sim_SA_data


A simulated dataset containing the number of human cases of campylobacteriosis and numbers of source samples
positive for <em>Campylobacter</em> for each bacterial subtype.


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_data function

A data frame with 364 rows and 10 variables:
<dl> </dl>

sim_SA_data: Simulated data: Human cases of campylobacteriosis and numbers of source samples positive for Campylobacter.

Description

Usage

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