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NobBS  

Nowcasting by Bayesian Smoothing
View on CRAN: Click here


Download and install NobBS package within the R console
Install from CRAN:
install.packages("NobBS")

Install from Github:
library("remotes")
install_github("cran/NobBS")

Install by package version:
library("remotes")
install_version("NobBS", "1.1.0")



Attach the package and use:
library("NobBS")
Maintained by
Sarah McGough
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-03
Latest Update: 2025-05-07
Description:
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) .
How to cite:
Sarah McGough (2020). NobBS: Nowcasting by Bayesian Smoothing. R package version 1.1.0, https://cran.r-project.org/web/packages/NobBS. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2020-03-03 11:40), 1.0.0 (2024-01-08 11:50), 1.1.0 (2025-05-07 14:30), (2026-07-09 08:15)
Other packages that cited NobBS R package
View NobBS citation profile
Other R packages that NobBS depends, imports, suggests or enhances
Complete documentation for NobBS
Functions, R codes and Examples using the NobBS R package
Some associated functions: NobBS . NobBS.strat . denguedat . 
Some associated R codes: NobBS.R . NobBS_stratified.R . denguedat.R .  Full NobBS package functions and examples
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