compute_LRs_colors

This function calculates the Likelihood Ratios (LRs) for each combination of hair colour,
skin colour, and eye colour between two datasets. It assumes one dataset (<code>conditioned</code>)
contains numerators and the other (<code>unconditioned</code>) contains denominators.

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

compute_LRs_colors function

<dl><dt>conditioned</dt>
<dd>A dataframe with at least the columns 'hair_colour', 'skin_colour',
'eye_colour', and 'numerators'.</dd>
<dt>unconditioned</dt>
<dd>A dataframe with at least the columns 'hair_colour', 'skin_colour',
'eye_colour', and 'f_h_s_y'.</dd></dl>

Arguments

Compute Likelihood Ratios based con color characteristics — compute_LRs_colors

<dl>

<dt>conditioned</dt>
<dd>A dataframe with at least the columns 'hair_colour', 'skin_colour',
'eye_colour', and 'numerators'.</dd>


<dt>unconditioned</dt>
<dd>A dataframe with at least the columns 'hair_colour', 'skin_colour',
'eye_colour', and 'f_h_s_y'.</dd>

</dl>

compute_LRs_colors: Compute Likelihood Ratios based con color characteristics

Description

Usage

Value

Arguments

Examples