The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: |
1.2.4 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
Rcpp (≥ 1.0.6), gridExtra, gridBase, grid, methods, deSolve |
| LinkingTo: |
Rcpp, RcppArmadillo, BH, roptim |
| Suggests: |
testthat, mvtnorm, covr, knitr, MASS, rmarkdown, markdown |
| Published: |
2024-06-22 |
| DOI: |
10.32614/CRAN.package.magi |
| Author: |
Shihao Yang  [aut,
cre],
Samuel W.K. Wong
[aut],
S.C. Kou [ctb, cph] (Contributor of MAGI method development) |
| Maintainer: |
Shihao Yang <shihao.yang at isye.gatech.edu> |
| License: |
MIT + file LICENSE |
| URL: |
https://doi.org/10.18637/jss.v109.i04 |
| NeedsCompilation: |
yes |
| Citation: |
magi citation info |
| Materials: |
README |
| In views: |
DifferentialEquations |
| CRAN checks: |
magi results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=magi
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.