confint,fitodeMCMC-method

Calculate credible intervals for model parameters and their transformations
from 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

confint,fitodeMCMC-method function

<dl><dt>object</dt>
<dd>fitodeMCMC object</dd>
<dt>parm</dt>
<dd>character vector specifying model parameters or list of formuals specifying transformations</dd>
<dt>level</dt>
<dd>the credible level required</dd></dl>

Arguments

Calculate credible intervals from fitodeMCMC objects for model parameters and their transformations — confint,fitodeMCMC-method

<dl>

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


<dt>parm</dt>
<dd>character vector specifying model parameters or list of formuals specifying transformations</dd>


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

</dl>

confint,fitodeMCMC-method: Calculate credible intervals from fitodeMCMC objects for model parameters and their transformations

Description

Usage

Value

Arguments