Mispitools:亲缘关系推断综合统计方法的 R 软件包

Franco Marsico
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引用次数: 0

摘要

搜寻失踪人员是一个复杂的过程,需要对两个实体的数据进行比较:身份不明人员(UP)和失踪人员(MP),前者可能还活着,也可能已经死亡,后者下落不明。虽然现有工具支持基于 DNA 的亲属关系分析,但它们通常无法整合或统计评估整个调查过程中收集的各种证据。其他证据包括色素特征、生物性别和年龄等。Mispitools 软件包提供了适合整体调查工作流程的综合统计方法,填补了这一空白。Mispitools 系统地评估每个调查阶段的数据,通过似然比 (LR) 方法计算各类证据的统计权重。它还提供了组合所获 LR 的模型。此外,Mispitools 还提供定制的可视化和用户友好界面,扩大了其在法医从业人员和家谱研究人员中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mispitools: An R Package for Comprehensive Statistical Methods in Kinship Inference
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.
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