Multi-Trait and Multi-Trial Genome Wide Association Studies
Overview
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.
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From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
Show 5 earlier changesHide 5 earlier changes
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-04-10
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-09
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 12 (10 internal)includes a package overview page
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 42%
Downloads
Dependencies
Installing statgenQTLxT adds 31 packages (16 with compiled code, 40 MB of source tarballs). Heaviest: LMMsolver 7.1 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-02-23
- Total releases
- 4 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 257 KB / 1 file
- Download size
- 582 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("statgenQTLxT")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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