<?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>Hodrick-Prescott Filter with Jumps</dc:title>
  <dc:title>R package jumps version 1.0</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>A set of functions to compute the Hodrick-Prescott (HP)
    filter with automatically selected jumps. The original
    HP filter extracts a smooth trend from a time series, and our version
    allows for a small number of automatically identified jumps.
    See Maranzano and Pelagatti (2024) &lt;doi:10.2139/ssrn.4896170&gt; for details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.10), stats, nloptr</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0), ggplot2, xts</dc:relation>
  <dc:creator>Matteo Pelagatti &lt;matteo.pelagatti@unimib.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matteo Pelagatti [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-1860-7535&gt;),
  Paolo Maranzano [aut, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-9228-2759&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-03-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=jumps</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.jumps</dc:identifier>
</oai_dc:dc>
