A comprehensive toolkit for missing person identification combining genetic and non-genetic evidence within a Bayesian framework. Computes likelihood ratios (LRs) for DNA profiles, biological sex, age, hair color, and birthdate evidence. Provides decision analysis tools including optimal LR thresholds, error rate calculations, and ROC curve visualization. Includes interactive Shiny applications for exploring evidence combinations. For methodological details see Marsico et al. (2023) <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. (2021) <doi:10.1016/j.fsigen.2021.102519>.
Package details |
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| Author | Franco Marsico [aut, cre] (ORCID: <https://orcid.org/0000-0002-0740-5516>), Suisei Nakagawa [aut] |
| Maintainer | Franco Marsico <franco.lmarsico@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.0.0 |
| URL | https://github.com/MarsicoFL/mispitools |
| Package repository | View on CRAN |
| Installation |
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