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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.6.1 by Robrecht Cannoodt, 2 years ago

Browse source code at

Authors: Mario Pineda-Krch [aut] , Robrecht Cannoodt [aut, cre]

Documentation:   PDF Manual  

Task views: Differential Equations

GPL (>= 3) license

Imports grDevices, graphics, methods, stats, utils

Suggests knitr, rmarkdown, testthat

Imported by hybridModels.

Suggested by GillespieSSA2.

See at CRAN