synth_dat_IA

<p>Dataframe to be used to check the functions work properly on synthetic data</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

synth_dat_IA function


<div class="section" id="synth-dat-ia">
<h3><code>synth_dat_IA</code></h3><p></p><p>
</p><p>A dataframe with 99 rows and 4 columns: sid (ID number for each county in Iowa where the response was recorded), tid (Time point when the response were recorded), y (Response) and x (Covariate used to generate the data).</p>
</div>


Format

synth_dat_IA: A dataset containing county-wise synthsized counts for the state of Iowa over 16 time points and a covariate used to generate the data — synth_dat_IA


<div class='section' id='synth-dat-ia'>
<h3><code>synth_dat_IA</code></h3>


<p>A dataframe with 99 rows and 4 columns: sid (ID number for each county in Iowa where the response was recorded), tid (Time point when the response were recorded), y (Response) and x (Covariate used to generate the data).</p>
</div>


synth_dat_IA: synth_dat_IA: A dataset containing county-wise synthsized counts for the state of Iowa over 16 time points and a covariate used to generate the data

Description

Usage

Arguments

Format

`synth_dat_IA`