Missing Person Identification Tools
Likelihood ratio for color variable
Simulate LR values considering H1 and H2
Likelihood ratio for age variable
Kullback-Leibler Divergence Calculation for Genetic Markers
Epsilon hair color matrix
Combine LRs: a function for combining LRs obtained from simulations.
Compute Likelihood Ratios based con color characteristics
Compute Conditioned Proportions for UPs
General plot for condiionted probabilities and LR combining variables
Missing person based conditioned probability
Population based conditioned probability
Decision making plot: a function for plotting false positive and false...
Decision Threshold: a function for computing likelihood ratio decision...
Function for getting STR allele frequencies from different world popul...
Calculate Kullback-Leibler Divergence with Base 10 Logarithm
Likelihood ratio for birth date in missing person searches
Likelihood ratio distribution: a function for plotting expected log10(...
Likelihood ratio for sex variable
Make preliminary investigation MP data simulations: a function for obt...
Make POIs gen: a function for obtaining a database with genetic inform...
Make preliminary investigation POI/UHR data simulations: a function fo...
Missing person shiny app
mispitools: Missing Person Identification Tools
Multi-dataset Kullback-Leibler Divergence Calculation
postSim: A function for simulating posterior odds
Generate a dataframe with hair colour, skin colour, eye colour and the...
simLR2dataframe: A function for extracting LR distributions in a dataf...
Simulate likelihoods ratio (LRs) based on genetic data: a function for...
Simulate likelihoods ratio (LRs) based on preliminary investigation da...
Generate Reference Properties for a Hypothetical Population
Threshold rates: a function for computing error rates and Matthews cor...
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>.