process_MCMC_sample

Take the output of sampled configurations from <code>MCMC_simulation</code> and produce area-by-area summaries

Methods and data for cluster detection and disease mapping.

Albert Y Kim

SpatialEpi

Methods and Data for Spatial Epidemiology

Cici Chen

Albert Y. Kim

Michelle Ross

Jon Wakefield

Mikael Moise

process_MCMC_sample function

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

Arguments

Process MCMC Sample — process_MCMC_sample

<dl>

<dt>sample</dt>
<dd>list objects of sampled configurations</dd>


<dt>param</dt>
<dd>mean relative risk associted with each of the <code>n.zones</code> single zones considering the wide prior</dd>


<dt>RR.area</dt>
<dd>mean relative risk associated with each of the <code>n</code> areas considering the narrow prior</dd>


<dt>cluster.list</dt>
<dd>list of length <code>n.zones</code> listing, for each single zone, its component areas</dd>


<dt>cutoffs</dt>
<dd>cutoffs used to declare highs (clusters) and lows (anti-clusters)</dd>

</dl>

process_MCMC_sample: Process MCMC Sample

Description

Usage

Value

Arguments

References