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: |
2.0.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
BayesLogit, boot, coda, dplyr, ggplot2, gt, gtsummary, maps, matrixcalc, MCMCpack, msm, reshape, spam, viridis |
| Suggests: |
knitr, rmarkdown, CorrMixed, ape, testthat (≥ 3.0.0) |
| Published: |
2025-01-30 |
| 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 |