BSTZINB: Association Among Disease Counts and Socio-Environmental Factors (original) (raw)
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 |
| 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 |
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