The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

statgenGWAS: Genome Wide Association Studies

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.

Version: 1.0.10
Depends: R (≥ 3.6)
Imports: data.table, ggplot2 (≥ 3.0.0), methods, rlang, Rcpp, sommer (≥ 3.7.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, officer, tinytest, snpStats
Published: 2024-11-15
DOI: 10.32614/CRAN.package.statgenGWAS
Author: Bart-Jan van Rossum ORCID iD [aut, cre], Willem Kruijer ORCID iD [aut], Fred van Eeuwijk ORCID iD [ctb], Martin Boer ORCID iD [ctb], Marcos Malosetti ORCID iD [ctb], Daniela Bustos-Korts ORCID iD [ctb], Emilie Millet ORCID iD [ctb], Joao Paulo ORCID iD [ctb], Maikel Verouden ORCID iD [ctb], Ron Wehrens ORCID iD [ctb], Choazhi Zheng ORCID iD [ctb]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum at wur.nl>
BugReports: https://github.com/Biometris/statgenGWAS/issues
License: GPL-3
URL: https://biometris.github.io/statgenGWAS/index.html, https://github.com/Biometris/statgenGWAS/
NeedsCompilation: yes
Materials: README NEWS
In views: Agriculture
CRAN checks: statgenGWAS results

Documentation:

Reference manual: statgenGWAS.pdf
Vignettes: Introduction to the statgenGWAS package (source, R code)

Downloads:

Package source: statgenGWAS_1.0.10.tar.gz
Windows binaries: r-devel: statgenGWAS_1.0.10.zip, r-release: statgenGWAS_1.0.10.zip, r-oldrel: statgenGWAS_1.0.10.zip
macOS binaries: r-release (arm64): statgenGWAS_1.0.10.tgz, r-oldrel (arm64): statgenGWAS_1.0.10.tgz, r-release (x86_64): statgenGWAS_1.0.10.tgz, r-oldrel (x86_64): statgenGWAS_1.0.10.tgz
Old sources: statgenGWAS archive

Reverse dependencies:

Reverse depends: statgenMPP
Reverse imports: statgenIBD, statgenQTLxT

Linking:

Please use the canonical form https://CRAN.R-project.org/package=statgenGWAS 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.
Health stats visible at Monitor.