ssa_btl

Binomial tau-leap method implementation of the <acronym>SSA</acronym> as described by Chatterjee et al. (2005).

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>.

Robrecht Cannoodt

GillespieSSA2

Gillespie's Stochastic Simulation Algorithm for Impatient People

Wouter Saelens

ssa_btl function

<dl><dt>mean_firings</dt>
<dd>A coarse-graining factor of how many firings will occur at each iteration on average.
Depending on the propensity functions, a value for <code>mean_firings</code> will result in warnings generated
and a loss of accuracy.</dd></dl>

Arguments

Binomial tau-leap method (BTL) — ssa_btl

<dl>

<dt>mean_firings</dt>
<dd>A coarse-graining factor of how many firings will occur at each iteration on average.
Depending on the propensity functions, a value for <code>mean_firings</code> will result in warnings generated
and a loss of accuracy.</dd>

</dl>

ssa_btl: Binomial tau-leap method (BTL)

Description

Usage

Value

Arguments

References