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 (may not be active yet) |
| 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 |