Package: wgaim 2.0-6
wgaim: Whole Genome Average Interval Mapping for QTL Detection and Estimation using ASReml-R
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.
Authors:
wgaim_2.0-6.tar.gz
wgaim_2.0-6.zip(r-4.5)wgaim_2.0-6.zip(r-4.4)wgaim_2.0-6.zip(r-4.3)
wgaim_2.0-6.tgz(r-4.4-any)wgaim_2.0-6.tgz(r-4.3-any)
wgaim_2.0-6.tar.gz(r-4.5-noble)wgaim_2.0-6.tar.gz(r-4.4-noble)
wgaim_2.0-6.tgz(r-4.4-emscripten)wgaim_2.0-6.tgz(r-4.3-emscripten)
wgaim.pdf |wgaim.html✨
wgaim/json (API)
NEWS
| # Install 'wgaim' in R: |
| install.packages('wgaim', repos = c('https://drj001.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drj001/wgaim/issues
- genoCxR - Genotypic marker data for Cascades x RAC875-2 doubled haploid population in R/qtl format
- genoRxK - Genotypic marker data for RAC875 x Kukri doubled haploid population in R/qtl format
- genoSxT - Genotypic marker data for Sunco x Tasman doubled haploid population in R/qtl format
- phenoCxR - Phenotypic Cascades x RAC875-2 zinc experiment data frame
- phenoRxK - Phenotypic RAC875 x Kukri trial data frame
- phenoSxT - Phenotypic Sunco x Tasman trial data frame
Last updated 3 months agofrom:02be2de965. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Exports:cross2intfixMapgetQTLlinkMaplinkMap.crosslinkMap.defaultlinkMap.wgaimoutStatprint.wgaimqtlSelectqtlTablesummary.wgaimtr.wgaimwgaimwgaim.asremlwgaim.default
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigqtlR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
