D-optimality score

\(\log\det(X'X + \lambda I)\) of the training set. Larger is better (a larger determinant of the information matrix). It uses the training set only.

Usage

dopt_score(X, lambda = NULL)

Arguments

X

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

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., & Isidro-Sanchez, J. (2019). Design of training populations for selective phenotyping in genomic prediction. Scientific Reports, 9, 1446. <doi:10.1038/s41598-018-38081-6>

Author

Jen-Hsiang Ou

Examples

data(geno)
dopt_score(geno[1:50, ])
#> [1] -1654.586