<?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>Transformation-Based Regression under Dependent Truncation</dc:title>
  <dc:title>R package tranSurv version 1.2.4</dc:title>
  <dc:description>A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) &lt;doi:10.1198/016214504000001538&gt; or the regression coefficient estimates (Jones and Crowley, 1992) &lt;doi:10.2307/2336782&gt;. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: rootSolve, truncSP, survival, SQUAREM, methods</dc:relation>
  <dc:relation>Suggests: MASS, boot</dc:relation>
  <dc:creator>Sy Han (Steven) Chiou &lt;schiou@smu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Sy Han (Steven) Chiou [aut, cre],
  Jing Qian [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-09-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tranSurv</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tranSurv</dc:identifier>
</oai_dc:dc>