ggplot2, aweek (>= 0.2.0), rlang, dplyr (>= 1.0.0), tibble,
ellipsis, vctrs, magrittr, pillar, data.table

ggplot2, aweek (>= 0.2.0), dplyr (>= 1.0.0), tibble, ellipsis,
vctrs, magrittr, pillar, data.table, stats, graphics
outbreaks, knitr, rmarkdown, covr, testthat

Provides functions and classes to compute, handle and visualise
incidence from dated events for a defined time interval. Dates can be
provided in various standard formats. The class 'incidence2' is used to store
computed incidence and can be easily manipulated, subsetted, and plotted.
This package is part of the RECON (<https://www.repidemicsconsortium.org/>)
toolkit for outbreak analysis (<https://www.reconverse.org>).
tibble, ellipsis, vctrs, pillar, data.table, stats, graphics,
rlang (>= 0.1.2), tidyselect, grates
outbreaks, knitr, rmarkdown, covr, testthat, dplyr (>=
1.0.0), scales, roxygen2, ggplot2, magrittr

c(
person("Tim", "Taylor", role = c("aut", "cre"), email = "tim.taylor@hiddenelephants.co.uk",
comment = c(ORCID = "0000-0002-8587-7113")),
person("Thibaut", "Jombart", role = "ctb", email = "thibautjombart@gmail.com"),
person("Zhian N.", "Kamvar", role = "ctb", email = "zkamvar@gmail.com",
comment = c(ORCID = "0000-0003-1458-7108"))
)
tibble, ellipsis, vctrs, pillar, data.table, stats, rlang (>=
0.1.2), tidyselect, grates, tidyr
outbreaks, knitr, rmarkdown, testthat, dplyr (>= 1.0.0),
scales, roxygen2, ggplot2, magrittr, covr
Tim Taylor [aut, cre] (<https://orcid.org/0000-0002-8587-7113>),
Thibaut Jombart [ctb],
Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>)

tibble, ellipsis, vctrs, pillar, data.table, stats, rlang (>=
0.1.2), tidyselect, grates, tidyr, dplyr, clock, lifecycle
outbreaks, knitr, rmarkdown, testthat, scales, roxygen2,
ggplot2, magrittr, covr, zoo

tibble, ellipsis, vctrs, pillar, data.table, stats, rlang (>=
0.1.2), tidyselect, grates (>= 0.3.0), dplyr, clock

Implements Empirical Bayes Incidence Curves
c(person("Andrew", "Miller", email = "acmiller@apple.com",
role = c("aut")),
person("Lauren", "Hannah", email = "lauren_hannah@apple.com",
role = c("aut", "cre")),
person("Nicholas", "Foti", email = "nicholas_foti@apple.com",
role = "aut"),
person("Joseph", "Futoma", email = "jfutoma@apple.com",
role = "aut"),
person("Apple, Inc.", email = "hai@apple.com", role = "cph"))
Make empirical Bayes incidence curves from reported case data using a specified delay distribution.
ggplot2, MASS, matrixStats, numDeriv, dlnm, stats, utils
Andrew Miller [aut],
Lauren Hannah [aut, cre],
Nicholas Foti [aut],
Joseph Futoma [aut],
Apple, Inc. [cph]