profile,fitode-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

profile,fitode-method function

<dl><dt>fitted</dt>
<dd>fitted model object</dd>
<dt>which</dt>
<dd>which parameter(s) to profile? (integer value)</dd>
<dt>alpha</dt>
<dd>critical level</dd>
<dt>trace</dt>
<dd>trace progress of computations?</dd>
<dt>...</dt>
<dd>additional arguments passed to mle2 profiling method</dd></dl>

Arguments

Profile fitode objects — profile,fitode-method

<dl>

<dt>fitted</dt>
<dd>fitted model object</dd>


<dt>which</dt>
<dd>which parameter(s) to profile? (integer value)</dd>


<dt>alpha</dt>
<dd>critical level</dd>


<dt>trace</dt>
<dd>trace progress of computations?</dd>


<dt>...</dt>
<dd>additional arguments passed to mle2 profiling method</dd>

</dl>

profile,fitode-method: Profile fitode objects

Description

Usage

Value

Arguments