GillespieSSA: Gillespie's Stochastic Simulation Algorithm (SSA)

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>.

Version:	0.6.1
Depends:	R (≥ 2.0.0)
Imports:	grDevices, graphics, methods, stats, utils
Suggests:	knitr, rmarkdown, testthat
Published:	2019-07-26
Author:	Mario Pineda-Krch [aut], Robrecht Cannoodt [aut, cre]
Maintainer:	Robrecht Cannoodt <rcannood at gmail.com>
License:	GPL (≥ 3)
URL:	https://www.github.com/rcannood/GillespieSSA
NeedsCompilation:	no
Materials:	README NEWS
In views:	DifferentialEquations
CRAN checks:	GillespieSSA results

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