<?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>Level-Dependent Cross-Validation Thresholding</dc:title>
  <dc:title>R package CVThresh version 1.1.2</dc:title>
  <dc:description>The level-dependent cross-validation method is implemented
        for the selection of thresholding
        value in wavelet shrinkage. This procedure is implemented
        by coupling a conventional cross validation with an
        imputation method due to a limitation of data length,
        a power of 2. It can be easily applied to classical
        leave-one-out and k-fold cross validation.
        Since the procedure is computationally fast,
        a level-dependent cross validation can be performed for
        wavelet shrinkage of various data such as a data
        with correlated errors.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.15.1), wavethresh (&gt;= 4.6.1), EbayesThresh (&gt;= 1.3.2)</dc:relation>
  <dc:creator>Donghoh Kim &lt;donghoh.kim@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Donghoh Kim &lt;donghoh.kim@gmail.com&gt;,
        Hee-Seok Oh &lt;heeseok@stats.snu.ac.kr&gt;</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2022-05-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CVThresh</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CVThresh</dc:identifier>
</oai_dc:dc>
