klPIE

This function computes the Kullback-Leibler (KL) divergence between two
probability distributions represented by matrices, using a base 10 logarithm.
The function calculates KL divergence in both directions (P || Q and Q || P)
and handles zero probabilities by replacing them with a minimum value to avoid
undefined logarithms.

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

klPIE function

<dl><dt>P</dt>
<dd>A numeric matrix representing the first probability distribution.
The entire matrix should sum to 1.</dd>
<dt>Q</dt>
<dd>A numeric matrix representing the second probability distribution.
The entire matrix should sum to 1.</dd>
<dt>min_value</dt>
<dd>A numeric value representing the minimum value to replace
any zero probabilities. Defaults to <code>1e-12</code>.</dd></dl>

Arguments

Calculate Kullback-Leibler Divergence with Base 10 Logarithm — klPIE

<dl>

<dt>P</dt>
<dd>A numeric matrix representing the first probability distribution.
The entire matrix should sum to 1.</dd>


<dt>Q</dt>
<dd>A numeric matrix representing the second probability distribution.
The entire matrix should sum to 1.</dd>


<dt>min_value</dt>
<dd>A numeric value representing the minimum value to replace
any zero probabilities. Defaults to <code>1e-12</code>.</dd>

</dl>

klPIE: Calculate Kullback-Leibler Divergence with Base 10 Logarithm

Description

Usage

Value

Arguments