<?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>Assumption-Lean and Data-Adaptive Post-Prediction Inference</dc:title>
  <dc:title>R package POPInf version 1.0.0</dc:title>
  <dc:description>Implementation of assumption-lean and data-adaptive post-prediction inference (POPInf), for valid and efficient statistical inference based on data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023) &lt;arXiv:2311.14220&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0),</dc:relation>
  <dc:relation>Imports: randomForest, MASS</dc:relation>
  <dc:creator>Jiacheng Miao &lt;jiacheng.miao@wisc.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jiacheng Miao [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-4524-7408&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-02-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=POPInf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.POPInf</dc:identifier>
</oai_dc:dc>