simdat

<p>Synthetic dataframe to be used for examples and trial runs</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

simdat function


<div class="section" id="simdat">
<h3><code>simdat</code></h3><p></p><p>
</p><p>A dataframe with 2376 rows and 5 columns: sid (region ID), tid (timepoint), y (count response), V1 (intercept), and x (covariate).</p>
</div>


Format

simdat: A simulated dataset containing response and covariates with region and time information — simdat


<div class='section' id='simdat'>
<h3><code>simdat</code></h3>


<p>A dataframe with 2376 rows and 5 columns: sid (region ID), tid (timepoint), y (count response), V1 (intercept), and x (covariate).</p>
</div>


simdat: simdat: A simulated dataset containing response and covariates with region and time information

Description

Usage

Arguments

Format

`simdat`