<?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>A Framework for Data-Driven Stochastic Disease Spread
Simulations</dc:title>
  <dc:title>R package SimInf version 10.1.0</dc:title>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Provides an efficient and very flexible framework to
    conduct data-driven epidemiological modeling in realistic large
    scale disease spread simulations. The framework integrates
    infection dynamics in subpopulations as continuous-time Markov
    chains using the Gillespie stochastic simulation algorithm and
    incorporates available data such as births, deaths and movements
    as scheduled events at predefined time-points. Using C code for
    the numerical solvers and 'OpenMP' (if available) to divide work
    over multiple processors ensures high performance when simulating
    a sample outcome. One of our design goals was to make the package
    extendable and enable usage of the numerical solvers from other R
    extension packages in order to facilitate complex epidemiological
    research. The package contains template models and can be extended
    with user-defined models. For more details see the paper by
    Widgren, Bauer, Eriksson and Engblom (2019)
    &lt;doi:10.18637/jss.v091.i12&gt;. The package also provides
    functionality to fit models to time series data using the
    Approximate Bayesian Computation Sequential Monte Carlo
    ('ABC-SMC') algorithm of Toni and others (2009)
    &lt;doi:10.1098/rsif.2008.0172&gt; or the Particle Markov Chain Monte
    Carlo ('PMCMC') algorithm of 'Andrieu' and others (2010)
    &lt;doi:10.1111/j.1467-9868.2009.00736.x&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0)</dc:relation>
  <dc:relation>Imports: digest, graphics, grDevices, MASS, methods, stats, utils,
Matrix (&gt;= 1.3-0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Stefan Widgren &lt;stefan.widgren@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Stefan Widgren [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-5745-2284&gt;),
  Robin Eriksson [aut] (ORCID: &lt;https://orcid.org/0000-0002-4291-712X&gt;),
  Stefan Engblom [aut] (ORCID: &lt;https://orcid.org/0000-0002-3614-1732&gt;),
  Pavol Bauer [aut] (ORCID: &lt;https://orcid.org/0000-0003-4328-7171&gt;),
  Thomas Rosendal [ctb] (ORCID: &lt;https://orcid.org/0000-0002-6576-9668&gt;),
  Ivana Rodriguez Ewerlöf [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-9678-9813&gt;),
  Attractive Chaos [cph] (Author of 'kvec.h'.)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-11-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SimInf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SimInf</dc:identifier>
</oai_dc:dc>