plot.gcdclust: Plot coefficients from a "gcdclust" object

In KarimOualkacha/HHSVM-ClusterNet: hhsvm classification using the cluster elastic net penality

Description

Produces a coefficient profile plot of the coefficient paths for a fitted gcdclust object. This function is modified based on the plot function from the glmnet package.

Usage

## S3 method for class 'gcdclust'
plot(x, xvar = c("norm", "lambda"), color = FALSE, label = FALSE, ...)

Arguments

x	fitted gcdclust model
xvar	what is on the X-axis. "norm" plots against the L1-norm of the coefficients, "lambda" against the log-lambda sequence.
color	if TRUE, plot the curves with rainbow colors. FALSE is gray colors. Default is FALSE
label	if TRUE, label the curves with variable sequence numbers. Default is FALSE
...	other graphical parameters to plot

Details

A coefficient profile plot is produced.

References

HHSVM-CEN Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," Journal of Computational and Graphical Statistics, 22, 396-415.

Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized linear models via coordinate descent," Journal of Statistical Software, 33, 1.
http://www.jstatsoft.org/v33/i01/

Examples

data(test)
x=test$x
y=test$y


m=gcdclust(x,y,KK=3,lambda2=5)
plot(m)

KarimOualkacha/HHSVM-ClusterNet documentation built on May 7, 2019, 12:28 p.m.