Package: magi 1.2.4
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:
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')) |
- 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.
Last updated 6 months agofrom:137fd1f7ba. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
Exports:calCovfnmodelDthetafnmodelDxfnmodelODEgpcovgpmeangpsmoothinggpsmoothllikhes1logmodelDthetahes1logmodelDxhes1logmodelODEhes1modelDthetahes1modelDxhes1modelODEis.magioutputmagioutputMagiPosteriorMagiSolverptransmodelDthetaptransmodelDxptransmodelODEsetDiscretizationtestDynamicalModel
Dependencies:BHclideSolvegluegridBasegridExtragtablelifecycleRcppRcppArmadillorlangroptim