stdEr,fitode-method

Calculates standard error by taking the square root of the diagonal matrix

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

stdEr,fitode-method function

<dl><dt>x</dt>
<dd>fitode object</dd>
<dt>type</dt>
<dd>type of standard error. 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 standard errors on the estimated scale.</dd></dl>

Arguments

Extract standard error from fitode objects — stdEr,fitode-method

<dl>

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


<dt>type</dt>
<dd>type of standard error. 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 standard errors on the estimated scale.</dd>

</dl>

stdEr,fitode-method: Extract standard error from fitode objects

Description

Usage

Value

Arguments