lna: Stochastic simulation using the linear noise approximation
In issb: R code associated with the book chapter "Simulation of stochastic kinetic models"
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Stochastic simulation using the linear noise
approximation
Usage
1
Arguments
restart
a logical value. The default value of
FALSE runs the standard linear noise approximation. A
value of TRUE runs the algorithm of Fearnhead, Giagos,
and Sherlock, 2012.
model
a skm object, created using the create_model
function
maxtime
the maximum simulation time
ddt
the step size used in the Euler-Maruyama
solver
Value
A matrix. The first column contains the simulation time,
the other columns contain the species levels
Author(s)
Colin Gillespie
Examples
1
2
issb documentation built on May 2, 2019, 4:43 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.
Description Usage Arguments Value Author(s) Examples
Description
Stochastic simulation using the linear noise approximation
Usage
1 |
Arguments
restart |
a logical value. The default value of FALSE runs the standard linear noise approximation. A value of TRUE runs the algorithm of Fearnhead, Giagos, and Sherlock, 2012. |
model |
a skm object, created using the create_model function |
maxtime |
the maximum simulation time |
ddt |
the step size used in the Euler-Maruyama solver |
Value
A matrix. The first column contains the simulation time, the other columns contain the species levels
Author(s)
Colin Gillespie
Examples
1 2 |
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.