sep.prior: Population sensitivity to achieve desired prior probability...

In RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

Calculates the population sensitivity required to achieve a given value for the prior (discounted) probability of disease freedom

Usage

sep.prior(prior, p.intro)

Arguments

prior	prior probability of freedom before surveillance (scalar or vector)
p.intro	probability of introduction for time period (scalar or vector equal length to sep)

Value

a vector of population-level sensitivities

Examples

# examples of sep.prior
sep.prior(0.95, 0.01)
sep.prior(c(0.9, 0.95, 0.98, 0.99), 0.01)
sep.prior(0.95, c(0.001, 0.005, 0.01, 0.02, 0.05))

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