plot.cv.sparsenet: plot the cross-validation curves produced by cv.sparsenet

In sparsenet: Fit Sparse Linear Regression Models via Nonconvex Optimization

plot the cross-validation curves produced by cv.sparsenet

Description

Plots the cross-validation curves for each value of gamma in one figure, as a function of the lambda values used.

Usage

## S3 method for class 'cv.sparsenet'
plot(x,  ...)

Arguments

x	fitted "cv.sparsenet" object
...	Other graphical parameters to plot

Details

A plot is produced, and nothing is returned.

Author(s)

Rahul Mazumder, Jerome Friedman and Trevor Hastie

Maintainer: Trevor Hastie <[e-mail]>

References

Mazumder, Rahul, Friedman, Jerome and Hastie, Trevor (2011) SparseNet: Coordinate Descent with Nonconvex Penalties. JASA, Vol 106(495), 1125-38, https://hastie.su.domains/public/Papers/Sparsenet/Mazumder-SparseNetCoordinateDescent-2011.pdf

See Also

glmnet package, sparsenet, cv.sparsenet and print and plot methods for both.

Examples

x=matrix(rnorm(100*20),100,20)
y=rnorm(100)
fitcv=cv.sparsenet(x,y)
plot(fitcv)

sparsenet documentation built on Aug. 22, 2023, 9:11 a.m.