<?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>Censored Quantile Regression &amp; Monotonicity-Respecting Restoring</dc:title>
  <dc:title>R package cequre version 1.5</dc:title>
  <dc:description>Perform censored quantile regression of Huang (2010) &lt;doi:10.1214/09-AOS771&gt;, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) &lt;doi:10.1080/01621459.2016.1149070&gt;. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) &lt;doi:10.1093/biomet/asm058&gt;, among others.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.8.0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, survival</dc:relation>
  <dc:creator>Yijian Huang &lt;yhuang5@emory.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yijian Huang &lt;yhuang5@emory.edu&gt;</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-06-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cequre</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cequre</dc:identifier>
</oai_dc:dc>