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BSTZINB
View on CRAN: Click
here
Download and install BSTZINB package within the R console
Install from CRAN:
install.packages("BSTZINB")
Install from Github:
library("remotes")
install_github("cran/BSTZINB")
Install by package version:
library("remotes")
install_version("BSTZINB", "2.0.0")
Attach the package and use:
library("BSTZINB")
Maintained by
Suman Majumder
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BSTZINB . https://github.com/SumanM47/BSTZINB/issues . https://github.com/SumanM47/BSTZINB . BSTZINB results . BSTZINB.pdf . BSTZINB_vignette . BSTZINB_2.0.0.tar.gz . BSTZINB_2.0.0.zip . BSTZINB_2.0.0.zip . BSTZINB_2.0.0.zip . BSTZINB_2.0.0.tgz . BSTZINB_2.0.0.tgz . BSTZINB_2.0.0.tgz . BSTZINB_2.0.0.tgz . BSTZINB_2.0.0.tgz . BSTZINB_2.0.0.tgz . BSTZINB archive . https://CRAN.R-project.org/package=BSTZINB .
First Published: 2024-10-31
Latest Update: 2024-10-31
Description:
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.
How to cite:
Suman Majumder (2024). BSTZINB: Association Among Disease Counts and Socio-Environmental Factors. R package version 2.0.0, https://cran.r-project.org/web/packages/BSTZINB. Accessed 17 Feb. 2025.
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