Package: statgenQTLxT 1.0.2

Bart-Jan van Rossum

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.

Authors: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]

statgenQTLxT_1.0.2.tar.gz
statgenQTLxT_1.0.2.tar.gz(r-4.5-noble)statgenQTLxT_1.0.2.tar.gz(r-4.4-noble)
statgenQTLxT_1.0.2.tgz(r-4.4-emscripten)statgenQTLxT_1.0.2.tgz(r-4.3-emscripten)
statgenQTLxT.pdf |statgenQTLxT.html✨
statgenQTLxT/json (API)
NEWS

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 2 scripts 263 downloads 1 exports 38 dependencies

Last updated 9 months agofrom:36bf20dfc7. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 27 2024
R-4.5-linux-x86_64NOTESep 27 2024

Exports:runMultiTraitGwas

Dependencies:clicodetoolscolorspacecrayondata.tablefansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalessommerstatgenGWAStibbleutf8vctrsviridisLitewithr

Multi-trait GWAS with the statgenQTLxT package

Bart-Jan van Rossum

Rendered fromstatgenQTLxT.Rmdusingknitr::rmarkdownon Sep 27 2024.

Last update: 2023-02-23
Started: 2023-02-23