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:
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