<?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>The BETS Model for Early Epidemic Data</dc:title>
  <dc:title>R package bets.covid19 version 1.0.0</dc:title>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Implements likelihood inference for early epidemic analysis. BETS is short for the four key epidemiological events being modeled: Begin of exposure, End of exposure, time of Transmission, and time of Symptom onset. The package contains a dataset of the trajectory of confirmed cases during the coronavirus disease (COVID-19) early outbreak. More detail of the statistical methods can be found in Zhao et al. (2020) &lt;arXiv:2004.07743&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0),</dc:relation>
  <dc:relation>Imports: stats, rootSolve, parallel</dc:relation>
  <dc:creator>Qingyuan Zhao &lt;qyzhao@statslab.cam.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Qingyuan Zhao [aut, cre],
  Nianqiao Ju [aut]</dc:contributor>
  <dc:rights>CC BY 4.0</dc:rights>
  <dc:date>2020-05-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bets.covid19</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bets.covid19</dc:identifier>
</oai_dc:dc>