioutputMagiPosteriorMagiSolverptransmodelDthetaptransmodelDxptransmodelODEsetDiscretizationtestDynamicalModel

Dependencies:BHclideSolvegluegridBasegridExtragtablelifecycleRcppRcppArmadillorlangroptim

magi-vignette

Rendered frommagi-vignette.Rmdusingknitr::rmarkdownon Feb 20 2025.

Last update: 2024-05-06
Started: 2021-07-27