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Fast multi-trait and multi-trail Genome Wide Association Studies (GWAS) following the method described in Zhou and Stephens. (2014), <doi:10.1038/nmeth.2848>. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris.
Version: | 1.0.2 |
Depends: | R (≥ 3.5) |
Imports: | data.table, foreach, Rcpp, sommer (≥ 4.2.0), statgenGWAS (≥ 1.0.9) |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | covr, knitr, rmarkdown, tinytest |
Published: | 2024-01-23 |
DOI: | 10.32614/CRAN.package.statgenQTLxT |
Author: | Bart-Jan van Rossum
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Maintainer: | Bart-Jan van Rossum <bart-jan.vanrossum at wur.nl> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | statgenQTLxT results |
Reference manual: | statgenQTLxT.pdf |
Vignettes: |
Multi-trait GWAS with the statgenQTLxT package |
Package source: | statgenQTLxT_1.0.2.tar.gz |
Windows binaries: | r-devel: statgenQTLxT_1.0.2.zip, r-release: statgenQTLxT_1.0.2.zip, r-oldrel: statgenQTLxT_1.0.2.zip |
macOS binaries: | r-release (arm64): statgenQTLxT_1.0.2.tgz, r-oldrel (arm64): statgenQTLxT_1.0.2.tgz, r-release (x86_64): statgenQTLxT_1.0.2.tgz, r-oldrel (x86_64): statgenQTLxT_1.0.2.tgz |
Old sources: | statgenQTLxT archive |
Please use the canonical form https://CRAN.R-project.org/package=statgenQTLxT 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.