statgenGWAS: Genome Wide Association Studies

Fast single trait Genome Wide Association Studies (GWAS). 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, ggplot2 (≥ 3.0.0), sommer (≥ 3.7.3), Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, officer, rvg, tinytest
Published: 2020-01-20
Author: Bart-Jan van Rossum [aut, cre], Willem Kruijer ORCID iD [aut], Fred van Eeuwijk ORCID iD [ctb], Martin Boer [ctb], Marcos Malosetti ORCID iD [ctb], Daniela Bustos-Korts ORCID iD [ctb], Emilie 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: statgenGWAS results

Downloads:

Reference manual: statgenGWAS.pdf
Vignettes: Introduction to the statgenGWAS package
Package source: statgenGWAS_1.0.2.tar.gz
Windows binaries: r-devel: statgenGWAS_1.0.2.zip, r-devel-gcc8: statgenGWAS_1.0.1.zip, r-release: statgenGWAS_1.0.2.zip, r-oldrel: not available
OS X binaries: r-release: statgenGWAS_1.0.2.tgz, r-oldrel: not available
Old sources: statgenGWAS archive

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