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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: | 2.0-6 |
Depends: | R (≥ 3.5.0), qtl |
Imports: | ggplot2 |
Suggests: | knitr, rmarkdown, prettydoc |
Published: | 2024-08-27 |
DOI: | 10.32614/CRAN.package.wgaim |
Author: | Julian Taylor [aut, cre], Ari Verbyla [aut] |
Maintainer: | Julian Taylor <julian.taylor at adelaide.edu.au> |
BugReports: | https://github.com/DrJ001/wgaim/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/DrJ001/wgaim |
NeedsCompilation: | no |
SystemRequirements: | asreml-R 4.x |
Citation: | wgaim citation info |
Materials: | README NEWS |
CRAN checks: | wgaim results |
Reference manual: | wgaim.pdf |
Vignettes: |
A Quick Introduction to wgaim QTL Analysis (source) |
Package source: | wgaim_2.0-6.tar.gz |
Windows binaries: | r-devel: wgaim_2.0-6.zip, r-release: wgaim_2.0-6.zip, r-oldrel: wgaim_2.0-6.zip |
macOS binaries: | r-release (arm64): wgaim_2.0-6.tgz, r-oldrel (arm64): wgaim_2.0-6.tgz, r-release (x86_64): wgaim_2.0-6.tgz, r-oldrel (x86_64): wgaim_2.0-6.tgz |
Old sources: | wgaim archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.