characteristics.pool: Testing expenditure for informative Dorfman testing
In binGroup: Evaluation and Experimental Design for Binomial Group Testing

Description Usage Arguments Details Value Author(s) References See Also Examples

Calculate the expectation and variation of the testing expenditure of a pool used with informative Dorfman testing.

1	characteristics.pool(p, se, sp)

`p`	a vector of each individual's probability of infection.
`se`	the sensitivity of the diagnostic test.
`sp`	the specificity of the diagnostic test.

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).

a list containing:

`e`	the expected testing expenditure of the pool.
`v`	the variation of the testing expenditure of the pool.

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

\insertRef

McMahan2012abinGroup

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

# 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)