<?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>State Space Modelling in 'R'</dc:title>
  <dc:title>R package statespacer version 0.5.0</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>A tool that makes estimating models in state space form 
    a breeze. See "Time Series Analysis by State Space Methods" by 
    Durbin and Koopman (2012, ISBN: 978-0-19-964117-8) for details 
    about the algorithms implemented.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6)</dc:relation>
  <dc:relation>Imports: Rdpack, stats, Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: datasets, graphics, knitr, numDeriv (&gt;= 2016.8-1.1), optimx
(&gt;= 2020-4.2), rmarkdown</dc:relation>
  <dc:creator>Dylan Beijers &lt;dylanbeijers@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Dylan Beijers [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=statespacer/LICENSE)</dc:rights>
  <dc:date>2023-01-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=statespacer</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.statespacer</dc:identifier>
</oai_dc:dc>
