CDmax score

Largest, over the target rows, of the coefficient of determination of the ridge model on the columns of X (the per-individual value averaged by cd_score; default \(\lambda = 1\)). It protects the best-determined individual, as the CDMAX of STPGA does. Larger is better.

Usage

cdmax_score(X, X0, lambda = NULL)

Arguments

X

A numeric matrix of the training set (row: individual; column: marker or PC).

X0

A numeric matrix of the target rows (the test set), with the same columns as X.

lambda

A positive number, the ridge penalty, or NULL (default) for the default of the criterion.

Value

A number.

Details

See criteria for the list of criteria and the package website for one page per criterion.

References

Akdemir, D., Sanchez, J. I., & Jannink, J.-L. (2015). Optimization of genomic selection training populations with a genetic algorithm. Genetics Selection Evolution, 47, 38. <doi:10.1186/s12711-015-0116-6>

Author

Jen-Hsiang Ou

Examples

data(geno)
cdmax_score(geno[1:50, ], geno[51:100, ])
#> [1] 4.920842e-05