Mispitools: An R Package for Comprehensive Statistical Methods in Kinship Inference
Abstract
The search for missing persons is a complex process that involves the comparison of data from two entities: unidentified persons (UP), who may be alive or deceased, and missing persons (MP), whose whereabouts are unknown. Although existing tools support DNA-based kinship analyses for the search, they typically do not integrate or statistically evaluate diverse lines of evidence collected throughout the investigative process. Examples of alternative lines of evidence are pigmentation traits, biological sex, and age, among others. The package Mispitools fills this gap by providing comprehensive statistical methods adapted to a holistic investigation workflow. Mispitools systematically assesses the data from each investigative stage, computing the statistical weight of various types of evidence through a likelihood ratio (LR) approach. It also provides models for combining obtained LRs. Furthermore, Mispitools offers customized visualizations and a user-friendly interface, broadening its applicability among forensic practitioners and genealogical researchers.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 7
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Using all available evidence to solve kinship cases
Thore Egeland, Franco Leonel Marsico·bioRxiv·May 3, 2025
- Likelihood Ratios for physical traits in forensicinvestigations
Franco Leonel Marsico, Thore Egeland·bioRxiv·May 25, 2024
- Likelihood ratio estimation of partial Y-STR profile matches using discrete Laplace models and marginalisation
Tóra Oluffa Stenberg Olsen, Poul Svante Eriksen, … Mikkel Meyer Andersen·Forensic Science International GeneticsPeer-reviewed·Dec 16, 2025
- KinLinks: Software Toolkit for Kinship Analysis and Pedigree Generation from HTS Datasets
Anna Shcherbina, Darrell O. Ricke, … Edward Wack·bioRxiv·Apr 6, 2016
- Use of the Elston-Stewart algorithm for the efficient calculation of exact pedigree-based Y-STR match probabilities
Janne Berger, Michael Krawczak, … Iris Schulz·bioRxiv·Aug 19, 2026
- A joint framework for studying population structure using principal component analysis and F-statistics
Divyaratan Popli, Benjamin Marco Peter·bioRxiv·Sep 25, 2024