fitted.transreg: Fitted values

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

Fitted values

Description

Extracts fitted values

Usage

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

Arguments

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

Value

Returns fitted values. The output is a numerical vector with one entry for sample.

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

Methods for objects of class [transreg] include coef and predict.

Examples

#--- simulation ---
set.seed(1)
n0 <- 100; n1 <- 10000; n <- n0 + n1; p <- 500
X <- matrix(rnorm(n=n*p),nrow=n,ncol=p)
beta <- rnorm(p)
prior <- beta + rnorm(p)
y <- X %*% beta

#--- train-test split ---
foldid <- rep(c(0,1),times=c(n0,n1))
y0 <- y[foldid==0]
X0 <- X[foldid==0,]
y1 <- y[foldid==1]
X1 <- X[foldid==1,]

object <- transreg(y=y0,X=X0,prior=prior)

#--- fitted values ---
y0_hat <- fitted(object)
mean((y0-y0_hat)^2)

#--- predicted values ---
y1_hat <- predict(object,newx=X1)
mean((y1-y1_hat)^2) # increase in MSE?

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