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DESCRIPTION
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DESCRIPTION
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Package: covidregionaldata
Title: Subnational Data for COVID-19 Epidemiology
Version: 0.9.3
Authors@R:
c(person(given = "Joseph",
family = "Palmer",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0002-5593-9352")),
person(given = "Katharine",
family = "Sherratt",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0003-2049-3423")),
person(given = "Richard",
family = "Martin-Nielsen",
role = "aut",
comment = c(URL = "https://github.com/RichardMN")),
person(given = "Jonnie",
family = "Bevan",
role = "aut",
email = "[email protected]"),
person(given = "Hamish",
family = "Gibbs",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0003-4413-453X")),
person(given = "Hugo",
family = "Gruson",
role = "aut",
comment = c(ORCID = "0000-0002-4094-1476")),
person(given = "Sophie",
family = "Meakin",
role = "ctb",
email = "[email protected]"),
person(given = "Joel",
family = "Hellewell",
role = "ctb",
email = "[email protected]",
comment = c(ORCID = "0000-0003-2683-0849")),
person(given = "Patrick",
family = "Barks",
role = "ctb",
email = "[email protected]"),
person(given = "Paul",
family = "Campbell",
role = "ctb",
email = " [email protected]"),
person(given = "Flavio",
family = "Finger",
role = "ctb",
email = "[email protected]",
comment = c(ORCID = "0000-0002-8613-5170")),
person(given = "Richard",
family = "Boyes",
role = "ctb",
comment = c(URL = "https://github.com/rboyes")),
person(given = "Vang",
family = "Le",
role = "ctb",
comment = c(URL = "https://github.com/biocyberman")),
person(given = "Sebastian",
family = "Funk",
role = "aut",
email = "[email protected]"),
person(given = "Sam Abbott",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0001-8057-8037")))
Description: An interface to subnational and national level COVID-19 data
sourced from both official sources, such as Public Health England in
the UK, and from other COVID-19 data collections, including the World
Health Organisation (WHO), European Centre for Disease Prevention and
Control (ECDC), John Hopkins University (JHU), Google Open Data and
others. Designed to streamline COVID-19 data extraction, cleaning, and
processing from a range of data sources in an open and transparent
way. This allows users to inspect and scrutinise the data, and tools
used to process it, at every step. For all countries supported, data
includes a daily time-series of cases. Wherever available data is also
provided for deaths, hospitalisations, and tests. National level data
are also supported using a range of sources.
License: MIT + file LICENSE
URL: https://epiforecasts.io/covidregionaldata/,
https://github.com/epiforecasts/covidregionaldata/
BugReports: https://github.com/epiforecasts/covidregionaldata/issues/
Depends:
R (>= 3.5.0)
Imports:
countrycode (>= 1.2.0),
dplyr,
httr,
jsonlite,
lifecycle,
lubridate,
memoise,
purrr,
R6,
readxl,
rlang,
stringr,
tidyr (>= 1.0.0),
tidyselect,
vroom,
xml2
Suggests:
ggplot2,
ggspatial,
knitr,
mockery,
rmarkdown,
RSocrata,
rvest,
rworldmap,
sf,
spelling,
testthat (>= 3.0.0),
usethis
VignetteBuilder:
knitr
Config/testthat/edition: 3
Config/Needs/website:
r-lib/pkgdown,
amirmasoudabdol/preferably
Config/Needs/coverage:
covr
Encoding: UTF-8
Language: en-gb
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2