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BSTZINB: Association Among Disease Counts and Socio-Environmental Factors
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.
Getting started
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Package details |
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| Author | Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb] |
| Maintainer | Suman Majumder <smajumd2@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.0.0 |
| URL | https://github.com/SumanM47/BSTZINB |
| Package repository | View on CRAN |
| Installation |
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