CRAN/E | statgenGWAS

statgenGWAS

Genome Wide Association Studies

Installation

About

Fast single trait Genome Wide Association Studies (GWAS) following the method described in Kang et al. (2010), doi:10.1038/ng.548. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.

biometris.github.io/statgenGWAS/index.html
github.com/Biometris/statgenGWAS/
Bug report File report

Key Metrics

Version 1.0.9
R ≥ 3.6
Published 2022-10-13 567 days ago
Needs compilation? yes
License GPL-3
CRAN checks statgenGWAS results

Downloads

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Last 7 days 166 +9%
Last 30 days 593 -14%
Last 90 days 1.945 +1%
Last 365 days 7.389 +12%

Maintainer

Maintainer

Bart-Jan van Rossum

bart-jan.vanrossum@wur.nl

Authors

Bart-Jan van Rossum

aut / cre

Willem Kruijer

aut

Fred van Eeuwijk

ctb

Martin Boer

ctb

Marcos Malosetti

ctb

Daniela Bustos-Korts

ctb

Emilie Millet

ctb

Joao Paulo

ctb

Maikel Verouden

ctb

Ron Wehrens

ctb

Choazhi Zheng

ctb

Material

README
NEWS
Reference manual
Package source

In Views

Agriculture

Vignettes

Introduction to the statgenGWAS package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

statgenGWAS archive

Depends

R ≥ 3.6

Imports

data.table
ggplot2 ≥ 3.0.0
methods
sommer ≥ 3.7.3
Rcpp

Suggests

knitr
rmarkdown
officer
tinytest
snpStats

LinkingTo

Rcpp
RcppArmadillo

Reverse Depends

statgenMPP