Produce a plot of an enet fit. The default is a complete coefficient path.
Usage
## S3 method for class 'enet'
plot(x, xvar = c("fraction", "penalty", "L1norm", "step"),
use.color = FALSE, ...)
Arguments
x
enet object
xvar
The type of x variable against which to
plot. xvar=fraction plots agains the fraction of the L1 norm of the coefficient vector (default).
xvar=penalty plots against the 1-norm penalty parameter.
xvar=L1norm plots against the L1 norm of the coefficient
vector. xvar=step plots against the LARS-EN step number.
use.color
a colorful plot?
...
Additonal arguments for generic plot.
Value
NULL
Author(s)
Hui Zou and Trevor Hastie
References
Zou and Hastie (2005) "Regularization and Variable Selection via the Elastic Net"
Journal of the Royal Statistical Society, Series B,67,301-320.