print.SimBIID_model

A <code>SimBIID_model</code> object.

Print method for <code>SimBIID_model</code> objects.

Provides some code to run simulations of state-space models, and then
use these in the Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC)
algorithm of Toni et al. (2009) <doi:10.1098/rsif.2008.0172> and a bootstrap particle
filter based particle Markov chain Monte Carlo (PMCMC) algorithm
(Andrieu et al., 2010 <doi:10.1111/j.1467-9868.2009.00736.x>).
Also provides functions to plot and summarise the outputs.

Trevelyan J. McKinley

SimBIID

Simulation-Based Inference Methods for Infectious Disease Models

Stefan Widgren

Pavol Bauer

Robin Eriksson

Stefan Engblom

print.SimBIID_model function

<dl><dt>x</dt>
<dd>A <code>SimBIID_model</code> object.</dd>
<dt>...</dt>
<dd>Not used here.</dd></dl>

Arguments

Prints SimBIID_model objects — print.SimBIID_model

<dl>

<dt>x</dt>
<dd>A <code>SimBIID_model</code> object.</dd>


<dt>...</dt>
<dd>Not used here.</dd>

</dl>

print.SimBIID_model: Prints `SimBIID_model` objects

Description

Usage

Value

Arguments