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.
- Version0.6.2
- R version≥ 2.0.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release03/10/2022
Documentation
- VignetteDecaying-Dimerization Reaction Set (Gillespie, 2001)
- VignetteSIRS metapopulation model (Pineda-Krch, 2008)
- VignetteLinear Chain System (Cao et al., 2004)
- VignettePearl-Verhulst Logistic growth model (Kot, 2001)
- VignetteLotka predator-prey model (Gillespie, 1977; Kot, 2001)
- VignetteRadioactive decay model (Gillespie, 1977)
- VignetteRosenzweig-MacArthur predator-prey model (Pineda-Krch et al., 2007)
- VignetteKermack-McKendrick SIR model (Brown & Rothery, 1993)
- MaterialREADME
- MaterialNEWS
- In ViewsDifferentialEquations
Team
Robrecht Cannoodt
MaintainerShow author detailsMario Pineda-Krch
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 514 times in the last 30 days. More downloads than an obscure whitepaper, but not enough to bring down any servers. A solid effort! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
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Last 365 days
This package has been downloaded 5,229 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jan 16, 2025 with 116 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Suggests3 packages
- Reverse Imports1 package
- Reverse Suggests1 package