Association Among Disease Counts and Socio-Environmental Factors R package BSTZINB version 2.0.1 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. Software 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) Suman Majumder <smajumd2@gmail.com> Comprehensive R Archive Network (CRAN) Suman Majumder [cre, aut, cph], Yoon-Bae Jun [aut, cph], Sounak Chakraborty [ctb], Chae-Young Lim [ctb], Tanujit Dey [ctb] GPL (>= 3) 2025-11-19 application/tgz https://CRAN.R-project.org/package=BSTZINB doi:10.32614/CRAN.package.BSTZINB