vcov,fitode-method

Extracts variance-covariance matrix (either on response scales or link scales)

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

vcov,fitode-method function

<dl><dt>object</dt>
<dd>fitode object</dd>
<dt>type</dt>
<dd>type of covariance matrix. The default (<code>type=response</code>) is on the
response scale; this is the scale on which the model parameters are defined.
Alternatively, <code>type=link</code> can be used to obtain the covariance matrix on the estimated scale.</dd></dl>

Arguments

Extract variance-covariance matrix from fitode objects — vcov,fitode-method

<dl>

<dt>object</dt>
<dd>fitode object</dd>


<dt>type</dt>
<dd>type of covariance matrix. The default (<code>type=response</code>) is on the
response scale; this is the scale on which the model parameters are defined.
Alternatively, <code>type=link</code> can be used to obtain the covariance matrix on the estimated scale.</dd>

</dl>

vcov,fitode-method: Extract variance-covariance matrix from fitode objects

Description

Usage

Value

Arguments