subsetDVI

Joint DNA-based disaster victim identification (DVI), as
described in Vigeland and Egeland (2021)
<doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by
optimising the joint likelihood of all victim samples and reference
individuals. Individual identification probabilities, conditional on
all available information, are derived from the joint solution in the
form of posterior pairing probabilities. 'dvir' is part of the
'pedsuite' collection of packages for pedigree analysis.

Magnus Vigeland

dvir

Disaster Victim Identification

Magnus Dehli Vigeland

Thore Egeland

subsetDVI function

<dl><dt>dvi</dt>
<dd>A <code>dviData()</code> object</dd>
<dt>pm</dt>
<dd>A vector with names or indices of victim samples. By
default, all are included.</dd>
<dt>am</dt>
<dd>A vector with names or indices of AM components. By
default, components without remaining missing individuals are dropped.</dd>
<dt>missing</dt>
<dd>A vector with names or indices of missing persons. By
default, all missing persons in the remaining AM families are included.</dd>
<dt>verbose</dt>
<dd>A logical.</dd></dl>

Arguments

Extract a subset of a DVI dataset — subsetDVI

<dl>

<dt>dvi</dt>
<dd>A <code>dviData()</code> object</dd>


<dt>pm</dt>
<dd>A vector with names or indices of victim samples. By
default, all are included.</dd>


<dt>am</dt>
<dd>A vector with names or indices of AM components. By
default, components without remaining missing individuals are dropped.</dd>


<dt>missing</dt>
<dd>A vector with names or indices of missing persons. By
default, all missing persons in the remaining AM families are included.</dd>


<dt>verbose</dt>
<dd>A logical.</dd>

</dl>

subsetDVI: Extract a subset of a DVI dataset

Description

Usage

Value

Arguments

Examples