confint,fitode-method

Calculate confidence intervals for model parameters and their transformations using
(1) delta method, (2) profile likelihood, and (3) importance sampling.

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,fitode-method function

<dl><dt>object</dt>
<dd>fitode object</dd>
<dt>parm</dt>
<dd>character vector specifying model parameters or list of formuals specifying transformations</dd>
<dt>level</dt>
<dd>the confidence level required</dd>
<dt>method</dt>
<dd>method for calculating confidence intervals</dd>
<dt>nsim</dt>
<dd>number of simulations to be used for importance sampling</dd>
<dt>seed</dt>
<dd>seed</dd>
<dt>...</dt>
<dd>extra arguments passed to profiling method</dd></dl>

Arguments

Calculate confidence intervals from fitode objects for model parameters and their transformations — confint,fitode-method

<dl>

<dt>object</dt>
<dd>fitode object</dd>


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


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


<dt>method</dt>
<dd>method for calculating confidence intervals</dd>


<dt>nsim</dt>
<dd>number of simulations to be used for importance sampling</dd>


<dt>seed</dt>
<dd>seed</dd>


<dt>...</dt>
<dd>extra arguments passed to profiling method</dd>

</dl>

confint,fitode-method: Calculate confidence intervals from fitode objects for model parameters and their transformations

Description

Usage

Value

Arguments