<?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>Time Series Analysis Library</dc:title>
  <dc:title>R package TSEAL version 0.1.5</dc:title>
  <dc:description>The library allows to perform a multivariate time series
    classification based on the use of Discrete Wavelet Transform for
    feature extraction, a step wise discriminant to select the most
    relevant features and finally, the use of a linear or quadratic
    discriminant for classification. Note that all these steps can be done
    separately which allows to implement new steps.  Velasco, I., Sipols,
    A., de Blas, C. S., Pastor, L., &amp; Bayona, S. (2023)
    &lt;doi:10.1186/S12938-023-01079-X&gt;.  Percival, D. B., &amp; Walden, A. T.
    (2000,ISBN:0521640687).  Maharaj, E. A., &amp; Alonso, A. M. (2014)
    &lt;doi:10.1016/j.csda.2013.09.006&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0)</dc:relation>
  <dc:relation>Imports: bigmemory, caret, checkmate, magrittr, MASS, methods,
parallel, parallelly, statcomp, stats, utils, waveslim, wdm</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, spelling, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Iván Velasco &lt;ivan.velasco@urjc.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Iván Velasco [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-2314-5670&gt;)</dc:contributor>
  <dc:rights>Artistic-2.0</dc:rights>
  <dc:date>2026-03-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TSEAL</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TSEAL</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
