Package: maxRgain 1.1.0
maxRgain: Maximizing Polyclonal Selection Gains Using Integer Programming
Implements an Integer Programming-based method for optimising genetic gain in polyclonal selection, where the goal is to select a group of genotypes that jointly meet multi-trait selection criteria. The method uses predictors of genotypic effects obtained from the fitting of mixed models. Its application is demonstrated with grapevine data, but is applicable to other species and breeding contexts. For more details see Surgy et al. (2025) <doi:10.1007/s00122-025-04885-0>.
Authors:
maxRgain_1.1.0.tar.gz
maxRgain_1.1.0.zip(r-4.7)maxRgain_1.1.0.zip(r-4.6)maxRgain_1.1.0.zip(r-4.5)
maxRgain_1.1.0.tgz(r-4.6-any)maxRgain_1.1.0.tgz(r-4.5-any)
maxRgain_1.1.0.tar.gz(r-4.7-any)maxRgain_1.1.0.tar.gz(r-4.6-any)
maxRgain_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
maxRgain/json (API)
| # Install 'maxRgain' in R: |
| install.packages('maxRgain', repos = c('https://soniasurgy.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/soniasurgy/maxrgain/issues
- Gouveio - Gouveio variety dataset
Last updated from:3fbb5eb037. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 254 | ||
| linux-release-x86_64 | OK | 167 | ||
| macos-release-arm64 | OK | 172 | ||
| macos-oldrel-arm64 | OK | 194 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 99 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 126 |
Exports:polyclonalrmaxarmaxp
Dependencies:lpSolve
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gouveio variety dataset | Gouveio |
| Integer programming calculations | polyclonal |
| Maximum admissible gain | rmaxa |
| Maximum possible gain | rmaxp |
| Update method for polyclonal results | update.polyresult |
