adelie (version 1.0.7)

print.grpnet: print a grpnet object

Description

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

Usage

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

Value

The matrix above is silently returned

Arguments

x

fitted grpnet object

digits

significant digits in printout

...

additional print arguments

Details

The call that produced the object x is printed, followed by a four-column matrix with columns Groups, Df, %Dev and Lambda. The Groups column is the number of active groups in the solution. 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

Yang, James and Hastie, Trevor. (2024) A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent. arXiv tools:::Rd_expr_doi("10.48550/arXiv.2405.08631").

See Also

grpnet, predict, plot and coef methods.

Examples

x = matrix(rnorm(100 * 20), 100, 20)
y = rnorm(100)
fit1 = grpnet(x, glm.gaussian(y), groups = c(1:5,7,9))
print(fit1)