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statgenQTLxT: Multi-Trait and Multi-Trial Genome Wide Association Studies

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
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], Daniela Bustos-Korts ORCID iD [ctb], Emilie J 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>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: statgenQTLxT results

Documentation:

Reference manual: statgenQTLxT.pdf
Vignettes: Multi-trait GWAS with the statgenQTLxT package

Downloads:

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

Linking:

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.
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