diffusion

This funtions performs a brownian difussion over a set of particles.
The dimension is automatically calculated from the number of columns of the object.

Implementation of some Individual Based Models (IBMs, sensu Grimm and Railsback 2005)
and methods to create new ones, particularly for population dynamics models (reproduction,
mortality and movement). The basic operations for the simulations are implemented in Rcpp for speed.

Ricardo OliverosRamos

Individual Based Models in R

Ricardo Oliveros-Ramos

diffusion function

<dl><dt>object</dt>
<dd>The positions of the particles, dimension is taken from the number
of columns or assumed to be 1 is no columns.</dd>
<dt>sd</dt>
<dd>Standard deviation for the gaussian jump, for dynamics models should be
set proportional to <code>sqrt(dt)</code>.</dd>
<dt>...</dt>
<dd>Additional arguments for different methods.</dd></dl>

Arguments

Brownian diffusion of a set of particles — diffusion

<dl>

<dt>object</dt>
<dd>The positions of the particles, dimension is taken from the number
of columns or assumed to be 1 is no columns.</dd>


<dt>sd</dt>
<dd>Standard deviation for the gaussian jump, for dynamics models should be
set proportional to <code>sqrt(dt)</code>.</dd>


<dt>...</dt>
<dd>Additional arguments for different methods.</dd>

</dl>

diffusion: Brownian diffusion of a set of particles

Description

Usage

Arguments

Details