pfree.1: Probability of freedom for single time period
In RSurveillance: Design and Analysis of Disease Surveillance Activities

Description Usage Arguments Value Examples

Calculates the posterior probability (confidence) of disease freedom (negative predictive value) for a single time period

1	pfree.1(sep, p.intro, prior = 0.5)

`sep`	population sensitivity for time period (scalar or vector)
`p.intro`	probability of introduction for time period (scalar or vector of same length as sep)
`prior`	prior probability of freedom before surveillance (scalar or vector of same length as sep)

data.frame with columns for sep, p.intro, discounted prior, pfree, pfree.equ and prior.equ

# examples for pfree.1
pfree.1(0.8, 0.01, 0.5)
pfree.1(0.6, c(0.001, 0.005, 0.01, 0.02, 0.05), 0.5)
pfree.1(runif(10, 0.4, 0.6), 0.01, 0.5)
pfree.1(runif(10, 0.4, 0.6), runif(10, 0.005, 0.015), 0.5)