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
[aut, cre],
Wouter Saelens
[aut] |
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 |