weights.transreg: Extract Weights

In transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')

Extract Weights

Description

Extracts weights from an object of class [transreg].

Usage

## S3 method for class 'transreg'
weights(object, stack = NULL, ...)

Arguments

object	object of class 'transreg'
stack	character "sta" (standard stacking) or "sim" (simultaneous stacking)
...	(not applicable)

Value

Returns weights. The output is a numerical vector with one entry for each source of co-data.

References

Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel, and Enrico Glaab (2023). "Penalised regression with multiple sets of prior effects". Bioinformatics 39(12):btad680. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/btad680")}. (Click here to access PDF.)

See Also

This function is about weights for sources of prior effects. To extract weights for features (estimated regression coefficients), use [coef()].

Examples

#--- simulation ---
set.seed(1)
n <- 100; p <- 500
X <- matrix(rnorm(n=n*p),nrow=n,ncol=p)
beta <- rnorm(p)
prior <- cbind(beta+rnorm(p),beta+rnorm(p),rnorm(p),rnorm(p))
y <- X %*% beta

#--- example ---
object <- transreg(y=y,X=X,prior=prior)
weights(object)

transreg documentation built on June 10, 2025, 5:14 p.m.