<?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>A Collection of Methods for Singular Spectrum Analysis</dc:title>
  <dc:title>R package Rssa version 1.1</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Methods and tools for Singular Spectrum Analysis including decomposition,
             forecasting and gap-filling for univariate and multivariate time series.
             General description of the methods with many examples can be found in the book
             Golyandina (2018, &lt;doi:10.1007/978-3-662-57380-8&gt;).
             See 'citation("Rssa")' for details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1), svd (&gt;= 0.4), forecast</dc:relation>
  <dc:relation>Imports: lattice, methods</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 0.7), RSpectra, PRIMME, irlba</dc:relation>
  <dc:creator>Anton Korobeynikov &lt;anton@korobeynikov.info&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Anton Korobeynikov [aut, cre],
  Alex Shlemov [aut],
  Konstantin Usevich [aut],
  Nina Golyandina [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-09-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Rssa</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Rssa</dc:identifier>
</oai_dc:dc>
