SpatialEpi: process_MCMC_sample – R documentation

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process_MCMC_sample

Process MCMC Sample

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)

`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)

`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

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