GillespieSSA
swMATH ID:  21016 
Software Authors:  Mario PinedaKrch 
Description:  R package GillespieSSA: Gillespie’s Stochastic Simulation Algorithm (SSA). GillespieSSA provides a simple to use, intuitive, and extensible interface to several stochastic simulation algorithms for generating simulated trajectories of finite population continuoustime model. Currently it implements Gillespie’s exact stochastic simulation algorithm (Direct method) and several approximate methods (Explicit tauleap, Binomial tauleap, and Optimized tauleap). 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, decayingdimerization reaction set, linear chain system, logistic growth model, Lotka predatorprey model, RosenzweigMacArthur predatorprey model, KermackMcKendrick SIR model, and a metapopulation SIRS model. 
Homepage:  https://cran.rproject.org/web/packages/GillespieSSA/index.html 
Dependencies:  R 
Related Software:  R; deSolve; Julia; Gillespie.jl; COPASI; BioNetGen; simecol; Python; igraph; EpiContactTrace; reshape; InterSpread Plus; Epigrass; ggplot2; foreach; doParallel; hybridModels; JuMP; libSBML; DifferentialEquations.jl 
Referenced in:  4 Publications 
Standard Articles
1 Publication describing the Software  Year 


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top 5
Referenced by 8 Authors
2  PinedaKrch, Mario 
2  zu Dohna, Heinrich 
1  Alvarez, Robinson F. 
1  Barbuto, José A. M. 
1  Kamara, Abdul A. 
1  Mouanguissa, Lagès Nadège 
1  Venegeroles, Roberto 
1  Wang, Xiangjun 
Referenced in 3 Serials
2  Theoretical Population Biology 
1  Applied Mathematics and Computation 
1  Journal of Theoretical Biology 