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.
nowcaster: Statistical Models for Notification Delay Correction of
Epidemiological Data
Statistical models for correcting notification delays of epidemiological data. The package wraps statistical models to estimate not yet reported data using empirical delay distribution either from individual-level data or from the differences of aggregated time series of cases. For more details see Bastos et al. (2019) <doi:10.1002/sim.8303>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
dplyr, tidyr, tibble, mgcv |
| Suggests: |
INLA (≥ 22.5.3), ggplot2, knitr, rmarkdown, vroom, parallel, lubridate, lme4, sn, stringr |
| Published: |
2026-09-17 |
| DOI: |
10.32614/CRAN.package.nowcaster |
| Author: |
Rafael Lopes 
[aut],
Tatiana Portella
[aut],
Leo Bastos [aut,
cre] |
| Maintainer: |
Leo Bastos <leonardo.bastos at fiocruz.br> |
| BugReports: |
https://github.com/covid19br/nowcaster/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://covid19br.github.io/nowcaster/ |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable/ |
| CRAN checks: |
nowcaster results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=nowcaster
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.