<?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>Analysis of Survival Data under Graphical and Measurement Error
Models</dc:title>
  <dc:title>R package SurvGME version 0.1.0</dc:title>
  <dc:description>The estimation method proposed by Chen and Yi (2021) 
 &lt;doi:10.1111/biom.13331&gt; is extended to the analysis of survival data, 
 accommodating  commonly used survival models while accounting for measurement
 error and network structures among covariates.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: MASS, ncvreg, glmnet, survival, ahaz, GGally, network, sna,
scales</dc:relation>
  <dc:creator>Li-Pang Chen &lt;lchen723@nccu.edu.tw&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Li-Pang Chen [aut, cre],
  Grace Y. Yi [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-09-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SurvGME</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SurvGME</dc:identifier>
</oai_dc:dc>
