Gillespie's Stochastic Simulation Algorithm (SSA) R package GillespieSSA version 0.6.2 CRAN Task View: DifferentialEquations (https://CRAN.R-project.org/view=DifferentialEquations) 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>. Software Depends: R (>= 2.0.0) Imports: grDevices, graphics, methods, stats, utils Suggests: knitr, rmarkdown, testthat Robrecht Cannoodt <rcannood@gmail.com> Comprehensive R Archive Network (CRAN) Mario Pineda-Krch [aut], Robrecht Cannoodt [aut, cre] (ORCID: <https://orcid.org/0000-0003-3641-729X>) GPL (>= 3) 2022-03-10 application/tgz https://CRAN.R-project.org/package=GillespieSSA doi:10.32614/CRAN.package.GillespieSSA