Take the output of sampled configurations from MCMC_simulation and produce area-by-area summaries
process_MCMC_sample(sample, param, RR.area, cluster.list, cutoffs)list objects of sampled configurations
mean relative risk associted with each of the n.zones single zones considering the wide prior
mean relative risk associated with each of the n areas considering the narrow prior
list of length n.zones listing, for each single zone, its component areas
cutoffs used to declare highs (clusters) and lows (anti-clusters)
Probability of cluster membership for each area
Probability of anti-cluster membership for each area
Smoothed relative risk estimates for each area
Wakefield J. and Kim A.Y. (2013) A Bayesian model for cluster detection. Biostatistics, 14, 752--765.