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>.
Version:
0.3.0
Depends:
R (≥ 3.3)
Imports:
assertthat,
dplyr,
dynutils,
Matrix, methods,
purrr,
Rcpp (≥
0.12.3),
RcppXPtrUtils,
readr,
rlang,
stringr,
tidyr
Published:
2023年01月23日
Maintainer:
Robrecht Cannoodt <rcannood at gmail.com>
NeedsCompilation:
yes
Documentation:
Vignettes:
Introduction to GillespieSSA2 (
source,
R code)
Converting from GillespieSSA to GillespieSSA2 (
source,
R code)
Decaying-Dimerization Reaction Set (
source,
R code)
SIRS metapopulation model (
source,
R code)
Linear Chain System (
source,
R code)
Pearl-Verhulst Logistic Growth model (
source,
R code)
Lotka Predator-Prey model (
source,
R code)
Radioactive Decay model (
source,
R code)
Rosenzweig-MacArthur Predator-Prey model (
source,
R code)
Kermack-McKendrick SIR model (
source,
R code)
Downloads:
Reverse dependencies:
Linking:
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