The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.0.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | dplyr, rlang, rjags, coda, magrittr |
| Published: | 2024-01-08 |
| Author: | Sarah McGough [aut, cre], Nicolas Menzies [aut], Marc Lipsitch [aut], Michael Johansson [aut] |
| Maintainer: | Sarah McGough <sfm341 at mail.harvard.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net/) for analysis of Bayesian hierarchical models |
| Materials: | README NEWS |
| CRAN checks: | NobBS results |
| Reference manual: | NobBS.pdf |
| Package source: | NobBS_1.0.0.tar.gz |
| Windows binaries: | r-devel: NobBS_1.0.0.zip, r-release: NobBS_1.0.0.zip, r-oldrel: NobBS_1.0.0.zip |
| macOS binaries: | r-release (arm64): NobBS_1.0.0.tgz, r-oldrel (arm64): NobBS_1.0.0.tgz, r-release (x86_64): NobBS_1.0.0.tgz, r-oldrel (x86_64): NobBS_1.0.0.tgz |
| Old sources: | NobBS archive |
Please use the canonical form https://CRAN.R-project.org/package=NobBS to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.