<?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>Implement Covariate-Adaptive Randomization</dc:title>
  <dc:title>R package covadap version 1.0.1</dc:title>
  <dc:subject>CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials)</dc:subject>
  <dc:description>Implementing seven Covariate-Adaptive Randomization to assign patients to two treatments. 
    Three of these procedures can also accommodate quantitative and mixed covariates. Given a set of covariates, the user can
    generate a single sequence of allocations or replicate the design multiple times by simulating the patients' covariate
    profiles. At the end, an extensive assessment of the performance of the randomization procedures is provided, calculating
    several imbalance measures. See Baldi Antognini A, Frieri R, Zagoraiou M and Novelli M (2022) &lt;doi:10.1007/s00362-022-01381-1&gt; for details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:creator>Rosamarie Frieri &lt;rosamarie.frieri2@unibo.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rosamarie Frieri [aut, cre],
  Marco Novelli [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-12-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=covadap</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.covadap</dc:identifier>
</oai_dc:dc>
