Package: Ghat 0.1.0

Medhat Mahmoud

Ghat: Quantifying Evolution and Selection on Complex Traits

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>.

Authors:Medhat Mahmoud [aut, cre], Ngoc-Thuy Ha [aut], Timothy Beissinger [aut]

Ghat_0.1.0.tar.gz
Ghat_0.1.0.zip(r-4.7-any)Ghat_0.1.0.zip(r-4.6-any)Ghat_0.1.0.zip(r-4.5-any)
Ghat_0.1.0.tgz(r-4.6-any)Ghat_0.1.0.tgz(r-4.5-any)
Ghat_0.1.0.tar.gz(r-4.7-any)Ghat_0.1.0.tar.gz(r-4.6-any)
Ghat_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
Ghat/json (API)

# Install 'Ghat' in R:
install.packages('Ghat', repos = c('https://medhat86.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/medhat86/ghat/issues

Datasets:
  • Maize_wqs - The Wisconsin Quality Synthetic (WQS) maize population datasets.

On CRAN:

Conda:

2.70 score 5 scripts 260 downloads 1 mentions 2 exports 1 dependencies

Last updated from:495bf5c312. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK148
linux-release-x86_64OK124
macos-release-arm64OK199
macos-oldrel-arm64OK203
windows-develOK65
windows-releaseOK70
windows-oldrelOK72
wasm-releaseOK103

Exports:Ghatld_decay

Dependencies:rrBLUP