sim_SA


Data simulated from the source attribution model. Intended for use demonstrating use of the <a rd-options="" href="/link/sourceR?package=sourceR&version=0.2.0" data-mini-rdoc="sourceR::sourceR">sourceR</a> package.


datasets

Implements a non-parametric source attribution model
to attribute cases of disease to sources in Bayesian framework with source and
type effects. Type effects are clustered using a Dirichlet Process. Multiple
times and locations are supported.

Poppy Miller

sourceR

Fits a Non-Parametric Bayesian Source Attribution Model

sim_SA function

The format is a list giving the prevalence data dataframe and source and human data dataframes:
<table><tr><td>
  <em>Parameter</em> </td>
<td> <em>Format</em></td>
</tr><tr><td>
 prev </td>
<td> Dataframe giving the prevalence values, source id and time identifiers for each source. </td>
</tr><tr><td>
 data </td>
<td> Dataframe giving the number of human cases for each type, time and location; and the </td>
</tr><tr><td>
 </td>
<td> number of positive source samples for each source, type, and time.</td>
</tr><tr><td>
 </td>
<td> ..$ Human   : number of human cases </td>
</tr><tr><td>
 </td>
<td> ..$ Type    : type id</td>
</tr><tr><td>
 </td>
<td> ..$ Time    : time id</td>
</tr><tr><td>
 </td>
<td> ..$ Location: location id</td>
</tr><tr><td>
 </td>
<td> ..$ Source1 : number of positive samples for each type (source 1)</td>
</tr><tr><td>
 </td>
<td> ..$ Source2 : number of positive samples for each type (source 2)</td>
</tr><tr><td>
 </td>
<td> ..$ Source3 : number of positive samples for each type (source 3)</td>
</tr><tr><td>
 </td>
<td> ..$ Source4 : number of positive samples for each type (source 4)</td>
</tr><tr><td>
 </td>
<td> ..$ Source5 : number of positive samples for each type (source 5)</td>
</tr></table>

Format


Data simulated from the source attribution model. Intended for use demonstrating use of the <a rd-options='' href='sourceR'>sourceR</a> package.


sim_SA: Simulated data

Description

Usage

Arguments

Format

Details

Examples

Parameter	Format
prev	Dataframe giving the prevalence values, source id and time identifiers for each source.
data	Dataframe giving the number of human cases for each type, time and location; and the
	number of positive source samples for each source, type, and time.
	..$ Human : number of human cases
	..$ Type : type id
	..$ Time : time id
	..$ Location: location id
	..$ Source1 : number of positive samples for each type (source 1)
	..$ Source2 : number of positive samples for each type (source 2)
	..$ Source3 : number of positive samples for each type (source 3)
	..$ Source4 : number of positive samples for each type (source 4)
	..$ Source5 : number of positive samples for each type (source 5)