dot-residuals: Calculate residuals

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

Calculate residuals

Description

Calculates residuals from observed outcome and predicted values (Gaussian family) or predicted probabilities (binomial family). Called by '.exp.multiple' and '.iso.multiple'.

Usage

.residuals(y, y_hat, family)

Arguments

y	response: vector of length n (see family)
y_hat	predicted values or probabilities (see family): vector of length n, or matrix with n rows (samples) and k columns (methods)
family	character "gaussian" (y: real numbers, y\_hat: real numbers) or "binomial" (y: 0s and 1s, y\_hat: unit interval)

Examples

n <- 100
p <- 5
X <- matrix(stats::rnorm(n*p),nrow=n,ncol=p)
#y <- stats::rbinom(n,size=1,prob=0.5)
y <- stats::rnorm(n)
glm <- glm(y~X,family="gaussian")
res <- residuals.glm(glm)
y_hat <- predict(glm,type="response")
all.equal(res,y-y_hat)

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