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A computationally efficient whole genome approach to detecting and estimating significant QTL in linkage maps using the flexible linear mixed modelling functionality of ASReml-R.
| Version: | 2.0-1 |
| Depends: | R (≥ 3.5.0), qtl |
| Imports: | ggplot2 |
| Suggests: | knitr, rmarkdown, prettydoc |
| Published: | 2019-10-03 |
| Author: | Julian Taylor and Ari Verbyla |
| Maintainer: | Julian Taylor <julian.taylor at adelaide.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| SystemRequirements: | asreml-R 4.x |
| Citation: | wgaim citation info |
| Materials: | NEWS |
| CRAN checks: | wgaim results |
| Reference manual: | wgaim.pdf |
| Vignettes: |
"A Quick Introduction to wgaim QTL Analysis" |
| Package source: | wgaim_2.0-1.tar.gz |
| Windows binaries: | r-devel: wgaim_2.0-1.zip, r-release: wgaim_2.0-1.zip, r-oldrel: wgaim_2.0-1.zip |
| macOS binaries: | r-release (arm64): wgaim_2.0-1.tgz, r-oldrel (arm64): wgaim_2.0-1.tgz, r-release (x86_64): wgaim_2.0-1.tgz, r-oldrel (x86_64): wgaim_2.0-1.tgz |
| Old sources: | wgaim archive |
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