BREADR: Estimates Degrees of Relatedness (Up to the Second Degree) for Extreme Low-Coverage Data (original) (raw)
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.
| Version: | 1.0.3 |
|---|---|
| Depends: | R (≥ 4.4) |
| Imports: | data.table, dplyr, forcats, ggplot2, ggpubr, grDevices, magrittr, MASS, matrixStats, purrr, readr, stringr, tibble |
| Suggests: | spelling, knitr, rmarkdown, testthat (≥ 3.0.0), Matrix |
| Published: | 2025-04-14 |
| DOI: | 10.32614/CRAN.package.BREADR |
| Author: | Jono Tuke  [aut, cre], Adam B. Rohrlach [aut], Wolfgang Haak [aut], Divyaratan Popli [aut] |
| Maintainer: | Jono Tuke <simon.tuke at adelaide.edu.au> |
| BugReports: | https://github.com/jonotuke/BREADR/issues |
| License: | MIT + file |
| URL: | https://github.com/jonotuke/BREADR,https://jonotuke.github.io/BREADR/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | BREADR citation info |
| Materials: | README, NEWS |
| CRAN checks: | BREADR results |
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