GillespieSSA: Gillespie's Stochastic Simulation Algorithm (SSA)
Version 0.5-4

GillespieSSA 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.

Package details

AuthorMario Pineda-Krch <mpineda@math.ualbeta.ca>
Date of publication2012-01-15 12:32:46
MaintainerORPHANED
LicenseGPL (>= 3)
Version0.5-4
URL http://pineda-krch.com/gillespiessa
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GillespieSSA")

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GillespieSSA documentation built on May 29, 2017, 9:08 p.m.