print.glmnet: print a glmnet object

In glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models

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

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). In the case of a 'relaxed' fit, an additional column is inserted, ⁠%Dev R⁠ which gives the percent deviance explained by the relaxed model. For a "bigGlm" model, a simpler summary is printed.

Value

The matrix above is silently returned

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)

glmnet documentation built on Aug. 22, 2023, 9:12 a.m.