ebola

A dataset containing time series counts for the number
 of new individuals exhibiting clinical signs, and the number of
 new removals each day for the 1995 Ebola epidemic in the Democratic
 Republic of Congo

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

ebola function

A data frame with 192 rows and 3 variables:<dl>
 <dt>time</dt>
<dd>days from 1st January 1995</dd> <dt>clin_signs</dt>
<dd>number of new clinical cases at each day</dd> <dt>removals</dt>
<dd>number of new removals at each day</dd>
</dl>

Format

Time series counts of ebola cases — ebola

A data frame with 192 rows and 3 variables:<dl>
 <dt>time</dt>
<dd>days from 1st January 1995</dd>

 <dt>clin_signs</dt>
<dd>number of new clinical cases at each day</dd>

 <dt>removals</dt>
<dd>number of new removals at each day</dd>


</dl>

ebola: Time series counts of ebola cases

Description

Usage

Arguments

Format