tp.normal {RSurveillance} | R Documentation |
Normal approximation confidence limits for true prevalence
Description
Estimates true prevalence and confidence limits for estimates based on normal approximation
Usage
tp.normal(x, n, se, sp, conf = 0.95)
Arguments
x |
number of positive results in sample (scalar or vector) |
n |
sample size (scalar or vector) |
se |
test unit sensitivity (scalar or vector) |
sp |
test unit specificity (scalar or vector) |
conf |
desired level of confidence for CI, default = 0.95 (scalar or vector) |
Value
list with 2 elements, a matrix of apparent prevalence and wilson lower and upper confidence limits and a matrix of true prevalence and normal approximation lower and upper confidence limits
Examples
# examples for tp.normal
tp.normal(25, 120, 0.9, 0.99)
tp.normal(seq(5, 25, by=5), 120, 0.9, 0.99)
[Package RSurveillance version 0.2.1 Index]