predict,fitodeMCMC-method

Computes estimated trajectories and their credible intervals.
The estimated trajectories are obtained by taking the median trajectories
from the posterior samples.

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

predict,fitodeMCMC-method function

<dl><dt>object</dt>
<dd>fitodeMCMC object</dd>
<dt>level</dt>
<dd>the credible level required</dd>
<dt>times</dt>
<dd>time vector to predict over. Default is set to the time frame of the data.</dd>
<dt>simplify</dt>
<dd>(logical) simplify output to return estimated trajectories and their
credible intervals? If <code>simplify=FALSE</code>, all posterior trajectories will be returned</dd></dl>

Arguments

Prediction function for fitodeMCMC objects — predict,fitodeMCMC-method

<dl>

<dt>object</dt>
<dd>fitodeMCMC object</dd>


<dt>level</dt>
<dd>the credible level required</dd>


<dt>times</dt>
<dd>time vector to predict over. Default is set to the time frame of the data.</dd>


<dt>simplify</dt>
<dd>(logical) simplify output to return estimated trajectories and their
credible intervals? If <code>simplify=FALSE</code>, all posterior trajectories will be returned</dd>

</dl>

predict,fitodeMCMC-method: Prediction function for fitodeMCMC objects

Description

Usage

Value

Arguments