BREADR: Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data

The goal of the package is to provide an easy-to-use method for estimating degrees of relatedness (up to the second degree) for extreme low-coverage data. The package also allows users to quantify and visualise the level of confidence in the estimated degrees of relatedness. A paper describing the method is available at Rohrlach, A. B. et al (2023) <>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: data.table, dplyr, forcats, ggplot2, ggpubr, grDevices, magrittr, matrixStats, purrr, readr, stringr, tibble
Suggests: spelling, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-04-12
DOI: 10.32614/CRAN.package.BREADR
Author: Jono Tuke ORCID iD [aut, cre], Adam B. Rohrlach ORCID iD [aut], Wolfgang Haak ORCID iD [aut], Divyaratan Popli ORCID iD [aut]
Maintainer: Jono Tuke <simon.tuke at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: BREADR results


Reference manual: BREADR.pdf


Package source: BREADR_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BREADR_1.0.1.tgz, r-oldrel (arm64): BREADR_1.0.1.tgz, r-release (x86_64): BREADR_1.0.1.tgz, r-oldrel (x86_64): BREADR_1.0.1.tgz
Old sources: BREADR archive


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