pool.specific.dorf: Find the optimal pool sizes for Pool-Specific Optimal Dorfman...

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

View source: R/Dorfman.Functions.R

Description

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

Usage

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

Arguments

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.

Details

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.

Value

The optimal set of pool sizes for PSOD testing.

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

\insertRef

McMahan2012abinGroup

See Also

http://chrisbilder.com/grouptesting

Other Informative Dorfman functions: accuracy.dorf, characteristics.pool, inf.dorf.measures, opt.info.dorf, opt.pool.size, thresh.val.dorf

Examples

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# 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)

binGroup documentation built on Aug. 24, 2018, 5:05 p.m.