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<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>Boosting Method for High-Dimensional Error-Prone Data</dc:title>
  <dc:title>R package SIMEXBoost version 0.2.0</dc:title>
  <dc:description>Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) &lt;doi: 10.1007/s11222-023-10209-3&gt; and the accelerated failure time (AFT) model in Chen and Qiu (2023) &lt;doi: 10.1111/biom.13898&gt;. Some relevant references include Chen and Yi (2021) &lt;doi:10.1111/biom.13331&gt; and Hastie, Tibshirani, and Friedman (2008, ISBN:978-0387848570).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: MASS</dc:relation>
  <dc:creator>Bangxu Qiu &lt;1135427976@qq.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Bangxu Qiu [aut, cre],
  Li-Pang Chen [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-11-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SIMEXBoost</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SIMEXBoost</dc:identifier>
</oai_dc:dc>