<?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>Detection of Outliers in Time Series</dc:title>
  <dc:title>R package tsoutliers version 0.6-10</dc:title>
  <dc:subject>CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection)</dc:subject>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Detection of outliers in time series following the 
    Chen and Liu (1993) &lt;DOI:10.2307/2290724&gt; procedure. 
    Innovational outliers, additive outliers, level shifts, 
    temporary changes and seasonal level shifts are considered.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: forecast, stats</dc:relation>
  <dc:creator>Javier López-de-Lacalle &lt;javlacalle@yahoo.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Javier López-de-Lacalle &lt;javlacalle@yahoo.es&gt;</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-02-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tsoutliers</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tsoutliers</dc:identifier>
</oai_dc:dc>
