county.adjacency

<p>Data set containing neighborhood information for counties in the US, to be used to create adjacency matrices</p>

datasets

Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.

Suman Majumder

BSTZINB

Association Among Disease Counts and Socio-Environmental Factors

Yoon-Bae Jun

Sounak Chakraborty

Chae-Young Lim

Tanujit Dey

county.adjacency function


<div class="section" id="county-adjacency">
<h3><code>county.adjacency</code></h3><p></p><p>
</p><p>A dataframe with 22200 rows and 4 columns</p>
</div>


Format

county.adjacency: A dataframe containing neighborhood information for counties in the US — county.adjacency


<div class='section' id='county-adjacency'>
<h3><code>county.adjacency</code></h3>


<p>A dataframe with 22200 rows and 4 columns</p>
</div>


county.adjacency: county.adjacency: A dataframe containing neighborhood information for counties in the US

Description

Usage

Arguments

Format

`county.adjacency`