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 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.

Version: 0.5-4
Depends: R (≥ 2.0.0)
Published: 2012-01-15
Author: Mario Pineda-Krch
Maintainer: ORPHANED
License: GPL (≥ 3)
NeedsCompilation: no
In views: DifferentialEquations
CRAN checks: GillespieSSA results


Reference manual: GillespieSSA.pdf
Package source: GillespieSSA_0.5-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: GillespieSSA_0.5-4.tgz
OS X Mavericks binaries: r-oldrel: GillespieSSA_0.5-4.tgz
Old sources: GillespieSSA archive

Reverse dependencies:

Reverse imports: hybridModels


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