# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ribd" in publications use:' type: software license: GPL-3.0-only title: 'ribd: Pedigree-based Relatedness Coefficients' version: 1.7.1 doi: 10.1007/s00285-020-01505-x identifiers: - type: doi value: 10.32614/CRAN.package.ribd abstract: Recursive algorithms for computing various relatedness coefficients, including pairwise kinship, kappa and identity coefficients. Both autosomal and X-linked coefficients are computed. Founders are allowed to be inbred, which enables construction of any given kappa coefficients, as described in Vigeland (2020) . In addition to the standard coefficients, 'ribd' also computes a range of lesser-known coefficients, including generalised kinship coefficients, multi-person coefficients and two-locus coefficients (Vigeland, 2023, ). Many features of 'ribd' are available through the online app 'QuickPed' at ; see Vigeland (2022) . authors: - family-names: Vigeland given-names: Magnus Dehli email: m.d.vigeland@medisin.uio.no orcid: https://orcid.org/0000-0002-9134-4962 preferred-citation: type: article title: Relatedness coefficients in pedigrees with inbred founders authors: - family-names: Vigeland given-names: Magnus Dehli email: m.d.vigeland@medisin.uio.no orcid: https://orcid.org/0000-0002-9134-4962 journal: Journal of Mathematical Biology year: '2020' volume: '81' doi: 10.1007/s00285-020-01505-x start: '185' end: '207' repository: https://CRAN.R-project.org/package=ribd repository-code: https://github.com/magnusdv/ribd url: https://magnusdv.github.io/pedsuite/ date-released: '2025-02-08' contact: - family-names: Vigeland given-names: Magnus Dehli email: m.d.vigeland@medisin.uio.no orcid: https://orcid.org/0000-0002-9134-4962 references: - type: book title: Pedigree Analysis in R authors: - family-names: Vigeland given-names: Magnus Dehli year: '2021' publisher: name: Academic Press isbn: 978-0128244302