glmnet (version 1.1-5)

print.glmnet: print a glmnet object

Description

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

Usage

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

Arguments

x

fitted glmnet object

digits

significant digits in printout

...

additional print arguments

Value

• The matrix above is silently returned

Details

The call that produced the object x is printed, followed by a three-column matrix with columns Df, %dev and Lambda. The Df column is the number of nonzero coefficients (Df is a reasonable name only for lasso fits). %dev is the percent deviance explained (relative to the null deviance).

References

Friedman, J., Hastie, T. and Tibshirani, R. (2008) Regularization Paths for Generalized Linear Models via Coordinate Descent

See Also

glmnet, predict and coef methods.

Examples

x=matrix(rnorm(100*20),100,20)
y=rnorm(100)
fit1=glmnet(x,y)
print(fit1)