<?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>Estimation in Dual Frame Surveys</dc:title>
  <dc:title>R package Frames2 version 0.2.1</dc:title>
  <dc:subject>CRAN Task View: OfficialStatistics (https://CRAN.R-project.org/view=OfficialStatistics)</dc:subject>
  <dc:description>Point and interval estimation in dual frame surveys. In contrast
    to classic sampling theory, where only one sampling frame is considered,
    dual frame methodology assumes that there are two frames available for
    sampling and that, overall, they cover the entire target population. Then,
    two probability samples (one from each frame) are drawn and information
    collected is suitably combined to get estimators of the parameter of
    interest.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: sampling, MASS, nnet</dc:relation>
  <dc:creator>David Molina &lt;dmolinam@ugr.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Antonio Arcos &lt;arcos@ugr.es&gt;, Maria del Mar Rueda &lt;mrueda@ugr.es&gt;,
    Maria Giovanna Ranalli &lt;giovanna.ranalli@stat.unipg.it&gt; and David Molina
    &lt;dmolinam@ugr.es&gt;</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2015-12-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=Frames2</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.Frames2</dc:identifier>
</oai_dc:dc>
