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] (role: 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 [issues need fixing before 2025-10-23] |