BSTZINB
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) <doi:10.1007/s13253-022-00487-1> for more details on the method.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.1 |
rolling linux/jammy R-4.5 | BSTZINB_2.0.1.tar.gz |
394.3 KiB |
2.0.1 |
rolling linux/noble R-4.5 | BSTZINB_2.0.1.tar.gz |
394.0 KiB |
2.0.1 |
rolling source/ R- | BSTZINB_2.0.1.tar.gz |
269.6 KiB |
2.0.1 |
latest linux/jammy R-4.5 | BSTZINB_2.0.1.tar.gz |
394.3 KiB |
2.0.1 |
latest linux/noble R-4.5 | BSTZINB_2.0.1.tar.gz |
394.0 KiB |
2.0.1 |
latest source/ R- | BSTZINB_2.0.1.tar.gz |
269.6 KiB |
2.0.1 |
2026-04-26 source/ R- | BSTZINB_2.0.1.tar.gz |
269.6 KiB |
2.0.1 |
2026-04-23 source/ R- | BSTZINB_2.0.1.tar.gz |
269.6 KiB |
2.0.1 |
2026-04-09 windows/windows R-4.5 | BSTZINB_2.0.1.zip |
397.5 KiB |
2.0.0 |
2025-04-20 source/ R- | BSTZINB_2.0.0.tar.gz |
264.5 KiB |