adelie (version 1.0.7)

print.cv.grpnet: print a cross-validated grpnet object

Description

Print a summary of the results of cross-validation for a grpnet model.

Usage

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

Arguments

x

fitted 'cv.grpnet' object

digits

significant digits in printout

...

additional print arguments

Author

James Yang, Trevor Hastie, and Balasubramanian Narasimhan
Maintainer: Trevor Hastie

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 and coef methods.

Examples

x = matrix(rnorm(100 * 20), 100, 20)
y = rnorm(100)
fit1 = cv.grpnet(x, glm.gaussian(y))
print(fit1)