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Package: NobBS
Title: Nowcasting by Bayesian Smoothing
Version: 0.1.0
Authors@R: c(
person("Sarah", "McGough", email = "", role = c("aut", "cre")),
person("Nicolas", "Menzies", email = "", role = "aut"),
person("Marc", "Lipsitch", email = "", role = "aut"),
person("Michael", "Johansson", email = "", role = "aut")
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. (2019) <doi:10.1101/663823>.
Depends: R (>= 3.3.0)
SystemRequirements: JAGS ( for analysis of Bayesian hierarchical models
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
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