process_MCMC_sample: Process MCMC Sample

In SpatialEpi: Methods and Data for Spatial Epidemiology

Process MCMC Sample

Description

Take the output of sampled configurations from MCMC_simulation and produce area-by-area summaries

Usage

process_MCMC_sample(sample, param, RR.area, cluster.list, cutoffs)

Arguments

sample	list objects of sampled configurations
param	mean relative risk associted with each of the n.zones single zones considering the wide prior
RR.area	mean relative risk associated with each of the n areas considering the narrow prior
cluster.list	list of length n.zones listing, for each single zone, its component areas
cutoffs	cutoffs used to declare highs (clusters) and lows (anti-clusters)

Value

high.area	Probability of cluster membership for each area
low.area	Probability of anti-cluster membership for each area
RR.est.area	Smoothed relative risk estimates for each area

References

Wakefield J. and Kim A.Y. (2013) A Bayesian model for cluster detection. Biostatistics, 14, 752–765.

SpatialEpi documentation built on March 7, 2023, 8 p.m.