ode_em: Euler-Maruyama method (EM)
In GillespieSSA2: Gillespie's Stochastic Simulation Algorithm for Impatient People
ode_em R Documentation
Euler-Maruyama method (EM)
Description
Euler-Maruyama method implementation of the ODE.
Usage
ode_em(tau = 0.01, noise_strength = 2)
Arguments
tau
tau parameter
noise_strength
noise_strength parameter
Value
an object of to be used by ssa().
GillespieSSA2 documentation built on Jan. 24, 2023, 1:10 a.m.
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| ode_em | R Documentation |
Euler-Maruyama method (EM)
Description
Euler-Maruyama method implementation of the ODE.
Usage
ode_em(tau = 0.01, noise_strength = 2)
Arguments
tau |
tau parameter |
noise_strength |
noise_strength parameter |
Value
an object of to be used by ssa().
GillespieSSA2 documentation built on Jan. 24, 2023, 1:10 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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