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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>.
Version: | 0.6.2 |
Depends: | R (≥ 2.0.0) |
Imports: | grDevices, graphics, methods, stats, utils |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2022-03-10 |
DOI: | 10.32614/CRAN.package.GillespieSSA |
Author: | Mario Pineda-Krch [aut],
Robrecht Cannoodt |
Maintainer: | Robrecht Cannoodt <rcannood at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://github.com/rcannood/GillespieSSA |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | DifferentialEquations |
CRAN checks: | GillespieSSA results |
Package source: | GillespieSSA_0.6.2.tar.gz |
Windows binaries: | r-devel: GillespieSSA_0.6.2.zip, r-release: GillespieSSA_0.6.2.zip, r-oldrel: GillespieSSA_0.6.2.zip |
macOS binaries: | r-release (arm64): GillespieSSA_0.6.2.tgz, r-oldrel (arm64): GillespieSSA_0.6.2.tgz, r-release (x86_64): GillespieSSA_0.6.2.tgz, r-oldrel (x86_64): GillespieSSA_0.6.2.tgz |
Old sources: | GillespieSSA archive |
Reverse imports: | hybridModels |
Reverse suggests: | GillespieSSA2 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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