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CRAN: Package maxRgain

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>.

Version: 1.1.0
Depends: R (≥ 3.5.0)
Imports: lpSolve, utils, stats
Suggests: knitr, rmarkdown, roxygen2, devtools, usethis
Published: 2026-03-03
DOI: 10.32614/CRAN.package.maxRgain
Author: Sónia Surgy [aut, cre], Jorge Cadima [aut], Elsa Gonçalves [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, NEWS
CRAN checks: maxRgain results

Documentation:

Reference manual: maxRgain.html , maxRgain.pdf
Vignettes: Introduction to maxRgain (source, R code)

Downloads:

Package source: maxRgain_1.1.0.tar.gz
Windows binaries: r-devel: maxRgain_1.1.0.zip, r-release: maxRgain_1.1.0.zip, r-oldrel: maxRgain_1.1.0.zip
macOS binaries: r-release (arm64): maxRgain_1.1.0.tgz, r-oldrel (arm64): maxRgain_1.1.0.tgz, r-release (x86_64): maxRgain_1.1.0.tgz, r-oldrel (x86_64): maxRgain_1.1.0.tgz
Old sources: maxRgain archive

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