Package: GillespieSSA 0.6.2
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>.
Authors:
GillespieSSA_0.6.2.tar.gz
GillespieSSA_0.6.2.zip(r-4.5)GillespieSSA_0.6.2.zip(r-4.4)GillespieSSA_0.6.2.zip(r-4.3)
GillespieSSA_0.6.2.tgz(r-4.4-any)GillespieSSA_0.6.2.tgz(r-4.3-any)
GillespieSSA_0.6.2.tar.gz(r-4.5-noble)GillespieSSA_0.6.2.tar.gz(r-4.4-noble)
GillespieSSA_0.6.2.tgz(r-4.4-emscripten)GillespieSSA_0.6.2.tgz(r-4.3-emscripten)
GillespieSSA.pdf |GillespieSSA.html✨
GillespieSSA/json (API)
NEWS
# Install 'GillespieSSA' in R: |
install.packages('GillespieSSA', repos = c('https://rcannood.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rcannood/gillespiessa/issues
Last updated 3 years agofrom:b532ff9206. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:ssassa.btlssa.dssa.etlssa.otlssa.plot
Dependencies:
Decaying-Dimerization Reaction Set (Gillespie, 2001)
Rendered fromdecaying_dimer.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Kermack-McKendrick SIR model (Brown & Rothery, 1993)
Rendered fromsir.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Linear Chain System (Cao et al., 2004)
Rendered fromlinear_chain.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Lotka predator-prey model (Gillespie, 1977; Kot, 2001)
Rendered fromlotka_predator_prey.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Pearl-Verhulst Logistic growth model (Kot, 2001)
Rendered fromlogistic_growth.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Radioactive decay model (Gillespie, 1977)
Rendered fromradioactive_decay.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Rosenzweig-MacArthur predator-prey model (Pineda-Krch et al., 2007)
Rendered fromrm_predator_prey.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
SIRS metapopulation model (Pineda-Krch, 2008)
Rendered fromepi_chain.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2019-07-16
Started: 2019-07-13
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Gillespie Stochastic Simulation Algorithm package | GillespieSSA-package GillespieSSA |
Invoking the stochastic simulation algorithm | ssa |
Binomial tau-leap method (BTL) | ssa.btl |
Direct method (D) | ssa.d |
Explicit tau-leap method (ETL) | ssa.etl |
Optimized tau-leap method (OTL) | ssa.otl |
Simple plotting of ssa output | ssa.plot |