sep.pfree: Population sensitivity to achieve desired (posterior)...
In RSurveillance: Design and Analysis of Disease Surveillance Activities

Calculates the population sensitivity required to achieve a given value for probability of disease freedom

1	sep.pfree(prior, pfree)

`prior`	prior probability of freedom before surveillance (scalar or vector)
`pfree`	desired probability of freedom (scalar or vector)

a vector of population-level sensitivities

# examples of sep.pfree
sep.pfree(0.5, 0.95)
sep.pfree(c(0.5, 0.6, 0.7, 0.8, 0.9, 0.95), 0.99)
sep.pfree(0.5, c(0.8, 0.9, 0.95, 0.99))

RSurveillance documentation built on July 2, 2020, 2:33 a.m.

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