Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/predict.cv.gcdnet.R

This function makes predictions from a cross-validated gcdnet model,
using the stored `"gcdnet.fit"`

object, and the optimal value
chosen for `lambda`

.

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`object` |
fitted |

`newx` |
matrix of new values for |

`s` |
value(s) of the penalty parameter |

`...` |
not used. Other arguments to predict. |

This function makes it easier to use the results of cross-validation to make a prediction.

The object returned depends the ... argument which is passed on
to the `predict`

method for `gcdnet`

objects.

Yi Yang, Yuwen Gu and Hui Zou

Maintainer: Yi Yang <[email protected]>

Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," *Journal of Computational and Graphical Statistics*, 22, 396-415.

BugReport: https://github.com/emeryyi/fastcox.git

Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," *Journal of Statistical Software, 33, 1.*

http://www.jstatsoft.org/v33/i01/

`cv.gcdnet`

, and `coef.cv.gcdnet`

methods.

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