Package: GillespieSSA
Type: Package
Title: Gillespie's Stochastic Simulation Algorithm (SSA)
Version: 0.6.2
Description: Provides a simple to use, intuitive, and extensible
        interface to several stochastic simulation algorithms for
        generating simulated trajectories of finite population
        continuous-time model. Currently it implements Gillespie's
        exact stochastic simulation algorithm (Direct method) and
        several approximate methods (Explicit tau-leap, Binomial
        tau-leap, and Optimized tau-leap). The package also contains a
        library of template models that can be run as demo models and
        can easily be customized and extended. Currently the following
        models are included, 'Decaying-Dimerization' reaction set,
        linear chain system, logistic growth model, 'Lotka'
        predator-prey model, Rosenzweig-MacArthur predator-prey model,
        'Kermack-McKendrick' SIR model, and a 'metapopulation' SIRS
        model. Pineda-Krch et al. (2008) <doi:10.18637/jss.v025.i12>.
Authors@R: c(
    person("Mario", "Pineda-Krch", role = c("aut")),
    person(
      "Robrecht", "Cannoodt", 
      email = "rcannood@gmail.com", 
      role = c("aut", "cre"),
      comment = c(ORCID = "0000-0003-3641-729X")
    )
  )
Depends: R (>= 2.0.0)
Imports: grDevices, graphics, methods, stats, utils
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/rcannood/GillespieSSA
License: GPL (>= 3)
RoxygenNote: 7.1.2
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Repository: https://rcannood.r-universe.dev
Date/Publication: 2022-03-10 08:37:50 UTC
RemoteUrl: https://github.com/rcannood/gillespiessa
RemoteRef: HEAD
RemoteSha: b532ff92067307e2438e1663a4a932f7f055a068
NeedsCompilation: no
Packaged: 2026-06-18 07:50:02 UTC; root
Author: Mario Pineda-Krch [aut],
  Robrecht Cannoodt [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3641-729X>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>