print.HDtweedie: print a HDtweedie object

In emeryyi/hdtweedie: The Lasso for the Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm

Description

Print the nonzero group counts at each lambda along the HDtweedie path.

Usage

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

Arguments

x	fitted HDtweedie object
digits	significant digits in printout
...	additional print arguments

Details

Print the information about the nonzero group counts at each lambda step in the HDtweedie object. The result is a two-column matrix with columns Df and Lambda. The Df column is the number of the groups that have nonzero within-group coefficients, the Lambda column is the the corresponding lambda.

Value

a two-column matrix, the first columns is the number of nonzero group counts and the second column is Lambda.

Author(s)

Wei Qian, Yi Yang and Hui Zou
Maintainer: Wei Qian <[e-mail]>

References

Qian, W., Yang, Y., Yang, Y. and Zou, H. (2013), “Tweedie's Compound Poisson Model With Grouped Elastic Net,” submitted to Journal of Computational and Graphical Statistics.

Examples

# load HDtweedie library
library(HDtweedie)

# load auto data set
data(auto)

# fit the lasso
m0 <- HDtweedie(x=auto$x,y=auto$y,p=1.5)

# print out results
print(m0)

# define group index
group1 <- c(rep(1,5),rep(2,7),rep(3,4),rep(4:14,each=3),15:21)

# fit the grouped lasso
m1 <- HDtweedie(x=auto$x,y=auto$y,group=group1,p=1.5)

# print out results
print(m1)

emeryyi/hdtweedie documentation built on May 16, 2019, 5:06 a.m.