<?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>Number of Newly Discovered Rare Species Estimation</dc:title>
  <dc:title>R package RSE version 1.3</dc:title>
  <dc:description>A Bayesian-weighted estimator and two unweighted estimators are
 developed to estimate the number of newly found rare species in additional
 ecological samples. Among these methods, the Bayesian-weighted estimator
 and an unweighted (Chao-derived) estimator are of high accuracy and
 recommended for practical applications.
 Technical details of the proposed estimators have been well described
 in the following paper: Shen TJ, Chen YH (2018) A Bayesian
 weighted approach to predicting the number of newly discovered
 rare species. Conservation Biology, In press.</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Youhua Chen &lt;haydi@126.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Youhua Chen,Tsung-Jen Shen</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2018-11-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=RSE</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.RSE</dc:identifier>
</oai_dc:dc>
