<?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>Subpopulation Treatment Effect Pattern Plot (STEPP)</dc:title>
  <dc:title>R package stepp version 3.2.7</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>A method to explore the treatment-covariate interactions in survival or generalized 
	linear model (GLM) for continuous, binomial and count data arising from two or more treatment 
	arms of a clinical trial. A permutation distribution approach to inference is implemented, 
	based on permuting the covariate values within each treatment group.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: methods, car, survival, splines</dc:relation>
  <dc:relation>Imports: rstudioapi, scales</dc:relation>
  <dc:creator>Wai-ki Yip &lt;yuser86@yahoo.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wai-ki Yip [aut, cre],
  Ann Lazar [ctb],
  David Zahrieh [ctb],
  Chip Cole [ctb],
  Ann Lazar [ctb],
  Marco Bonetti [ctb],
  Victoria Wang [ctb],
  William Barcella [ctb],
  Sergio Venturini [aut]
  Richard Gelber [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-06-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=stepp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.stepp</dc:identifier>
</oai_dc:dc>
