print.glamlasso: Print Function for objects of Class glamlasso

In glamlasso: Penalization in Large Scale Generalized Linear Array Models

Description

This function will print some information about the glamlasso object.

Usage

## S3 method for class 'glamlasso'
print(x, ...)

Arguments

x	A glamlasso object
...	ignored

Details

For the call that produced the object x a two-column data.frame with columns Df and lambda is created. The Df column is the number of nonzero coefficients and lambda is the sequence of penalty parameters.

Value

Prints the data.frame described under Details.

Author(s)

Adam Lund

Examples

 
n1 <- 65; n2 <- 26; n3 <- 13; p1 <- 13; p2 <- 5; p3 <- 4
X1 <- matrix(rnorm(n1 * p1), n1, p1) 
X2 <- matrix(rnorm(n2 * p2), n2, p2) 
X3 <- matrix(rnorm(n3 * p3), n3, p3) 
Beta <- array(rnorm(p1 * p2 * p3) * rbinom(p1 * p2 * p3, 1, 0.1), c(p1 , p2, p3))
mu <- RH(X3, RH(X2, RH(X1, Beta)))
Y <- array(rnorm(n1 * n2 * n3, mu), dim = c(n1, n2, n3))
fit <- glamlasso(list(X1, X2, X3), Y)
fit

glamlasso documentation built on May 17, 2021, 1:08 a.m.