smallpox

A dataset containing time series counts for the number
 of new removals for the 1967 Abakaliki smallpox outbreak.

datasets

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

smallpox function

A data frame with 23 rows and 2 variables:<dl>
 <dt>time</dt>
<dd>days from initial observed removal</dd> <dt>removals</dt>
<dd>number of new removals in (time - 1, time)</dd>
</dl>

Format

Time series counts of smallpox cases — smallpox

A data frame with 23 rows and 2 variables:<dl>
 <dt>time</dt>
<dd>days from initial observed removal</dd>

 <dt>removals</dt>
<dd>number of new removals in (time - 1, time)</dd>


</dl>

smallpox: Time series counts of smallpox cases

Description

Usage

Arguments

Format