Description Usage Arguments Details Value References See Also Examples

Plots the cross-validation curve, and upper and lower standard
deviation curves, as a function of the `lambda`

values used.

1 2 |

`x` |
fitted |

`sign.lambda` |
Either plot against |

`...` |
Other graphical parameters to plot |

This is a port of `plot.cv.glmnet`

A plot is produced and nothing is returned

Jerome Friedman, Trevor Hastie, Robert Tibshirani (2010). Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software, 33(1), 1-22. http://www.jstatsoft.org/v33/i01/.

1 2 3 4 5 6 7 8 9 10 11 | ```
data("sailsim")
f.basis <- function(i) splines::bs(i, degree = 3)
library(doParallel)
cl <- makeCluster(2)
registerDoParallel(cl)
cvfit <- cv.sail(x = sailsim$x, y = sailsim$y, e = sailsim$e,
parallel = TRUE, nlambda = 10,
maxit = 100, basis = f.basis,
nfolds = 3, dfmax = 10)
stopCluster(cl)
plot(cvfit)
``` |

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