summary,fitodeMCMC-method

Summarize fitodeMCMC object;
returns estimate, standard error, credible intervals, effective sample sizes, and gelman-rubin diagnostic

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

summary,fitodeMCMC-method function

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

Arguments

Summarize fitodeMCMC object — summary,fitodeMCMC-method

<dl>

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

</dl>

summary,fitodeMCMC-method: Summarize fitodeMCMC object

Description

Usage

Value

Arguments

See Also