Package: nowcaster Title: Statistical Models for Notification Delay Correction of Epidemiological Data Version: 1.0.1 Authors@R: c( person("Rafael", "Lopes", , "rafael.lopes@yale.edu", 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) . License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) 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 Config/pak/sysreqs: libicu-dev Repository: https://covid19br.r-universe.dev Date/Publication: 2026-09-18 17:43:11 UTC RemoteUrl: https://github.com/covid19br/nowcaster RemoteRef: HEAD RemoteSha: c99896364ece917c875913bf49693c4f2180e0c7 NeedsCompilation: no Packaged: 2026-09-18 19:51:13 UTC; root Author: Rafael Lopes [aut] (ORCID: ), Tatiana Portella [aut] (ORCID: ), Theo Economou [aut] (ORCID: ), Marcelo Gomes [aut] (ORCID: ), Leo Bastos [aut, cre] (ORCID: ) Maintainer: Leo Bastos