Package: GillespieSSA2 0.3.0
GillespieSSA2: Gillespie's Stochastic Simulation Algorithm for Impatient People
A fast, scalable, and versatile framework for simulating large systems with Gillespie's Stochastic Simulation Algorithm ('SSA'). This package is the spiritual successor to the 'GillespieSSA' package originally written by Mario Pineda-Krch. Benefits of this package include major speed improvements (>100x), easier to understand documentation, and many unit tests that try to ensure the package works as intended. Cannoodt and Saelens et al. (2021) <doi:10.1038/s41467-021-24152-2>.
Authors:
GillespieSSA2_0.3.0.tar.gz
GillespieSSA2_0.3.0.zip(r-4.5)GillespieSSA2_0.3.0.zip(r-4.4)GillespieSSA2_0.3.0.zip(r-4.3)
GillespieSSA2_0.3.0.tgz(r-4.4-x86_64)GillespieSSA2_0.3.0.tgz(r-4.4-arm64)GillespieSSA2_0.3.0.tgz(r-4.3-x86_64)GillespieSSA2_0.3.0.tgz(r-4.3-arm64)
GillespieSSA2_0.3.0.tar.gz(r-4.5-noble)GillespieSSA2_0.3.0.tar.gz(r-4.4-noble)
GillespieSSA2.pdf |GillespieSSA2.html✨
GillespieSSA2/json (API)
NEWS
# Install 'GillespieSSA2' in R: |
install.packages('GillespieSSA2', repos = c('https://rcannood.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rcannood/gillespiessa2/issues
Last updated 2 years agofrom:adb5454390. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:compile_reactionsode_emplot_ssaport_reactionsreactionssassa_btlssa_etlssa_exact
Dependencies:assertthatbitbit64clicliprcpp11crayondescdplyrdynutilsfansigenericsgluehmslatticelifecyclemagrittrMatrixpillarpkgconfigprettyunitsprogressproxyCpurrrR6RcppRcppArmadilloRcppXPtrUtilsreadrremotesrlangstringistringrtibbletidyrtidyselecttzdbutf8vctrsvroomwithr
Converting from GillespieSSA to GillespieSSA2
Rendered fromconverting_from_GillespieSSA.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2020-07-14
Started: 2019-08-09
Decaying-Dimerization Reaction Set
Rendered fromdecaying_dimer.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-07-17
Introduction to GillespieSSA2
Rendered froman_introduction.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2020-07-14
Started: 2019-08-09
Kermack-McKendrick SIR model
Rendered fromsir.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Linear Chain System
Rendered fromlinear_chain.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Lotka Predator-Prey model
Rendered fromlotka_predator_prey.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Pearl-Verhulst Logistic Growth model
Rendered fromlogistic_growth.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Radioactive Decay model
Rendered fromradioactive_decay.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Rosenzweig-MacArthur Predator-Prey model
Rendered fromrm_predator_prey.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
SIRS metapopulation model
Rendered fromepi_chain.Rmd
usingknitr::rmarkdown
on Nov 07 2024.Last update: 2023-01-23
Started: 2019-08-09
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Precompile the reactions | compile_reactions |
'GillespieSSA2': Gillespie's Stochastic Simulation Algorithm for impatient people. | GillespieSSA2-package GillespieSSA2 |
Euler-Maruyama method (EM) | ode_em |
Simple plotting of ssa output | plot_ssa |
Port GillespieSSA parameters to GillespieSSA2 | port_reactions |
Print various SSA objects | print.SSA_method print.SSA_reaction |
Define a reaction | reaction |
Invoking the stochastic simulation algorithm | ssa |
Binomial tau-leap method (BTL) | ssa_btl |
Explicit tau-leap method (ETL) | ssa_etl |
Exact method | ssa_exact |