pool.specific.dorf: Find the optimal pool sizes for Pool-Specific Optimal Dorfman...
In binGroup: Evaluation and Experimental Design for Binomial Group Testing

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

Find the set of optimal pool sizes for Pool-Specific Optimal Dorfman (PSOD) testing.

1	pool.specific.dorf(p, max.p, se, sp)

`p`	a vector of each individual's probability of infection.
`max.p`	the maximum allowable pool size.
`se`	the sensitivity of the diagnostic test.
`sp`	the specificity of the diagnostic test.

This function finds the set of optimal pool sizes for PSOD testing. PSOD testing uses a greedy algorithm and does not consider all possible sets of pool sizes. See McMahan et al. (2012) for additional details on the implementation of PSOD testing.

The optimal set of pool sizes for PSOD testing.

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, characteristics.pool, inf.dorf.measures, opt.info.dorf, opt.pool.size, 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)
pool.specific.dorf(p=p.vec, max.p=3, se=0.95, sp=0.95)