<?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>Computes Conformal p-Values</dc:title>
  <dc:title>R package conformalpvalue version 0.1.0</dc:title>
  <dc:description>Computes marginal conformal p-values using conformal prediction in binary classification tasks. Conformal prediction is a framework that augments machine learning algorithms with a measure of uncertainty, in the form of prediction regions that attain a user-specified level of confidence. This package specifically focuses on providing conformal p-values that can be used to assess the confidence of the classification predictions. For more details, see Tyagi and Guo (2023) &lt;https://proceedings.mlr.press/v204/tyagi23a.html&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: e1071, stats</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Chhavi Tyagi &lt;tyagi.chhavi2222@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Chhavi Tyagi [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=conformalpvalue/LICENSE)</dc:rights>
  <dc:date>2023-10-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=conformalpvalue</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.conformalpvalue</dc:identifier>
</oai_dc:dc>
