print.gglasso {gglasso} | R Documentation |
Print the nonzero group counts at each lambda along the gglasso path.
## S3 method for class 'gglasso' print(x, digits = max(3, getOption("digits") - 3), ...)
x |
fitted |
digits |
significant digits in printout |
... |
additional print arguments |
Print the information about the nonzero group counts at each lambda step in the gglasso
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.
a two-column matrix, the first columns is the number of nonzero group counts and the second column is Lambda
.
Yi Yang and Hui Zou
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Yang, Y. and Zou, H. (2015), “A Fast Unified Algorithm for Computing Group-Lasso Penalized Learning Problems,” Statistics and Computing. 25(6), 1129-1141.
BugReport: https://github.com/emeryyi/gglasso
# load gglasso library library(gglasso) # load data set data(colon) # define group index group <- rep(1:20,each=5) # fit group lasso m1 <- gglasso(x=colon$x,y=colon$y,group=group,loss="logit") # print out results print(m1)