<?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>Estimation in Reducible Stochastic Differential Equations</dc:title>
  <dc:title>R package resde version 1.1</dc:title>
  <dc:subject>CRAN Task View: DifferentialEquations (https://CRAN.R-project.org/view=DifferentialEquations)</dc:subject>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Maximum likelihood estimation for univariate reducible
 stochastic differential equation models. Discrete, possibly noisy
 observations, not necessarily evenly spaced in time. Can fit
 multiple individuals/units with global and local parameters, by
 fixed-effects or mixed-effects methods. Ref.: Garcia, O. (2019)
 "Estimating reducible stochastic differential equations by
 conversion to a least-squares problem", Computational Statistics
 34(1): 23-46, &lt;doi:10.1007/s00180-018-0837-4&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, Deriv, nlme, methods</dc:relation>
  <dc:relation>Suggests: knitr</dc:relation>
  <dc:creator>Oscar Garcia &lt;garcia@dasometrics.net&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Oscar Garcia [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-8995-1341&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-05-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=resde</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.resde</dc:identifier>
</oai_dc:dc>
