<code>pmf</code> is a generic function that extracts the probability
 mass function from an object (if available) that contains information
 aboout a testing configuration.

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 function

<dl><dt>object</dt>
<dd>An object from which the probability mass function is to be extracted.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to <code>pmf</code>.</dd></dl>

Arguments

Author

Access the testing probability mass function returned from an object — pmf

<dl>

<dt>object</dt>
<dd>An object from which the probability mass function is to be extracted.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to <code>pmf</code>.</dd>

</dl>

Access the testing probability mass function returned from an object

pmf: Access the testing probability mass function returned from an object

Description

Usage

Arguments

Author

See Also

Examples