ode_em: Euler-Maruyama method (EM)
In GillespieSSA2: Gillespie's Stochastic Simulation Algorithm for Impatient People

Description Usage Arguments Value

View source: R/ode_em.R

Euler-Maruyama method implementation of the ODE.

1	ode_em(tau = 0.01, noise_strength = 2)

`tau`	tau parameter
`noise_strength`	noise_strength parameter

an object of to be used by ssa().

GillespieSSA2 documentation built on May 18, 2021, 5:06 p.m.

GillespieSSA2 index

README.md Converting from GillespieSSA to GillespieSSA2 Decaying-Dimerization Reaction Set (Gillespie, 2001) Introduction to GillespieSSA2 Kermack-McKendrick SIR model (Brown & Rothery, 1993) Linear Chain System (Cao et al., 2004) Lotka Predator-Prey model (Gillespie, 1977; Kot, 2001) Pearl-Verhulst Logistic Growth model (Kot, 2001) Radioactive Decay model (Gillespie, 1977) Rosenzweig-MacArthur Predator-Prey model (Pineda-Krch et al., 2007) SIRS metapopulation model (Pineda-Krch, 2008)

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