dot-signdisc: Sign discovery

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

Sign discovery

Description

Assigns signs to prior weights to obtain prior coefficients

Usage

.signdisc(y, X, prior, family, foldid = NULL, nfolds = 10, track = FALSE)

Arguments

y	target: vector of length n (see family)
X	features: matrix with n rows (samples) and p columns (features)
prior	prior coefficients: matrix with p rows (features) and k columns (sources of co-data)
family	character "gaussian" (y: real numbers), "binomial" (y: 0s and 1s), or "poisson" (y: non-negative integers);
foldid	fold identifiers: vector of length n with entries from 1 to 'nfolds'
nfolds	number of folds: positive integer
track	show intermediate output (messages and plots): logical

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