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

View source: R/Dorfman.Functions.R

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.

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`

1 2 3 4 5 6 7 | ```
# 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)
``` |

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

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