Package: statgenGWAS 1.0.13

Bart-Jan van Rossum

statgenGWAS: Genome Wide Association Studies

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.

Authors:Bart-Jan van Rossum [aut, cre], Willem Kruijer [aut], Fred van Eeuwijk [ctb], Martin Boer [ctb], Marcos Malosetti [ctb], Daniela Bustos-Korts [ctb], Emilie Millet [ctb], Joao Paulo [ctb], Maikel Verouden [ctb], Ron Wehrens [ctb], Choazhi Zheng [ctb]

statgenGWAS_1.0.13.tar.gz
statgenGWAS_1.0.13.zip(r-4.7)statgenGWAS_1.0.13.zip(r-4.6)statgenGWAS_1.0.13.zip(r-4.5)
statgenGWAS_1.0.13.tgz(r-4.6-x86_64)statgenGWAS_1.0.13.tgz(r-4.6-arm64)statgenGWAS_1.0.13.tgz(r-4.5-x86_64)statgenGWAS_1.0.13.tgz(r-4.5-arm64)
statgenGWAS_1.0.13.tar.gz(r-4.7-arm64)statgenGWAS_1.0.13.tar.gz(r-4.7-x86_64)statgenGWAS_1.0.13.tar.gz(r-4.6-arm64)statgenGWAS_1.0.13.tar.gz(r-4.6-x86_64)
statgenGWAS_1.0.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
statgenGWAS/json (API)
NEWS

# Install 'statgenGWAS' in R:
install.packages('statgenGWAS', repos = c('https://biometris.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/biometris/statgengwas/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

geneticsgwasopenblascppopenmp

7.17 score 15 stars 3 packages 22 scripts 578 downloads 1 mentions 6 exports 30 dependencies

Last updated from:316cdc8d31. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK180
linux-devel-x86_64OK195
source / vignettesOK275
linux-release-arm64OK174
linux-release-x86_64OK176
macos-release-arm64OK169
macos-release-x86_64OK371
macos-oldrel-arm64OK133
macos-oldrel-x86_64OK289
windows-develOK257
windows-releaseOK199
windows-oldrelOK180
wasm-releaseOK142

Exports:codeMarkerscreateGDatakinshipreadPLINKreadVcfrunSingleTraitGwas

Dependencies:clicpp11crayondata.tabledotCall64enhancerfarverggplot2gluegtableisobandlabelinglatticelifecycleLMMsolverMASSMatrixR6RColorBrewerRcppRcppArmadilloRcppProgressrlangS7scalessommerspamvctrsviridisLitewithr

Introduction to the statgenGWAS package

Bart-Jan van Rossum

Rendered fromGWAS.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2023-12-21
Started: 2019-02-18