Package: statgenQTLxT 1.0.2

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
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statgenQTLxT.pdf |statgenQTLxT.html✨
statgenQTLxT/json (API)
NEWS

# Install 'statgenQTLxT' in R:

install.packages('statgenQTLxT', repos = c('https://bartjanvanrossum.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

gDataDropsRestr - Subset of DROPS data for use in examples

On CRAN:

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 255 downloads 1 exports 38 dependencies

Last updated 10 months agofrom:36bf20dfc7. Checks:OK: 7 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 20 2024
R-4.5-win-x86_64	NOTE	Nov 20 2024
R-4.5-linux-x86_64	NOTE	Nov 20 2024
R-4.4-win-x86_64	OK	Nov 20 2024
R-4.4-mac-x86_64	OK	Nov 20 2024
R-4.4-mac-aarch64	OK	Nov 20 2024
R-4.3-win-x86_64	OK	Nov 20 2024
R-4.3-mac-x86_64	OK	Nov 20 2024
R-4.3-mac-aarch64	OK	Nov 20 2024