<?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>Intermittent Time Series Forecasting</dc:title>
  <dc:title>R package tsintermittent version 1.10</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Time series methods for intermittent demand forecasting. Includes Croston's method and its variants (Moving Average, SBA), and the TSB method. Users can obtain optimal parameters on a variety of loss functions, or use fixed ones (Kourenztes (2014) &lt;doi:10.1016/j.ijpe.2014.06.007&gt;). Intermittent time series classification methods and iMAPA that uses multiple temporal aggregation levels are also provided (Petropoulos &amp; Kourenztes (2015) &lt;doi:10.1057/jors.2014.62&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: MAPA, parallel</dc:relation>
  <dc:creator>Nikolaos Kourentzes &lt;nikolaos@kourentzes.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nikolaos Kourentzes [cre, aut] (ORCID:
    &lt;https://orcid.org/0000-0003-0211-5218&gt;),
  Fotios Petropoulos [ctb] (ORCID:
    &lt;https://orcid.org/0000-0003-3039-4955&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2022-07-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tsintermittent</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tsintermittent</dc:identifier>
</oai_dc:dc>
