reg.summary

This function takes data and sampled MCMC chains for an areal data set
and gives fitted posterior values and summaries by region using the model by keefe2018ref.ICAR.

Implements an objective Bayes intrinsic conditional autoregressive
prior. This model provides an objective Bayesian approach for modeling spatially
correlated areal data using an intrinsic conditional autoregressive prior on a vector of
spatial random effects.

Erica Porter

ref.ICAR

Objective Bayes Intrinsic Conditional Autoregressive Model for
Areal Data

reg.summary function

<dl><dt>MCMCchain</dt>
<dd>Matrix of MCMC chains, using the sampling from keefe2018ref.ICAR.</dd>
<dt>X</dt>
<dd>Matrix of covariates.</dd>
<dt>Y</dt>
<dd>Vector of responses.</dd>
<dt>burnin</dt>
<dd>Number of MCMC iterations discarded as burn-in in <code>MCMCchain</code>.</dd></dl>

Arguments

Erica M. Porter, Matthew J. Keefe, Christopher T. Franck, and Marco A.R. Ferreira

Author

Regional Summaries for Areal Data Modeled by ICAR Reference Prior Model — reg.summary

<dl>

<dt>MCMCchain</dt>
<dd>Matrix of MCMC chains, using the sampling from keefe2018ref.ICAR.</dd>


<dt>X</dt>
<dd>Matrix of covariates.</dd>


<dt>Y</dt>
<dd>Vector of responses.</dd>


<dt>burnin</dt>
<dd>Number of MCMC iterations discarded as burn-in in <code>MCMCchain</code>.</dd>

</dl>

reg.summary: Regional Summaries for Areal Data Modeled by ICAR Reference Prior Model

Description

Usage

Value

Arguments

Author

Examples