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r / packages / r-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. Pineda-Krch et al. (2008) <doi:10.18637/jss.v025.i12>.

Type Size Name Uploaded Downloads Labels
conda 1.3 MB | noarch/r-gillespiessa-0.6.2-r43h142f84f_0.tar.bz2  11 months and 26 days ago 18 main
conda 1.3 MB | noarch/r-gillespiessa-0.6.2-r42h142f84f_0.tar.bz2  2 years and 6 months ago 56 main
conda 1.2 MB | noarch/r-gillespiessa-0.6.1-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 114 main

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