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>.

Package details

AuthorRami Yaari [cre, aut], Rodrigo Zepeda Tello [aut, ctb], Sarah McGough [aut, ctb], Nicolas Menzies [aut], Marc Lipsitch [aut], Michael Johansson [aut], Teresa Yamana [ctb], Matteo Perini [ctb]
MaintainerRami Yaari <ry2460@cumc.columbia.edu>
LicenseMIT + file LICENSE
Version1.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("NobBS")

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NobBS documentation built on June 8, 2025, 11:44 a.m.