# plot the cross-validation curve of the sparse DWD

### Description

Plots the cross-validation curve against a function of `lambda`

values. The function also provides the upper and lower standard deviation curves.

### Usage

1 2 |

### Arguments

`x` |
A fitted |

`sign.lambda` |
Whether to plot against |

`...` |
Other graphical parameters to |

### Details

This function depicts the cross-validation curves. This function is modified based on the `plot.cv`

function from the `glmnet`

and the `gcdnet`

packages.

### Author(s)

Boxiang Wang and Hui Zou

Maintainer: Boxiang Wang boxiang@umn.edu

### References

Wang, B. and Zou, H. (2015)
“Sparse Distance Weighted Discrimination", *Journal of Computational and Graphical Statistics*, forthcoming.

http://arxiv.org/abs/1501.06066

Yang, Y. and Zou, H. (2013)
“An Efficient Algorithm for Computing the HHSVM and Its Generalizations",
*Journal of Computational and Graphical Statistics*, **22**(2), 396–415

http://users.stat.umn.edu/~yiyang/resources/papers/JCGS_gcdnet.pdf

Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," *Journal of Statistical Software*, **33**(1), 1–22

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

### See Also

`cv.sdwd`

.

### Examples

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