Packaged: 2022-10-05 19:03:24 UTC; alexreinhart

Title: Estimate the Unit-Wide Probability of COVID-19
Description: We propose a method to estimate the probability of an
undetected case of COVID-19 in a defined setting, when a given number of
people have been exposed, with a given pretest probability of having
COVID-19 as a result of that exposure. Since we are interested in undetected
COVID-19, we assume no person has developed symptoms (which would warrant
further investigation) and that everyone was tested on a given day, and all
Packaged: 2021-02-07 16:31:02 UTC; ericbrown

Title: Subnational Data for the Covid-19 Outbreak
Authors@R: c(person(given = "Sam Abbott",
Description: An interface to subnational and national level Covid-19 data.
For all countries supported, this includes a daily time-series of cases.
Wherever available we also provide  data on deaths, hospitalisations, and tests.
National level data is also supported using a range of data sources as well as
linelist data and links to intervention data sets. Data sources included:
and geocoding data (Colombia: <https://en.wikipedia.org/wiki/ISO_3166-2:CO>; Russia: <https://en.wikipedia.org/wiki/ISO_3166-2:RU>).
Imports: readr, dplyr, tibble, purrr, stringr, magrittr, memoise,
lubridate, tidyr, httr, yaml, readxl, xml2, rvest, jsonlite,
Suggests: data.table, pkgdown, testthat, spelling

lubridate, tidyr (>= 1.0.0), httr, yaml, readxl, xml2, rvest,

comment = c(URL = "https://github.com/rboyes"),
Suggests: data.table, pkgdown, testthat, spelling, knitr, rmarkdown,

Title: Subnational Data for the COVID-19 Outbreak
comment = c(URL = "https://github.com/RichardMN")),
comment = c(URL = "https://github.com/rboyes")),
Description: An interface to subnational and national level COVID-19 data.
For all countries supported, this includes a daily time-series of
cases.  Wherever available we also provide data on deaths,
hospitalisations, and tests.  National level data is also supported
using a range of data sources as well as line list data and links to
Imports: countrycode (>= 1.2.0), dplyr, httr, lifecycle, lubridate,
magrittr, memoise, purrr, R6, readxl, rlang, rvest, stringr,
tibble, tidyr (>= 1.0.0), tidyselect, vroom, withr, xml2
Suggests: ggplot2, knitr, mockery, pkgdown, rmarkdown, rworldmap,