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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 [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] |
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 |
Reference manual: | statgenGWAS.pdf |
Vignettes: |
Introduction to the statgenGWAS package (source, R code) |
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 depends: | statgenMPP |
Reverse imports: | statgenIBD, statgenQTLxT |
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.
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