print.scoutobject: Print function for scout

In scout: Implements the Scout Method for Covariance-Regularized Regression

Description

A function to print scout output

Usage

## S3 method for class 'scoutobject'
print(x,...)

Arguments

x	The results of a call to the "scout" function.
...	additional arguments; these are ignored.

Author(s)

Daniela M. Witten and Robert Tibshirani

References

Witten, DM and Tibshirani, R (2008) Covariance-regularized regression and classification for high-dimensional problems. Journal of the Royal Statistical Society, Series B 71(3): 615-636. <http://www-stat.stanford.edu/~dwitten>

See Also

scout, cv.scout

Examples

library(lars)
data(diabetes)
attach(diabetes)
# Split data into training and test set
training <- sample(nrow(x2),floor(nrow(x2)/2))
xtrain <- x2[training,]
ytrain <- y[training]
xtest <- x2[-training,]
ytest <- y[-training]
# Done splitting data into training and test set
# Fit Model
scout.object <- scout(xtrain,ytrain,p1=1,p2=1,lam1s=c(0.001,0.1),lam2s=c(0.01,0.2))
print(scout.object)
# Done Fitting Model
detach(diabetes)

Example output

Loaded lars 1.2

12Call:
scout(x = xtrain, y = ytrain, p1 = 1, p2 = 1, lam1s = c(0.001, 
    0.1), lam2s = c(0.01, 0.2))

 Scout( 1 , 1 ) was performed with lambda1 = ( 0.001 0.1 ) and lambda2 = ( 0.01 0.2  ).

 Number of non-zero coefficients for each (lambda1, lambda2) pair:
      0.01 0.2
0.001   33   4
0.1     54   6

scout documentation built on May 2, 2019, 4:51 a.m.