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.
- Version1.0.0
- R version≥ 3.3.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release01/08/2024
Documentation
Team
Sarah McGough
Nicolas Menzies
Show author detailsRolesAuthorMarc Lipsitch
Show author detailsRolesAuthorMichael Johansson
Show author detailsRolesAuthor
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- Imports5 packages