AVGAS (version 0.1.0)

cross: Performing crossover

Description

This function performs crossover which only stores all fitted models without making any comparison. The selected indices in each fitted model will be automatically re-ordered so that main effects comes first, followed by two-way interaction effects, and zero reservation spaces.

Usage

cross(parents, heredity = "Strong", nmain.p, r1, r2, interaction.ind = NULL)

Value

A numeric matrix single.child.bit is returned. Each row representing a fitted model, and each column corresponding to the predictor index in the fitted model. Duplicated models are allowed.

Arguments

parents

A numeric matrix of dimension q by r1+r2, obtained from initial or previous generation where each row corresponding a fitted model and each column representing the predictor index in the fitted model.

heredity

Whether to enforce Strong, Weak, or No heredity. Default is "Strong".

nmain.p

A numeric value that represents the total number of main effects in X.

r1

A numeric value indicating the maximum number of main effects.

r2

A numeric value indicating the maximum number of interaction effects.

interaction.ind

A two-column numeric matrix containing all possible two-way interaction effects. It must be generated outside of this function using t(utils::combn()). See Example section for details.

See Also

initial.

Examples

# Under Strong heredity
set.seed(0)
nmain.p <- 4
interaction.ind <- t(combn(4,2))
X <- matrix(rnorm(50*4,1,0.1), 50, 4)
epl <- rnorm(50,0,0.01)
y<- 1+X[,1]+X[,2]+X[,1]*X[,2]+epl
p1 <- initial(X, y, nmain.p = 4, r1 = 3, r2 = 3,
    interaction.ind = interaction.ind, q = 5)
c1 <- cross(p1, nmain.p=4, r1 = 3, r2 = 3,
    interaction.ind = interaction.ind)