This package provides the functions, data and documentation that support a calculator to determine the probability of an undetected COVID-19 infection in a setting/unit after a potential exposure, testing, and when there are no symptomatic cases. For a detailed explanation of the rationale and implementation, please see the vignette.

## Shiny

An interactive web app of this calculator is available.

## Installation

You can install the latest CRAN version of covidprobability from with:

install.packages("covidprobability")

devtools::install.github("eebrown/covidprobability")

### Disclaimer

This is an exploratory model and may contain errors. Please see the vignette for assumptions and limitations of the model. It should not be relied upon for clinical decisions.

## Example


library(covidprobability)

test_n <- unit_probability(test_day = 9, pre0 =  0.13, sens = sens, spec = 1,
asympt = 0.279, days = 14, mu = 1.63, sigma = 0.5,
n = 10)