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
DOI:	10.32614/CRAN.package.statgenQTLxT
Author:	Bart-Jan van Rossum [aut, cre], Willem Kruijer [aut], Fred van Eeuwijk [ctb], Martin Boer [ctb], Daniela Bustos-Korts [ctb], Emilie J 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>
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:

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