<?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>Gauss - Dantzig Selector: Aggregation over Random Models</dc:title>
  <dc:title>R package GDSARM version 0.1.1</dc:title>
  <dc:description>The method aims to identify important factors in screening experiments by aggregation over random models as studied in Singh and Stufken (2022) &lt;doi:10.48550/arXiv.2205.13497&gt;. This package provides functions to run the Gauss-Dantzig selector on screening experiments when interactions may be affecting the response. Currently, all functions require each factor to be at two levels coded as +1 and -1. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: lpSolve</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Rakhi Singh &lt;agrakhi@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rakhi Singh [cre, aut] (ORCID: &lt;https://orcid.org/0000-0003-3469-295X&gt;),
  John Stufken [aut] (ORCID: &lt;https://orcid.org/0000-0001-9026-3610&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-07-13</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GDSARM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GDSARM</dc:identifier>
</oai_dc:dc>
