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CRAN: Package magi

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] (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:

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