print.sdwd: print an sdwd object

In sdwd: Sparse Distance Weighted Discrimination

Description

Print a summary of the sdwd solution paths.

Usage

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

Arguments

x	A fitted sdwd object.
digits	Specify the significant digits.
...	Additional print arguments.

Details

This function prints a two-column matrix with columns Df and Lambda, where the Df column exhibits the number of nonzero coefficients and the Lambda column displays the corresponding lambda value. This function is modified based on the print function from the gcdnet and the glmnet packages.

Value

A two-column matrix with one column of the number of nonzero coefficients and a second column of lambda values.

Author(s)

Boxiang Wang and Hui Zou
Maintainer: Boxiang Wang [e-mail]

References

Wang, B. and Zou, H. (2016) “Sparse Distance Weighted Discrimination", Journal of Computational and Graphical Statistics, 25(3), 826–838.
https://www.tandfonline.com/doi/full/10.1080/10618600.2015.1049700

Yang, Y. and Zou, H. (2013) “An Efficient Algorithm for Computing the HHSVM and Its Generalizations", Journal of Computational and Graphical Statistics, 22(2), 396–415.
https://www.tandfonline.com/doi/full/10.1080/10618600.2012.680324

Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized linear models via coordinate descent," Journal of Statistical Software, 33(1), 1–22.
https://www.jstatsoft.org/v33/i01/paper

See Also

print.sdwd, predict.sdwd, coef.sdwd, plot.sdwd, and cv.sdwd.

Examples

data(colon)
fit = sdwd(colon$x, colon$y)
print(fit)

sdwd documentation built on Oct. 27, 2020, 5:06 p.m.