Package: nowcaster
Title: Statistical Models for Notification Delay Correction of
        Epidemiological Data
Version: 1.0.1
Authors@R: c(
    person("Rafael", "Lopes", , "rafael.lopes@ulb.be", role = c("aut"), 
    comment = c(ORCID = "0000-0002-9416-6145")),
    person("Tatiana", "Portella", , "tatiana.portella@fiocruz.br", role = c("aut"), 
    comment = c(ORCID = "0000-0001-8364-1978")),
    person("Theo", "Economou", , "T.economou@exeter.ac.uk", role = c("aut"), 
    comment = c(ORCID = "0000-0001-8697-1518")),
    person("Marcelo", "Gomes", , "marcelo.gomes@fiocruz.br", role = c("aut"), 
    comment = c(ORCID = "0000-0003-4693-5402")),
    person("Leo", "Bastos", , "leonardo.bastos@fiocruz.br", role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0002-1406-0122")))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
URL: https://covid19br.github.io/nowcaster/
BugReports: https://github.com/covid19br/nowcaster/issues
Suggests: INLA (>= 22.5.3), ggplot2, knitr, rmarkdown, vroom, parallel,
        lubridate, lme4, sn, stringr
Depends: R (>= 4.1.0)
LazyData: true
Additional_repositories: https://inla.r-inla-download.org/R/stable/
Imports: dplyr, tidyr, tibble, mgcv
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-11-13 14:58:45 UTC; lbastos
Author: Rafael Lopes [aut] (ORCID: <https://orcid.org/0000-0002-9416-6145>),
  Tatiana Portella [aut] (ORCID: <https://orcid.org/0000-0001-8364-1978>),
  Theo Economou [aut] (ORCID: <https://orcid.org/0000-0001-8697-1518>),
  Marcelo Gomes [aut] (ORCID: <https://orcid.org/0000-0003-4693-5402>),
  Leo Bastos [aut, cre] (ORCID: <https://orcid.org/0000-0002-1406-0122>)
Maintainer: Leo Bastos <leonardo.bastos@fiocruz.br>
Repository: CRAN
Date/Publication: 2026-11-13 16:10:15 UTC
