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 resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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