ode_em: Euler-Maruyama method (EM)
In rcannood/gillespie: 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().
rcannood/gillespie documentation built on Jan. 26, 2023, 8:37 p.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.
| 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().
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.