<?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>Small Area Estimation for Count Data</dc:title>
  <dc:title>R package saeeb version 0.1.0</dc:title>
  <dc:description>Provides small area estimation for count data type and gives option whether to use covariates in the estimation or not. By implementing Empirical Bayes (EB) Poisson-Gamma model, each function returns EB estimators and mean squared error (MSE) estimators for each area. The EB estimators without covariates are obtained using the model proposed by Clayton &amp; Kaldor (1987) &lt;doi:10.2307/2532003&gt;, the EB estimators with covariates are obtained using the model proposed by Wakefield (2006) &lt;doi:10.1093/biostatistics/kxl008&gt; and the MSE estimators are obtained using Jackknife method by Jiang et. al. (2002) &lt;doi:10.1214/aos/1043351257&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: COUNT (&gt;= 1.3.4), MASS, stats</dc:relation>
  <dc:creator>Rizki Ananda Fauziah &lt;rizkiananda133@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rizki Ananda Fauziah, Ika Yuni Wulansari</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2020-04-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=saeeb</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.saeeb</dc:identifier>
</oai_dc:dc>
