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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>.
Version: | 0.3.0 |
Depends: | R (≥ 3.3) |
Imports: | assertthat, dplyr, dynutils, Matrix, methods, purrr, Rcpp (≥ 0.12.3), RcppXPtrUtils, readr, rlang, stringr, tidyr |
LinkingTo: | Rcpp |
Suggests: | covr, ggplot2, GillespieSSA, knitr, rmarkdown, testthat (≥ 2.1.0) |
Published: | 2023-01-23 |
DOI: | 10.32614/CRAN.package.GillespieSSA2 |
Author: | Robrecht Cannoodt |
Maintainer: | Robrecht Cannoodt <rcannood at gmail.com> |
BugReports: | https://github.com/rcannood/GillespieSSA2/issues |
License: | GPL (≥ 3) |
URL: | https://rcannood.github.io/GillespieSSA2/, https://github.com/rcannood/GillespieSSA2 |
NeedsCompilation: | yes |
Citation: | GillespieSSA2 citation info |
Materials: | README NEWS |
CRAN checks: | GillespieSSA2 results |
Package source: | GillespieSSA2_0.3.0.tar.gz |
Windows binaries: | r-devel: GillespieSSA2_0.3.0.zip, r-release: GillespieSSA2_0.3.0.zip, r-oldrel: GillespieSSA2_0.3.0.zip |
macOS binaries: | r-release (arm64): GillespieSSA2_0.3.0.tgz, r-oldrel (arm64): GillespieSSA2_0.3.0.tgz, r-release (x86_64): GillespieSSA2_0.3.0.tgz, r-oldrel (x86_64): GillespieSSA2_0.3.0.tgz |
Old sources: | GillespieSSA2 archive |
Reverse imports: | dyngen |
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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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