ibdfindr: HMM Toolkit for Inferring IBD Segments from SNP Genotypes
Implements continuous-time hidden Markov models (HMMs) to
infer identity-by-descent (IBD) segments shared by two individuals
from their single-nucleotide polymorphism (SNP) genotypes. Provides
posterior probabilities at each marker (forward-backward algorithm),
prediction of IBD segments (Viterbi algorithm), and functions for
visualising results. Supports both autosomal data and X-chromosomal
data. The current model has two states, non-IBD and IBD1, and is
intended for unilineal relationships. The methodology and package are
described in Vigeland et al. (2026)
<doi:10.1016/j.fsigen.2025.103409>.
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