<?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>Building Predictive Models with Stacking</dc:title>
  <dc:title>R package stacking version 0.2.1</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) &lt;doi:10.1101/2023.06.06.543970&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: caret, parallel</dc:relation>
  <dc:creator>Akio Onogi &lt;onogiakio@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Taichi Nukui [aut, cph],
  Tomohiro Ishibashi [aut, cph],
  Akio Onogi [aut, cre, cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=stacking/LICENSE)</dc:rights>
  <dc:date>2025-01-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=stacking</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.stacking</dc:identifier>
</oai_dc:dc>