se.parallel: Sensitivity of tests in parallel
In RSurveillance: Design and Analysis of Disease Surveillance Activities
Description
Usage
Arguments
Value
Examples
View source: R/freedom_functions_1.R
Description
Calculates the combined sensitivity for multiple tests
interpreted in parallel (assuming independence)
Usage
1
se.parallel(se)
Arguments
se
vector of unit sensitivity values
Value
scalar of combined sensitivity, assuming independence
Examples
1
2
# examples for se.parallel
se.parallel(c(0.99, 0.95, 0.8))
Example output
[1] 0.9999
RSurveillance documentation built on July 2, 2020, 2:33 a.m.
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Description Usage Arguments Value Examples
View source: R/freedom_functions_1.R
Description
Calculates the combined sensitivity for multiple tests interpreted in parallel (assuming independence)
Usage
1 | se.parallel(se)
|
Arguments
se |
vector of unit sensitivity values |
Value
scalar of combined sensitivity, assuming independence
Examples
1 2 | # examples for se.parallel
se.parallel(c(0.99, 0.95, 0.8))
|
Example output
[1] 0.9999
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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