GillespieSSA: 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) <doi:10.18637/jss.v025.i12>.

Package details

AuthorMario Pineda-Krch [aut], Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>)
MaintainerRobrecht Cannoodt <rcannood@gmail.com>
LicenseGPL (>= 3)
Version0.6.1
URL https://www.github.com/rcannood/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 July 27, 2019, 1:02 a.m.