bidirectionalKL

This function calculates the Kullback-Leibler divergence for shared genetic markers
between two populations, considering allele frequencies. It normalizes data, adjusts zero frequencies,
and calculates divergence in both directions.

An open source software package written in R statistical language. It consist in a set of decision making tools to conduct missing person searches. Particularly, it allows computing optimal LR threshold for declaring potential matches in DNA-based database search. More recently 'mispitools' incorporates preliminary investigation data based LRs. Statistical weight of different traces of evidence such as biological sex, age and hair color are presented. For citing mispitools please use the following references: Marsico and Caridi, 2023 <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. 2021 <doi:10.1016/j.fsigen.2021.102519>.

Franco Marsico

mispitools

Missing Person Identification Tools

bidirectionalKL function

<dl><dt>data1</dt>
<dd>DataFrame with allele frequencies for the first population.</dd>
<dt>data2</dt>
<dd>DataFrame with allele frequencies for the second population.</dd>
<dt>minFreq</dt>
<dd>Minimum frequency to be considered for unobserved or poorly observed alleles.</dd></dl>

Arguments

Kullback-Leibler Divergence Calculation for Genetic Markers — bidirectionalKL

<dl>

<dt>data1</dt>
<dd>DataFrame with allele frequencies for the first population.</dd>


<dt>data2</dt>
<dd>DataFrame with allele frequencies for the second population.</dd>


<dt>minFreq</dt>
<dd>Minimum frequency to be considered for unobserved or poorly observed alleles.</dd>

</dl>

bidirectionalKL: Kullback-Leibler Divergence Calculation for Genetic Markers

Description

Usage

Value

Arguments

Examples