ode.sensitivity

Calculate the derivative of an expression with respect to model parameters
using sensitivity equations and chain rule

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

ode.sensitivity function

<dl><dt>model</dt>
<dd>odemodel object</dd>
<dt>parms</dt>
<dd>named vector of parameter values</dd>
<dt>times</dt>
<dd>time window for which the model should be solved</dd>
<dt>solver.opts</dt>
<dd>options for the ode solver (see <code>ode</code>)</dd>
<dt>solver</dt>
<dd>ode solver</dd></dl>

Arguments

Calculate the derivative of the mean expression — ode.sensitivity

<dl>

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


<dt>parms</dt>
<dd>named vector of parameter values</dd>


<dt>times</dt>
<dd>time window for which the model should be solved</dd>


<dt>solver.opts</dt>
<dd>options for the ode solver (see <code>ode</code>)</dd>


<dt>solver</dt>
<dd>ode solver</dd>

</dl>

ode.sensitivity: Calculate the derivative of the mean expression

Description

Usage

Arguments