RSurveillance (version 0.2.1)

sep.hp: Hypergeometric (HerdPlus) population sensitivity for imperfect test

Description

Calculates population sensitivity for a finite population and allowing for imperfect test sensitivity and specificity, using Hypergeometric distribution

Usage

sep.hp(N, n, c = 1, se, sp = 1, pstar)

Arguments

N

population size (scalar or vector of same length as n)

n

sample size (scalar or vector)

c

The cut-point number of positives to classify a cluster as positive, default=1, if positives < c result is negative, >= c is positive (scalar)

se

test unit sensitivity (scalar)

sp

test unit specificity, default=1 (scalar)

pstar

design prevalence as a proportion (scalar)

Value

a vector of population-level sensitivities

Examples

# NOT RUN {
# examples of sep.hp
sep.hp(150, 1:5*10, 2, 0.9, 0.98, 0.1)
sep.hp(150, 30, 2, 0.9, 0.98, 15)
sep.hp(150, 30, 1, 0.9, 0.98, 15)
sep.hp(150, 30, 1, 0.9, 0.98, 0.1)
# }