Economic selection index over EBVs — selection

I = sum_t w_t ebv_t, optionally with each trait standardized to unit EBV standard deviation first (then the weights read as "relative emphasis in genetic standard deviations", the scale-free form). Animals are matched BY NAME across traits, and an animal missing in any trait is dropped with a count, silently keeping it at zero would reward incomplete evaluation.

Usage

selection_index(ebvs, weights, standardize = TRUE)

Arguments

ebvs: a named list of named vectors (one per trait, as ebv() returns), or a matrix with animals in rows and traits in columns
weights: named vector of economic weights, names matching the traits
standardize: divide each trait's EBVs by their standard deviation first (TRUE by default)

Value

named vector of index values, sorted best first, with the number of dropped animals as attribute n_dropped