<?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>Partial Replacement Imputation Estimation for Missing Covariates</dc:title>
  <dc:title>R package misPRIME version 0.1.0</dc:title>
  <dc:description>Partial Replacement Imputation Estimation (PRIME) can overcome problems caused by missing covariates in additive partially linear model. PRIME conducts imputation and regression simultaneously with known and unknown model structure. More details can be referred to 
    Zishu Zhan, Xiangjie Li and Jingxiao Zhang. (2022) &lt;arXiv:2205.14994&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: splines, quadprog, MASS, stats</dc:relation>
  <dc:creator>Zishu Zhan &lt;zishu927@hotmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Zishu Zhan [aut, cre],
  Xiangjie Li [aut],
  Jingxiao Zhang [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-06-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=misPRIME</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.misPRIME</dc:identifier>
</oai_dc:dc>
