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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "NobBS" in publications use:'
type: software
license: MIT
title: 'NobBS: Nowcasting by Bayesian Smoothing'
version: 1.0.0
doi: 10.32614/CRAN.package.NobBS
abstract: 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) <https://doi.org/10.1371/journal.pcbi.1007735>.
authors:
- family-names: McGough
  given-names: Sarah
  email: sfm341@mail.harvard.edu
- family-names: Menzies
  given-names: Nicolas
  email: nmenzies@hsph.harvard.edu
- family-names: Lipsitch
  given-names: Marc
  email: mlipsitc@hsph.harvard.edu
- family-names: Johansson
  given-names: Michael
  email: mjohansson@cdc.gov
repository: https://sarahhbellum.r-universe.dev
commit: 7216e335aceae9f23f15d141abaf5436b527919b
contact:
- family-names: McGough
  given-names: Sarah
  email: sfm341@mail.harvard.edu