<?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>Variational Mode Decomposition Based Machine Learning Models</dc:title>
  <dc:title>R package VMDML version 0.1.1</dc:title>
  <dc:description>Application of Variational Mode Decomposition based different Machine Learning models for univariate time series forecasting. For method details see (i) K. Dragomiretskiy and D. Zosso (2014) &lt;doi:10.1109/TSP.2013.2288675&gt;; (ii)  Pankaj Das (2020) &lt;http://krishi.icar.gov.in/jspui/handle/123456789/44138&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: VMDecomp,forecast, e1071, randomForest, nnfor</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Pankaj Das &lt;pankaj.das2@icar.gov.in&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Pankaj Das [aut, cre],
  Girish Kumar Jha [aut],
  Tauqueer Ahmad [aut],
  Achal Lama [aut],
  Lampros Mouselimis [cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=VMDML/LICENSE)</dc:rights>
  <dc:date>2023-08-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=VMDML</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.VMDML</dc:identifier>
</oai_dc:dc>
