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:
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')) |
- gDataDropsRestr - Subset of DROPS data for use in examples
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:36bf20dfc7. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 26 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 26 2024 |
Exports:runMultiTraitGwas
Dependencies:clicodetoolscolorspacecrayondata.tablefansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppProgressrlangscalessommerstatgenGWAStibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Subset of DROPS data for use in examples | gDataDropsRestr |
Perform multi-trait GWAS | runMultiTraitGwas |