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 |
Author: | Eric Brown [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 |
Reference manual: | covidprobability.pdf |
Vignettes: |
Probability of Undetected COVID-19 on a Unit |
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 |
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