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Functions are provided for quantifying evolution and selection on complex traits. The package implements effective handling and analysis algorithms scaled for genome-wide data and calculates a composite statistic, denoted Ghat, which is used to test for selection on a trait. The package provides a number of simple examples for handling and analysing the genome data and visualising the output and results. Beissinger et al., (2018) <doi:10.1534/genetics.118.300857>.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | rrBLUP |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-12-14 |
| Author: | Medhat Mahmoud [aut], Ngoc-Thuy Ha [aut], Tim Beissinger [aut, cre] |
| Maintainer: | Tim Beissinger <timbeissinger at gmail.com> |
| BugReports: | https://github.com/Medhat86/Ghat/issues |
| License: | MIT + file LICENSE |
| URL: | https://academic.oup.com/genetics/article/209/1/321/5931021 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | Ghat results |
| Reference manual: | Ghat.pdf |
| Package source: | Ghat_0.2.0.tar.gz |
| Windows binaries: | r-devel: Ghat_0.2.0.zip, r-release: Ghat_0.2.0.zip, r-oldrel: Ghat_0.2.0.zip |
| macOS binaries: | r-release (arm64): Ghat_0.2.0.tgz, r-oldrel (arm64): Ghat_0.2.0.tgz, r-release (x86_64): Ghat_0.2.0.tgz, r-oldrel (x86_64): Ghat_0.2.0.tgz |
| Old sources: | Ghat archive |
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