inbFun: Fitness function from contribution theory using only the...

In evola: Evolutionary Algorithm

Fitness function from contribution theory using only the group relationship

Description

Simple function for fitness where we only use the group relationship.

Usage

inbFun(Y,b,Q,D,a, lambda)

Arguments

Y	A matrix of trait values. See details.
b	A vector of trait weights. See details.
Q	A QTL matrix. See details.
D	An LD matrix. See details.
a	A named list with vectors of average allelic effects per trait. See details.
lambda	A numeric value to weight the Q'DQ portion of the objective function (to be provided by the user with the lambda argument). See details.

Details

A simple apply function of a regular index weighted by a vector of relationships.

Matrix::diag(Q%*%Matrix::tcrossprod(D,Q)) of dimensions n x n

Notice that Q represents the marker of QTLs (columns) for all solutions (rows) and D the LD between QTLs. The user can modify this function as needed and provide it to the evolafit function along with other arguments.

Value

$res

a vector of values

References

Giovanny Covarrubias-Pazaran (2024). evola: a simple evolutionary algorithm for complex problems. To be submitted to Bioinformatics.

See Also

evolafit – the core function of the package

Examples

Q <- matrix(1,3,3) # QTL matrix available internally
D <- diag(3) # LD matrix
inbFun(Q=Q, D=D) # group relationship

evola documentation built on Aug. 8, 2025, 7:54 p.m.