<?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>Gillespie's Stochastic Simulation Algorithm for Impatient People</dc:title>
  <dc:title>R package GillespieSSA2 version 0.3.0</dc:title>
  <dc:description>A fast, scalable, and versatile framework for
    simulating large systems with Gillespie's Stochastic Simulation
    Algorithm ('SSA').  This package is the spiritual successor to the
    'GillespieSSA' package originally written by Mario Pineda-Krch.
    Benefits of this package include major speed improvements (&gt;100x),
    easier to understand documentation, and many unit tests that try to
    ensure the package works as intended. Cannoodt and Saelens et al. (2021) 
    &lt;doi:10.1038/s41467-021-24152-2&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3)</dc:relation>
  <dc:relation>Imports: assertthat, dplyr, dynutils, Matrix, methods, purrr, Rcpp (&gt;=
0.12.3), RcppXPtrUtils, readr, rlang, stringr, tidyr</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: covr, ggplot2, GillespieSSA, knitr, rmarkdown, testthat (&gt;=
2.1.0)</dc:relation>
  <dc:creator>Robrecht Cannoodt &lt;rcannood@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Robrecht Cannoodt [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-3641-729X&gt;),
  Wouter Saelens [aut] (ORCID: &lt;https://orcid.org/0000-0002-7114-6248&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-01-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GillespieSSA2</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GillespieSSA2</dc:identifier>
</oai_dc:dc>
