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: | 1.0.4 |
| Depends: | R (≥ 3.5) |
| Imports: | data.table, ggplot2 (≥ 3.0.0), sommer (≥ 3.7.3), Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown, officer, tinytest |
| Published: | 2020-03-02 |
| 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://github.com/Biometris/statgenGWAS/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | statgenGWAS results |
| Reference manual: | statgenGWAS.pdf |
| Vignettes: |
Introduction to the statgenGWAS package |
| Package source: | statgenGWAS_1.0.4.tar.gz |
| Windows binaries: | r-devel: statgenGWAS_1.0.4.zip, r-release: statgenGWAS_1.0.4.zip, r-oldrel: statgenGWAS_1.0.4.zip |
| macOS binaries: | r-release: statgenGWAS_1.0.4.tgz, r-oldrel: statgenGWAS_1.0.4.tgz |
| Old sources: | statgenGWAS archive |
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