<?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>Ensemble Empirical Mode Decomposition and Its Variant Based ELM
Model</dc:title>
  <dc:title>R package EEMDelm version 0.1.1</dc:title>
  <dc:description>Forecasting univariate time series with different decomposition based Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK (2008). &lt;doi:10.1016/j.eneco.2008.05.003&gt;, Parida M, Behera MK, Nayak N (2018). &lt;doi:10.1109/ICSESP.2018.8376723&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: forecast, nnfor, Rlibeemd</dc:relation>
  <dc:creator>Girish Kumar Jha &lt;girish.stat@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Girish Kumar Jha [aut, cre],
  Kapil Choudhary [aut, ctb],
  Rajeev Ranjan Kumar [ctb],
  Ronit Jaiswal [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-08-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=EEMDelm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.EEMDelm</dc:identifier>
</oai_dc:dc>
