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sourceR (version 0.1.0)

sim_SA: Simulated data

Description

Data simulated from the source attribution model. Intended for use demonstrating use of the sourceR package.

Usage

data("sim_SA")

Arguments

format

The format is a list giving the prevalence data dataframe and source and human data dataframes: lll{ 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) }

Details

Note that the source data differs between times, but is the same for each location within a time. This is necessary because the source prevalences only vary over time. If the source data is not the same for each location within a given time, the mcmc will return an error.

Examples

Run this code
data(sim_SA)

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