characteristics.pool: Testing expenditure for informative Dorfman testing
View source: R/Dorfman.Functions.R
| characteristics.pool | R Documentation |
Testing expenditure for informative Dorfman testing
Description
Calculate the expectation and variation of the testing expenditure of a pool used with informative Dorfman testing.
Usage
characteristics.pool(p, se, sp)
Arguments
p |
a vector of each individual's probability of infection. |
se |
the sensitivity of the diagnostic test. |
sp |
the specificity of the diagnostic test. |
Details
This function calculates the expected value and variance of the testing expenditure of a pool of size greater than or equal to one used with informative Dorfman testing. Calculations of these measures are done using the equations presented in McMahan et al. (2012).
Value
a list containing:
e |
the expected testing expenditure of the pool. |
v |
the variation of the testing expenditure of the pool. |
Author(s)
This function was originally written by Christopher S. McMahan for McMahan et al. (2012). The function was obtained from http://chrisbilder.com/grouptesting/.
References
\insertRefMcMahan2012abinGroup
See Also
http://chrisbilder.com/grouptesting/
Other Informative Dorfman functions:
accuracy.dorf(),
inf.dorf.measures(),
opt.info.dorf(),
opt.pool.size(),
pool.specific.dorf(),
thresh.val.dorf()
Examples
# This example takes less than 1 second to run.
# Estimated running time was calculated using a
# computer with 16 GB of RAM and one core of an
# Intel i7-6500U processor.
set.seed(8135)
p.vec <- p.vec.func(p=0.02, alpha=1, grp.sz=10)
characteristics.pool(p=p.vec[1:3], se=0.90, sp=0.90)
