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>.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | dplyr,rlang,rjags,coda,magrittr |
| Suggests: | knitr,rmarkdown,scoringutils (≥ 2.0.0),ggplot2 |
| Published: | 2025-05-07 |
| DOI: | 10.32614/CRAN.package.NobBS |
| 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 at cumc.columbia.edu> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net/) foranalysis of Bayesian hierarchical models |
| Materials: | README,NEWS |
| CRAN checks: | NobBS results |
| Package source: | NobBS_1.1.0.tar.gz |
| Windows binaries: | r-devel:NobBS_1.1.0.zip, r-release:NobBS_1.1.0.zip, r-oldrel:NobBS_1.1.0.zip |
| macOS binaries: | r-release (arm64):NobBS_1.1.0.tgz, r-oldrel (arm64):NobBS_1.1.0.tgz, r-release (x86_64):NobBS_1.1.0.tgz, r-oldrel (x86_64):NobBS_1.1.0.tgz |
| Old sources: | NobBS archive |
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