Package: EpiSoon
Type: Package
Title: Forecast Cases Using Reproduction Numbers
Version: 0.3.1
Authors@R: c(
    person(given = "Sam Abbott",
           role = c("aut", "cre"),
           email = "contact@samabbott.co.uk",
           comment = c(ORCID = "0000-0001-8057-8037")),
    person(given = "Nikos",
           family = "Bosse",
           role = c("aut"),
           email = "nikosbosse@gmail.com"),
    person("Joel", "Hellewell",
           email = "joel.hellewell@lshtm.ac.uk", 
           role = c("aut"),
           comment = c(ORCID = "0000-0003-2683-0849")),
    person("Katharine", "Sherratt", 
           email = "katharine.sherratt@lshtm.ac.uk", 
           role = c("aut")),  
    person("James", "Munday", 
           email = "james.munday@lshtm.ac.uk", 
           role = c("aut")), 
    person("Robin", "Thompson", 
           email = "robin.thompson@lshtm.ac.uk", 
           role = c("aut")), 
    person("Aurelien", "Chateigner", 
           email = "aurelien.chateigner@inrae.fr", 
           role = c("aut")),
    person("Sylvain", "Mareschal", 
           email = "mareschal@ovsa.fr", 
           role = c("aut")),
    person("Andrea", "Rau", 
           email = "andrea.rau@inrae.fr", 
           role = c("aut")),
    person("Nathalie", "Vialaneix", 
           email = "nathalie.vialaneix@inrae.fr", 
           role = c("aut")),
    person(given = "Michael",
           family = "DeWitt",
           role = c("aut"),
           email = "me.dewitt.jr@gmail.com",
           comment = c(ORCID = "0000-0001-8940-1967")),
    person("Sebastian", "Funk", 
            email = "sebastian.funk@lshtm.ac.uk", 
            role = c("aut")))
Description: To forecast the time-varying reproduction number and use
        this to forecast reported case counts. Includes tools to
        evaluate a range of models across samples and time series using
        proper scoring rules.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Depends: R (>= 3.3.0)
Imports: scoringutils (>= 2.0.0), purrr, furrr, magrittr, dplyr, tidyr,
        rlang, tibble, data.table, lubridate, ggplot2, cowplot,
        HDInterval, R.utils, lopensemble
Remotes: epiforecasts/lopensemble
Suggests: knitr, rmarkdown, fable, fabletools, tsibble, forecastHybrid,
        forecast, fable, feasts, future.apply, bsts, brms, tidybayes,
        testthat, covr
VignetteBuilder: knitr
Config/pak/sysreqs: libicu-dev
Repository: https://epiforecasts.r-universe.dev
Date/Publication: 2025-06-19 13:21:54 UTC
RemoteUrl: https://github.com/epiforecasts/EpiSoon
RemoteRef: v0.3.2
RemoteSha: 03a8b80001c1241ba8064c0ec147864f86745f75
NeedsCompilation: no
Packaged: 2026-07-04 09:24:45 UTC; root
Author: Sam Abbott [aut, cre] (ORCID: <https://orcid.org/0000-0001-8057-8037>),
  Nikos Bosse [aut],
  Joel Hellewell [aut] (ORCID: <https://orcid.org/0000-0003-2683-0849>),
  Katharine Sherratt [aut],
  James Munday [aut],
  Robin Thompson [aut],
  Aurelien Chateigner [aut],
  Sylvain Mareschal [aut],
  Andrea Rau [aut],
  Nathalie Vialaneix [aut],
  Michael DeWitt [aut] (ORCID: <https://orcid.org/0000-0001-8940-1967>),
  Sebastian Funk [aut]
Maintainer: Sam Abbott <contact@samabbott.co.uk>