<?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>Power Analysis for a SMART Design</dc:title>
  <dc:title>R package smartsizer version 1.0.3</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>A set of tools for determining the necessary sample size
    in order to identify the optimal dynamic treatment regime
    in a sequential, multiple assignment, randomized trial (SMART). 
    Utilizes multiple comparisons with the best methodology 
    to adjust for multiple comparisons.
    Designed for an arbitrary SMART design. Please see Artman (2018) &lt;doi:10.1093/biostatistics/kxy064&gt; for more details.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0)</dc:relation>
  <dc:relation>Imports: MASS (&gt;= 7.3-47)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>William Artman &lt;William_Artman@URMC.Rochester.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>William Artman [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-01-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=smartsizer</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.smartsizer</dc:identifier>
</oai_dc:dc>
