pmf.halving

Extract the probability mass function from group testing results
for the halving algorithm (objects of class "halving" returned
by <code>halving</code>).

Methods for the group testing identification problem: 1) Operating
characteristics (e.g., expected number of tests) for commonly used
hierarchical and array-based algorithms, and 2) Optimal testing
configurations for these same algorithms. Methods for the group testing
estimation problem: 1) Estimation and inference procedures for an overall
prevalence, and 2) Regression modeling for commonly used hierarchical and
array-based algorithms.

Brianna Hitt

binGroup2

Identification and Estimation using Group Testing

Christopher Bilder

Frank Schaarschmidt

Brad Biggerstaff

Christopher McMahan

Joshua Tebbs

Boan Zhang

Michael Black

Peijie Hou

Peng Chen

Minh Nguyen

pmf.halving function

<dl><dt>object</dt>
<dd>An object of class "halving", created by <code>halving</code>,
from which the PMF is to be extracted.</dd>
<dt>...</dt>
<dd>currently not used.</dd></dl>

Arguments

Author

Extract probability mass function (PMF) from group testing results — pmf.halving

<dl>

<dt>object</dt>
<dd>An object of class "halving", created by <code>halving</code>,
from which the PMF is to be extracted.</dd>


<dt>...</dt>
<dd>currently not used.</dd>

</dl>

Extract probability mass function (PMF) from group testing results

pmf.halving: Extract probability mass function (PMF) from group testing results

Description

Usage

Value

Arguments

Author

Examples