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.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5) |
| Imports: | BayesLogit,boot,coda,dplyr,ggplot2,gt,gtsummary,maps,matrixcalc,MCMCpack, methods,msm,reshape,spam,viridis |
| Suggests: | knitr,rmarkdown,CorrMixed,ape,testthat (≥ 3.0.0) |
| Published: | 2025-11-19 |
| DOI: | 10.32614/CRAN.package.BSTZINB |
| 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 at gmail.com> |
| BugReports: | https://github.com/SumanM47/BSTZINB/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/SumanM47/BSTZINB |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | BSTZINB results |