Package: covidprobability 0.1.0

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.

Authors:Eric Brown [aut, cre], Wei Wang [ctb]

covidprobability_0.1.0.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
covidprobability/json (API)
NEWS

# Install 'covidprobability' in R:
install.packages('covidprobability', repos = c('https://eebrown.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/eebrown/covidprobability/issues

Datasets:
  • sens - COVID-19 PCR sensitivity by days since exposure

On CRAN:

Conda:

3.70 score 1 stars 4 scripts 181 downloads 7 exports 0 dependencies

Last updated from:4d92ce05fa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK158
linux-release-x86_64OK118
macos-release-arm64OK180
macos-oldrel-arm64OK178
windows-develOK114
windows-releaseOK111
windows-oldrelOK60
wasm-releaseOK92

Exports:adjust_pretestcalc_postest_probindividual_probabilityposttest_seriesprobability_anyprop_remainingunit_probability

Dependencies:

Probability of Undetected COVID-19 on a Unit

Rendered fromunit-example.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2021-02-12
Started: 2021-01-21