sep.pooled {RSurveillance} | R Documentation |
Pooled population sensitivity
Description
Calculates population sensitivity (sep) and population specificity (spp) assuming pooled sampling and allowing for imperfect sensitivity and specificity of the pooled test
Usage
sep.pooled(r, k, pstar, pse, psp = 1)
Arguments
r |
number of pools sampled (scalar or vector) |
k |
pool size (scalar or vector of same length as r) |
pstar |
design prevalence (scalar or vector of same length as r) |
pse |
pool-level sensitivity (scalar or vector of same length as r) |
psp |
pool-level specificity (scalar or vector of same length as r) |
Value
list of 2 elements, vector of sep values and vector of spp values
Examples
# examples for sep.pooled
sep.pooled(60, 5, 0.01, 1, 1)
sep.pooled(4, 10, 0.1, 0.9, 1)
sep.pooled(1:10*5, 5, 0.02, 0.9, 0.99)
sep.pooled(10, 5, 0.05, c(0.8, 0.9, 0.95, 0.99), 1)
[Package RSurveillance version 0.2.1 Index]