binGroup (version 2.2-3)

characteristics.pool: 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)

Value

a list containing:

e

the expected testing expenditure of the pool.

v

the variation of the testing expenditure of the pool.

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.

Author

This function was originally written by Christopher S. McMahan for McMahan et al. (2012). The function was obtained from http://chrisbilder.com/grouptesting/.

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).

References

McMahan2012abinGroup

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)