RSurveillance (version 0.2.1)

disc.prior: Discounted prior probability of freedom

Description

Calculates the discounted prior probability of disease freedom, after adjusting for the probability of disease exceeding the design prevalence during the time period of the surveillance data being analysed

Usage

disc.prior(prior, p.intro)

Arguments

prior

prior probability of freedom before surveillance

p.intro

probability of introduction (or of prevalence exceeding the design prevalence) during the time period (scalar or vector equal length to prior)

Value

vector of discounted prior probabilities of freedom

Examples

# NOT RUN {
# examples for disc.prior
disc.prior(0.5, 0.01)
disc.prior(0.95, c(0.001, 0.005, 0.01, 0.02, 0.05))
disc.prior(c(0.5, 0.6, 0.7, 0.8, 0.9, 0.95), 0.01)
# }