<?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>Time Series Prediction with PSF and Decomposition Methods (EMD
and EEMD)</dc:title>
  <dc:title>R package decomposedPSF version 0.2</dc:title>
  <dc:description>Predict future values with hybrid combinations of Pattern Sequence based
        Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA), Empirical Mode
        Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD) methods based
        hybrid methods.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: PSF, Rlibeemd, forecast, tseries</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Neeraj Bokde &lt;neerajdhanraj@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Neeraj Bokde</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2022-05-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=decomposedPSF</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.decomposedPSF</dc:identifier>
</oai_dc:dc>
