NobBS
Nowcasting by Bayesian Smoothing
A Bayesian approach to estimate the number of occurred-but-not-yet-reported cases from incomplete, time-stamped reporting data for disease outbreaks. 'NobBS' learns the reporting delay distribution and the time evolution of the epidemic curve to produce smoothed nowcasts in both stable and time-varying case reporting settings, as described in McGough et al. (2020) <doi:10.1371/journal.pcbi.1007735>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | NobBS_1.1.0.tar.gz |
571.7 KiB |
1.1.0 |
rolling linux/noble R-4.5 | NobBS_1.1.0.tar.gz |
571.6 KiB |
1.1.0 |
rolling source/ R- | NobBS_1.1.0.tar.gz |
547.5 KiB |
1.1.0 |
latest linux/jammy R-4.5 | NobBS_1.1.0.tar.gz |
571.7 KiB |
1.1.0 |
latest linux/noble R-4.5 | NobBS_1.1.0.tar.gz |
571.6 KiB |
1.1.0 |
latest source/ R- | NobBS_1.1.0.tar.gz |
547.5 KiB |
1.1.0 |
2026-04-26 source/ R- | NobBS_1.1.0.tar.gz |
547.5 KiB |
1.1.0 |
2026-04-23 source/ R- | NobBS_1.1.0.tar.gz |
547.5 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | NobBS_1.1.0.zip |
585.6 KiB |
1.0.0 |
2025-04-20 source/ R- | NobBS_1.0.0.tar.gz |
343.4 KiB |