Description Usage Arguments Details Value References See Also Examples

‘gtcorr.hierarchical.user’ calculates the efficiencies of hierarchical group testing procedures, allowing for correlation between units and test error. Cluster arrangements can are specified by the user and probability of testing postive and correlation can vary by cluster.

1 2 | ```
gtcorr.hierarchical.user(n, clusters, p, sigma=0, se=1, sp=1, model =
c("beta-binomial", "Morel-Neerchal", "Madsen"))
``` |

`n` |
a numeric vector of pool sizes where |

`clusters` |
a vector of length |

`p` |
probability of a unit testing positive. If the length is one, then
all clusters have the same probability of testing positive. If the
length is the total number of clusters, then |

`sigma` |
pairwise correlation of two units in a cluster. If the length is one, then
all clusters have the same pairwise correlation. If the length is
the total number of clusters, then |

`se` |
sensitivity. The probability that a pool of units tests positive given than at least one unit in that pool is positive |

`sp` |
specificity. The probability that a pool of units tests negative given that at least one unit in that pool is negative |

`model` |
probability model for clusters. Should be ‘beta-binomial’, ‘Madsen’, or ‘Morel-Neerchal’. |

Units are ordered such that the first pool in stage s contains units
`1, ..., n[s]`

, and the second pool in stage s has units
`(n[s]+1),...,(2*n[s])`

and so forth.

A length one vector containing the efficiency is returned

Samuel D. Lendle, Michael Hudgens, and Bahjat F. Qaqish, "Group Testing for Case Identification with Correlated Responses" Submitted 2011. Biometrics.

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