solution.ode-class

Class "solution.ode".
Result of solving ode modeld with/without sensitivity equations

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

solution.ode-class function

<dl>
<dt><code>name</code></dt>
<dd>name of the model</dd></dl>
<dt><code>y</code></dt>
<dd>initial values</dd>
<dt><code>times</code></dt>
<dd>time vector</dd>
<dt><code>model</code></dt>
<dd>ode model</dd>
<dt><code>parms</code></dt>
<dd>parameters of the solution</dd>
<dt><code>solution</code></dt>
<dd>solution of the model</dd>
<dt><code>sensitivity</code></dt>
<dd>partial derivative of each state variable with respect to the parameters</dd>

Slots

Class "solution.ode".
Result of solving ode modeld with/without sensitivity equations — solution.ode-class

<dl>
<dt><code>name</code></dt>
<dd>name of the model</dd>


<dt><code>y</code></dt>
<dd>initial values</dd>


<dt><code>times</code></dt>
<dd>time vector</dd>


<dt><code>model</code></dt>
<dd>ode model</dd>


<dt><code>parms</code></dt>
<dd>parameters of the solution</dd>


<dt><code>solution</code></dt>
<dd>solution of the model</dd>


<dt><code>sensitivity</code></dt>
<dd>partial derivative of each state variable with respect to the parameters</dd>


</dl>

solution.ode-class: Class "solution.ode". Result of solving ode modeld with/without sensitivity equations

Description

Arguments

Slots