Genome Wide Association Studies R package statgenGWAS version 1.0.13 CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture) 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. Software Depends: R (>= 3.6) Imports: data.table, ggplot2 (>= 3.0.0), LMMsolver, methods, rlang, Rcpp, sommer (>= 4.4.1) LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, officer, tinytest, snpStats, vcfR Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl> Comprehensive R Archive Network (CRAN) Bart-Jan van Rossum [aut, cre] (ORCID: <https://orcid.org/0000-0002-8673-2514>), Willem Kruijer [aut] (ORCID: <https://orcid.org/0000-0001-7179-1733>), Fred van Eeuwijk [ctb] (ORCID: <https://orcid.org/0000-0003-3672-2921>), Martin Boer [ctb] (ORCID: <https://orcid.org/0000-0002-1879-4588>), Marcos Malosetti [ctb] (ORCID: <https://orcid.org/0000-0002-8150-1397>), Daniela Bustos-Korts [ctb] (ORCID: <https://orcid.org/0000-0003-3827-6726>), Emilie Millet [ctb] (ORCID: <https://orcid.org/0000-0002-2913-4892>), Joao Paulo [ctb] (ORCID: <https://orcid.org/0000-0002-4180-0763>), Maikel Verouden [ctb] (ORCID: <https://orcid.org/0000-0002-4893-3323>), Ron Wehrens [ctb] (ORCID: <https://orcid.org/0000-0002-8798-5599>), Choazhi Zheng [ctb] (ORCID: <https://orcid.org/0000-0001-6030-3933>) GPL-3 2026-02-19 application/tgz https://CRAN.R-project.org/package=statgenGWAS doi:10.32614/CRAN.package.statgenGWAS