<?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>Predict Epidemic Curves with Generalized SEIR Modeling</dc:title>
  <dc:title>R package genSEIR version 0.1.1</dc:title>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling to predict epidemic curves. The method is described in Peng et al. (2020) &lt;doi:10.1101/2020.02.16.20023465&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: pracma, minpack.lm, nlsr, ggplot2</dc:relation>
  <dc:creator>Selcuk Korkmaz &lt;selcukorkmaz@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Selcuk Korkmaz [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-4632-6850&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2021-07-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=genSEIR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.genSEIR</dc:identifier>
</oai_dc:dc>