<?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>Estimate Cutpoints of Metric Variables in the Context of Cox
Regression</dc:title>
  <dc:title>R package cutpoint version 1.0.0</dc:title>
  <dc:description>Estimate one or two cutpoints of a metric or ordinal-scaled 
    variable in the multivariable context of survival data or 
    time-to-event data. Visualise the cutpoint estimation process using contour 
    plots, index plots, and spline plots. It is also possible to estimate 
    cutpoints based on the assumption of a U-shaped or inverted U-shaped 
    relationship between the predictor and the hazard ratio.
    Govindarajulu, U., and Tarpey, T. (2022) &lt;doi:10.1080/02664763.2020.1846690&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: graphics, magrittr, plotly, RcppAlgos, stats, survival, utils</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Jan Porthun &lt;jan.porthun@ntnu.no&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jan Porthun [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-4100-4361&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=cutpoint/LICENSE)</dc:rights>
  <dc:date>2025-05-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cutpoint</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cutpoint</dc:identifier>
  <dc:language>en-GB</dc:language>
</oai_dc:dc>
