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  "Description": "A unified interface to fit, cross-validate and benchmark\ngenomic prediction models from SNP marker data. It implements\ngenomic best linear unbiased prediction (GBLUP) and\nridge-regression BLUP in base R, and offers a common interface\nto machine-learning predictors (elastic net, random forest and\ngradient boosting) through optional packages, together with a\nstacked ensemble. Cross-validation uses breeding-relevant\nschemes and reports prediction accuracy honestly, so models can\nbe compared fairly. The genomic relationship matrix follows\nVanRaden (2008) <doi:10.3168/jds.2007-0980>; the mixed-model\nsolver follows Endelman (2011)\n<doi:10.3835/plantgenome2011.08.0024>; the genomic-selection\nframework follows Meuwissen, Hayes and Goddard (2001)\n<doi:10.1093/genetics/157.4.1819>.",
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