plot.cvobj

Either plot against `log(lambda)` (default) or its
negative if `sign.lambda = -1`.

sign.lambda

If `TRUE` (default), x-axis is `log(lambda)` instead of
`lambda` (`log.lambda = FALSE`).

log.lambda

Other graphical parameters to plot.

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

Tools for performing cross-validation (CV). The main function is a
general purpose wrapper that performs k-fold CV for any tuning parameter in
any supervised learning method. The package also has a function that
computes the loss incurred by a set of predictions for a variety of loss
functions and model families.

plot.cvobj: Plot the cross-validation curve from a class `cvobj` object

Description

Usage

Arguments

Value