Nothing
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 |
|
---|---|
Author | Rami 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] |
Maintainer | Rami Yaari <ry2460@cumc.columbia.edu> |
License | MIT + file LICENSE |
Version | 1.1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.