update,fitodeMCMC-method

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

update,fitodeMCMC-method function

<dl><dt>object</dt>
<dd>fitodeMCMC objects</dd>
<dt>observation</dt>
<dd>observation model</dd>
<dt>initial</dt>
<dd>initial values</dd>
<dt>par</dt>
<dd>model parameters</dd>
<dt>link</dt>
<dd>link functions for parameters (log links are used as default)</dd>
<dt>...</dt>
<dd>additional arguments to be passed to fitode</dd></dl>

Arguments

Update fitodeMCMC fits — update,fitodeMCMC-method

<dl>

<dt>object</dt>
<dd>fitodeMCMC objects</dd>


<dt>observation</dt>
<dd>observation model</dd>


<dt>initial</dt>
<dd>initial values</dd>


<dt>par</dt>
<dd>model parameters</dd>


<dt>link</dt>
<dd>link functions for parameters (log links are used as default)</dd>


<dt>...</dt>
<dd>additional arguments to be passed to fitode</dd>

</dl>

update,fitodeMCMC-method: Update fitodeMCMC fits

Description

Usage

Value

Arguments