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
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-09 18:25:21 UTC; rcannood
Author: Mario Pineda-Krch [aut],
  Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2022-03-10 11:20:28 UTC
Built: R 4.3.0; ; 2023-04-12 01:21:35 UTC; unix
