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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "magi" in publications use:'
type: software
license: MIT
title: 'magi: MAnifold-Constrained Gaussian Process Inference'
version: 1.2.4
doi: 10.18637/jss.v109.i04
identifiers:
- type: doi
  value: 10.32614/CRAN.package.magi
abstract: 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) <https://doi.org/10.1073/pnas.2020397118>.
  A user guide is provided by the accompanying software paper Wong, Yang, and Kou
  (2024) <https://doi.org/10.18637/jss.v109.i04>.
authors:
- family-names: Yang
  given-names: Shihao
  email: shihao.yang@isye.gatech.edu
  orcid: https://orcid.org/0000-0003-3910-4969
- family-names: Wong
  given-names: Samuel W.K.
  orcid: https://orcid.org/0000-0002-7325-7267
preferred-citation:
  type: article
  title: 'magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data
    via Manifold-Constrained Gaussian Processes'
  authors:
  - family-names: Wong
    given-names: Samuel W. K.
    email: samuel.wong@uwaterloo.ca
  - family-names: Yang
    given-names: Shihao
    email: shihao.yang@isye.gatech.edu
    orcid: https://orcid.org/0000-0003-3910-4969
  - family-names: Kou
    given-names: S. C.
    email: kou@stat.harvard.edu
  journal: Journal of Statistical Software
  year: '2024'
  volume: '109'
  issue: '4'
  doi: 10.18637/jss.v109.i04
  start: '1'
  end: '47'
repository: https://CRAN.R-project.org/package=magi
url: https://doi.org/10.18637/jss.v109.i04
date-released: '2024-06-21'
contact:
- family-names: Yang
  given-names: Shihao
  email: shihao.yang@isye.gatech.edu
  orcid: https://orcid.org/0000-0003-3910-4969