<?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>Corbae-Ouliaris Frequency Domain Filtering</dc:title>
  <dc:title>R package corbouli version 0.1.5</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Corbae-Ouliaris frequency domain filtering. According to 
             Corbae and Ouliaris (2006) &lt;doi:10.1017/CBO9781139164863.008&gt;,
             this is a solution for extracting cycles from time series, like
             business cycles etc. when filtering. This method is valid for both
             stationary and non-stationary time series.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: Rfast, Rfast2, knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Christos Adam &lt;econp266@econ.soc.uoc.gr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Christos Adam [aut, cre] (ORCID:
    &lt;https://orcid.org/0009-0003-3244-7034&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-06-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=corbouli</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.corbouli</dc:identifier>
</oai_dc:dc>
