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covidprobability: Estimate the Unit-Wide Probability of COVID-19

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 tested negative.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: stats, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2021-02-11
DOI: 10.32614/CRAN.package.covidprobability
Author: Eric Brown ORCID iD [aut, cre], Wei Wang [ctb]
Maintainer: Eric Brown <eb at ericebrown.com>
BugReports: https://github.com/eebrown/covidprobability/issues
License: GPL-3
URL: https://github.com/eebrown/covidprobability
NeedsCompilation: no
Materials: README NEWS
CRAN checks: covidprobability results

Documentation:

Reference manual: covidprobability.pdf
Vignettes: Probability of Undetected COVID-19 on a Unit

Downloads:

Package source: covidprobability_0.1.0.tar.gz
Windows binaries: r-devel: covidprobability_0.1.0.zip, r-release: covidprobability_0.1.0.zip, r-oldrel: covidprobability_0.1.0.zip
macOS binaries: r-release (arm64): covidprobability_0.1.0.tgz, r-oldrel (arm64): covidprobability_0.1.0.tgz, r-release (x86_64): covidprobability_0.1.0.tgz, r-oldrel (x86_64): covidprobability_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.