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JSON-LD Documentation
Created by Rami Yaari, Rodrigo Zepeda Tello, Sarah McGough, Matteo Perini, Michael Johansson, Teresa Yamana, Nicolas Menzies and Marc Lipsitch
Description:

NobBS is 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.

Preview:
https://cran.r-project.org/web/packages/NobBS/index.html

This site was available on the date of the last automated link check. (2026/09/27)

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IdentifierURL: https://cran.r-project.org/web/packages/NobBS/index.html
Type
  • Software
    • Package
Topics/About
  • Modeling
    • Modeling Method
      • Statistical Model
    • Modeling Purpose
      • Forecasting
LanguageEnglish
LicenseMIT License
Rightshttps://cran.r-project.org/web/packages/NobBS/readme/README.html
Accessible For FreeTRUE
Biological Scalepopulation
Software LanguageR
Versionongoing
HTTP Status Code200
HTTP Checked On2026/09/27