Disaster Victim Identification
AM driven DVI
Posterior pairing probabilities
Direct match LR
Compare DVI approaches
DVI data
Finds Generalised Likelihood Ratios (GLRs)
Joint DVI search
dvir: Disaster Victim Identification
Simulate genotypes in a DVI dataset
A complete pipeline for solving a DVI case
Exclude pairings
Combinations without duplications
Convert a Familias file to DVI data
Excluded individuals and pairings in a DVI dataset
Nonidentifiable missing persons
Undisputed identifications in a DVI problem
Format final summary table
Sex-consistent pairings
Get AM component of selected individuals
Find the simple families of a DVI dataset
Joint DVI search
Identity and merge matching PM samples
The number of assignments for DVI problem
Pairwise LR matrix
Plot a DVI problem
Plot DVI solution
Plot undisputed identifications
Automatic labelling of a DVI dataset
Sequential DVI search
Set identifications manually
Extract a subset of a DVI dataset
Swap orientation of an assignment table
Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.