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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.
| Version: |
1.0.2 |
| Depends: |
R (≥ 2.10) |
| Imports: |
data.table, dplyr, forcats, ggplot2, ggpubr, grDevices, magrittr, MASS, matrixStats, purrr, readr, stringr, tibble |
| Suggests: |
spelling, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-09-09 |
| 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 LICENSE |
| 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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=BREADR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.