fastcox (version 1.1.1)

print.cocktail: print a cocktail object

Description

Print a summary of the cocktail path at each step along the path. This function is modified based on the print function from the glmnet package.

Usage

"print"(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

x

fitted cocktail object

digits

significant digits in printout

...

additional print arguments

Value

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

Details

The call that produced the cocktail object is printed, followed by a two-column matrix with columns Df and Lambda. The Df column is the number of nonzero coefficients.

References

Yang, Y. and Zou, H. (2012), "A Cocktail Algorithm for Solving The Elastic Net Penalized Cox's Regression in High Dimensions", Statistics and Its Interface. http://code.google.com/p/fastcox/

Friedman, J., Hastie, T. and Tibshirani, R. (2008) "Regularization Paths for Generalized Linear Models via Coordinate Descent", http://www.stanford.edu/~hastie/Papers/glmnet.pdf Journal of Statistical Software, Vol. 33(1), 1-22 Feb 2010 http://www.jstatsoft.org/v33/i01/ Simon, N., Friedman, J., Hastie, T., Tibshirani, R. (2011) "Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent", Journal of Statistical Software, Vol. 39(5) 1-13 http://www.jstatsoft.org/v39/i05/

Examples

data(FHT)
m1<-cocktail(x=FHT$x,y=FHT$y,d=FHT$status,alpha=0.5)
print(m1)