jacobian,odemodel-method

Evaluate the jacobian of the gradients

internal

Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.

Sang Woo Park

fitode

Tools for Ordinary Differential Equations Model Fitting

Ben Bolker

jacobian,odemodel-method function

<dl><dt>object</dt>
<dd>odemodel object</dd>
<dt>state</dt>
<dd>state</dd>
<dt>par</dt>
<dd>parameter values</dd>
<dt>type</dt>
<dd>state of par?</dd></dl>

Arguments

Evaluate the jacobian of the gradients — jacobian,odemodel-method

<dl>

<dt>object</dt>
<dd>odemodel object</dd>


<dt>state</dt>
<dd>state</dd>


<dt>par</dt>
<dd>parameter values</dd>


<dt>type</dt>
<dd>state of par?</dd>

</dl>

jacobian,odemodel-method: Evaluate the jacobian of the gradients

Description

Usage

Arguments