hessian

S4 generic for computing a hessian

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

hessian function

<dl><dt>object</dt>
<dd>an <code>R</code> object</dd>
<dt>...</dt>
<dd>further arguments passed to methods</dd></dl>

Arguments

S4 generic for computing a hessian — hessian

<dl>

<dt>object</dt>
<dd>an <code>R</code> object</dd>


<dt>...</dt>
<dd>further arguments passed to methods</dd>

</dl>

hessian: S4 generic for computing a hessian

Description

Usage

Value

Arguments