pfree.1: Probability of freedom for single time period

In evansergeant/RSurveillance: Design and Analysis of Disease Surveillance Activities

Description

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

Usage

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

Arguments

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)

Value

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

Examples

# 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)

evansergeant/RSurveillance documentation built on Nov. 8, 2019, 1:32 a.m.