Association Among Disease Counts and Socio-Environmental Factors

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) for more details on the method.


Installing BSTZINB

You can install the BSTZINB package by running the following code snippet in your R Console:

install.packages('BSTZINB')

Using BSTZINB

Please see the vignette for different functions available in the package and their usage. You can access the vignette by using the vignette function: vignette("BSTZINB_vignette",package="BSTZINB")

Reference manual

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install.packages("BSTZINB")

2.0.1 by Suman Majumder, a year ago


https://github.com/SumanM47/BSTZINB


Report a bug at https://github.com/SumanM47/BSTZINB/issues


Browse source code at https://github.com/cran/BSTZINB


Authors: Suman Majumder [cre, aut, cph] , Yoon-Bae Jun [aut, cph] , Sounak Chakraborty [ctb] , Chae-Young Lim [ctb] , Tanujit Dey [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports BayesLogit, boot, coda, dplyr, ggplot2, gt, gtsummary, maps, matrixcalc, MCMCpack, methods, msm, reshape, spam, viridis

Suggests knitr, rmarkdown, CorrMixed, ape, testthat


See at CRAN