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) .


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Reference manual

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install.packages("GillespieSSA")

0.6.1 by Robrecht Cannoodt, 7 months ago


https://www.github.com/rcannood/GillespieSSA


Browse source code at https://github.com/cran/GillespieSSA


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