Description Usage Arguments Details Value Author(s) References Examples

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.

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`x` |
fitted |

`digits` |
significant digits in printout |

`...` |
additional print arguments |

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.

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

.

Yi Yang and Hui Zou

Maintainer: Yi Yang <[email protected]>

Yang, Y. and Zou, H. (2013),
"A Cocktail Algorithm for Solving The Elastic Net Penalized Cox's Regression in High Dimensions", *Statistics and Its Interface,* 6:2, 167-173.

https://github.com/emeryyi/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/

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