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GillespieSSA
View on CRAN: Click
here
Download and install GillespieSSA package within the R console
Install from CRAN:
install.packages("GillespieSSA")
Install from Github:
library("remotes")
install_github("cran/GillespieSSA") Install by package version:
library("remotes")
install_version("GillespieSSA", "0.6.2") Attach the package and use:
library("GillespieSSA")
Maintained by
Robrecht Cannoodt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-09-21
Latest Update: 2022-03-10
Description:
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) .
How to cite:
Robrecht Cannoodt (2007). GillespieSSA: Gillespie's Stochastic Simulation Algorithm (SSA). R package version 0.6.2, https://cran.r-project.org/web/packages/GillespieSSA. Accessed 05 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for GillespieSSA
Functions, R codes and Examples using
the GillespieSSA R package
Some associated functions: GillespieSSA-package . ssa.btl . ssa.d . ssa.etl . ssa . ssa.otl . ssa.plot .
Some associated R codes: GillespieSSA-package.R . parse.propensity.functions.R . ssa.R . ssa.btl.R . ssa.d.R . ssa.etl.R . ssa.method.R . ssa.nutiling.R . ssa.otl.R . ssa.plot.R . Full GillespieSSA package functions and examples
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