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
Old sources: statgenQTLxT archive

Linking:

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