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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:

Please use the canonical form https://CRAN.R-project.org/package=covidprobability to link to this page.

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.
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