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statgenQTLxT  

Multi-Trait and Multi-Trial Genome Wide Association Studies
View on CRAN: Click here


Download and install statgenQTLxT package within the R console
Install from CRAN:
install.packages("statgenQTLxT")

Install from Github:
library("remotes")
install_github("cran/statgenQTLxT")

Install by package version:
library("remotes")
install_version("statgenQTLxT", "1.0.2")



Attach the package and use:
library("statgenQTLxT")
Maintained by
Bart-Jan van Rossum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-23
Latest Update: 2024-01-23
Description:
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.
How to cite:
Bart-Jan van Rossum (2023). statgenQTLxT: Multi-Trait and Multi-Trial Genome Wide Association Studies. R package version 1.0.2, https://cran.r-project.org/web/packages/statgenQTLxT. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2023-02-23 10:40), 1.0.1 (2023-04-04 10:00)
Other packages that cited statgenQTLxT R package
View statgenQTLxT citation profile
Other R packages that statgenQTLxT depends, imports, suggests or enhances
Complete documentation for statgenQTLxT
Functions, R codes and Examples using the statgenQTLxT R package
Some associated functions: EMFA . LLQuadFormDiagCPP . covUnstr . estEffTot . estEffsCPP . exclMarkers . gDataDropsRestr . runMultiTraitGwas . statgenQTLxT-package . updateFA . updateFAHomVar . updatePrec . 
Some associated R codes: GWASHelp.R . RcppExports.R . chkFuncs.R . covUnstr.R . data.R . estEffTot.R . reexport.R . runMultiTraitGwas.R . statgenQTLxT.R . utils.R . zzz.R .  Full statgenQTLxT package functions and examples
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