multi_kl_divergence

This function calculates the Kullback-Leibler divergence for all pairs of provided datasets,
considering allele frequencies. It normalizes data, adjusts zero frequencies,
and computes KL divergence in both directions for each pair.

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

multi_kl_divergence function

<dl><dt>datasets</dt>
<dd>List of dataframes, each containing allele frequencies for different populations.</dd>
<dt>minFreq</dt>
<dd>Minimum frequency to be considered for unobserved or poorly observed alleles.</dd></dl>

Arguments

Multi-dataset Kullback-Leibler Divergence Calculation — multi_kl_divergence

<dl>

<dt>datasets</dt>
<dd>List of dataframes, each containing allele frequencies for different populations.</dd>


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

</dl>

multi_kl_divergence: Multi-dataset Kullback-Leibler Divergence Calculation

Description

Usage

Value

Arguments

Examples