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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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lpSolve, utils, stats |
| Suggests: | knitr, rmarkdown, roxygen2, devtools, usethis |
| Published: | 2025-08-18 |
| DOI: | 10.32614/CRAN.package.maxRgain |
| Author: | Sónia Surgy [aut, cre], Elsa Gonçalves [aut], Jorge Cadima [aut] |
| Maintainer: | Sónia Surgy <soniasurgy at isa.ulisboa.pt> |
| BugReports: | https://github.com/soniasurgy/maxRgain/issues |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | maxRgain citation info |
| Materials: | README |
| CRAN checks: | maxRgain results |
| Reference manual: | maxRgain.html , maxRgain.pdf |
| Vignettes: |
Introduction to maxRgain (source, R code) |
| Package source: | maxRgain_1.0.2.tar.gz |
| Windows binaries: | r-devel: maxRgain_1.0.2.zip, r-release: maxRgain_1.0.2.zip, r-oldrel: maxRgain_1.0.2.zip |
| macOS binaries: | r-release (arm64): maxRgain_1.0.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): maxRgain_1.0.2.tgz, r-oldrel (x86_64): maxRgain_1.0.2.tgz |
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These binaries (installable software) and packages are in development.
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