print.ernet: Print an ernet object

In SALES: The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms

Print an ernet object

Description

Print a summary of the ernet path at each step along the path.

Usage

## S3 method for class 'ernet'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

x	fitted ernet object.
digits	significant digits in the output.
...	additional print arguments.

Details

The call that produced the ernet object is printed, followed by a two-column matrix with columns Df and Lambda. The Df column is the number of nonzero coefficients.

Value

a two-column matrix, the first columns is the number of nonzero coefficients and the second column is Lambda.

Author(s)

Yuwen Gu and Hui Zou

Maintainer: Yuwen Gu <[e-mail]>

Examples

set.seed(1)
n <- 100
p <- 400
x <- matrix(rnorm(n * p), n, p)
y <- rnorm(n)
tau <- 0.90
pf <- abs(rnorm(p))
pf2 <- abs(rnorm(p))
lambda2 <- 1
m1 <- ernet(y = y, x = x, tau = tau, eps = 1e-8, pf = pf,
            pf2 = pf2, standardize = FALSE, intercept = FALSE,
            lambda2 = lambda2)
print(m1)

SALES documentation built on Aug. 16, 2022, 1:05 a.m.