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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • FNdat - Dataset of noisy observations from the FitzHugh-Nagumo (FN) equations

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

23 exports 3.67 score 12 dependencies 47 scripts 293 downloads

Last updated 3 months agofrom:137fd1f7ba. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 23 2024
R-4.5-linux-x86_64OKSep 23 2024

Exports:calCovfnmodelDthetafnmodelDxfnmodelODEgpcovgpmeangpsmoothinggpsmoothllikhes1logmodelDthetahes1logmodelDxhes1logmodelODEhes1modelDthetahes1modelDxhes1modelODEis.magioutputmagioutputMagiPosteriorMagiSolverptransmodelDthetaptransmodelDxptransmodelODEsetDiscretizationtestDynamicalModel

Dependencies:BHclideSolvegluegridBasegridExtragtablelifecycleRcppRcppArmadillorlangroptim

magi-vignette

Rendered frommagi-vignette.Rmdusingknitr::rmarkdownon Sep 23 2024.

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