sim_SA_prev


Source prevalences for the simulated data (sim_SA_data).


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_prev function

A data frame with 12 rows and 3 variables:
<dl> </dl>

sim_SA_prev: Simulated data prevalences.

Description

Usage

Arguments

Format