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SpatialEpi (version 1.2.1)

process_MCMC_sample: 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.areaProbability of cluster membership for each area
  • low.areaProbability of anti-cluster membership for each area
  • RR.est.areaSmoothed relative risk estimates for each area

References

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

See Also

MCMC_simulation