<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>MAnifold-Constrained Gaussian Process Inference</dc:title>
  <dc:title>R package magi version 1.2.5</dc:title>
  <dc:subject>CRAN Task View: DifferentialEquations (https://CRAN.R-project.org/view=DifferentialEquations)</dc:subject>
  <dc:description>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) &lt;doi:10.1073/pnas.2020397118&gt;.
    A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) &lt;doi:10.18637/jss.v109.i04&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.6), gridExtra, gridBase, grid, methods, deSolve</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo, BH, roptim</dc:relation>
  <dc:relation>Suggests: testthat, mvtnorm, covr, knitr, MASS, rmarkdown, markdown</dc:relation>
  <dc:creator>Shihao Yang &lt;shihao.yang@isye.gatech.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Shihao Yang [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-3910-4969&gt;),
  Samuel W.K. Wong [aut] (ORCID: &lt;https://orcid.org/0000-0002-7325-7267&gt;),
  S.C. Kou [ctb, cph] (role: Contributor of MAGI method development)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=magi/LICENSE)</dc:rights>
  <dc:date>2025-10-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=magi</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.magi</dc:identifier>
</oai_dc:dc>
