dot-fit: Model bag

In palasso: Sparse Regression with Paired Covariates

Model bag

Description

Fits all models from the chosen bag.

Usage

.fit(y, x, args)

Arguments

y	response: vector of length n
x	covariates: matrix with n rows (samples) and k * p columns (variables)
args	options for paired lasso: list of arguments (output from .dims and .args)

Value

list of glmnet-like objects

Examples

NA

palasso documentation built on Sept. 30, 2024, 9:30 a.m.