\(\log\det K_T\) with \(K_T = XX'/p\), the relationship matrix of the training set (overall genomic variation). Larger is better. It needs at least as many columns as rows, otherwise \(K_T\) is singular and the score is minus infinity.
Details
See criteria for the list of criteria and the package website for one page per criterion.
References
Chen, S.-P., Sung, W.-H., & Liao, C.-T. (2024). Constructing training sets for genomic selection to identify superior genotypes in candidate populations. Theoretical and Applied Genetics, 137, 270. <doi:10.1007/s00122-024-04766-y>
Examples
data(geno)
gv_overall_score(geno[1:50, ])
#> [1] 169.8436