<?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>SSA Based Decomposition and Forecasting</dc:title>
  <dc:title>R package SSAforecast version 0.1.1</dc:title>
  <dc:description>Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). &lt;doi:10.1007/978-3-642-34913-3&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6)</dc:relation>
  <dc:relation>Imports: Rssa</dc:relation>
  <dc:creator>Rajeev Ranjan Kumar &lt;rrk.uasd@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Prabhat Kumar [aut, ctb],
  Girish Kumar Jha [aut, ths, ctb],
  Rajeev Ranjan Kumar [aut, ctb, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-09-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SSAforecast</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SSAforecast</dc:identifier>
</oai_dc:dc>
