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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>.
| Version: |
1.2.2 |
| 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: |
2023-04-25 |
| 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://arxiv.org/abs/2203.06066 |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
DifferentialEquations |
| CRAN checks: |
magi results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=magi
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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.
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