sph.hp {RSurveillance} | R Documentation |
Hypergeometric population specificity calculation
Description
Calculates population specificity for a finite population and imperfect test, using Hypergeometric distribution
Usage
sph.hp(N, n, c = 1, sp)
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 or vector of same length as n) |
sp |
test unit specificity (scalar or vector of same length as n) |
Value
a vector of population-level specificities
Examples
# examples of sph.hp
sph.hp(150, 30, 2, 0.98)
sph.hp(150, 30, 1, 0.98)
sph.hp(150, 1:5*10, 2, 0.98)
sph.hp(500, 30, 2, 95:100/100)
[Package RSurveillance version 0.2.1 Index]