forrel: Forensic Pedigree Analysis and Relatedness Inference

Forensic applications of pedigree analysis, including likelihood ratios for relationship testing, general relatedness inference, marker simulation, and power analysis. General computation of exclusion powers is based on Egeland et al. (2014) <doi:10.1016/j.fsigen.2013.05.001>. Several functions deal specifically with family reunion cases, implementing and developing ideas from Kling et al. (2017) <doi:10.1016/j.fsigen.2017.08.006>. A novelty of 'forrel' is the ability to model background inbreeding in forensic pedigree computations. This can have significant impact in applications, as exemplified in Vigeland and Egeland (2019) <doi:10.1016/j.fsigss.2019.10.175>. 'forrel' is part of the ped suite, a collection of packages for pedigree analysis. In particular, 'forrel' imports 'pedtools' for creating and manipulating pedigrees and markers, 'pedprobr' for likelihood computations, and 'pedmut' for mutation modelling. Pedigree data may be created from scratch, or loaded from text files. Data import from the 'Familias' software (Egeland et al. (2000) <doi:10.1016/S0379-0738(00)00147-X>) is supported.

Version: 1.6.0
Depends: pedtools (≥ 2.2.0), R (≥ 4.1.0)
Imports: glue, pedmut (≥ 0.6), pedprobr (≥ 0.8), ribd (≥ 1.5.0)
Suggests: ggplot2, poibin, scales, testthat, ibdsim2
Published: 2023-07-20
Author: Magnus Dehli Vigeland ORCID iD [aut, cre], Thore Egeland [ctb]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: forrel results


Reference manual: forrel.pdf


Package source: forrel_1.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): forrel_1.6.0.tgz, r-oldrel (arm64): forrel_1.6.0.tgz, r-release (x86_64): forrel_1.6.0.tgz, r-oldrel (x86_64): forrel_1.6.0.tgz
Old sources: forrel archive

Reverse dependencies:

Reverse depends: pedsuite
Reverse imports: dvir, forensIT, KLINK, mispitools, pedbuildr


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