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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=magi to link to this page.
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