View source: R/plot.HDtweedie.R
plot.HDtweedie | R Documentation |
Produces a coefficient profile plot of the coefficient paths for a
fitted HDtweedie
object.
## S3 method for class 'HDtweedie' plot(x, group = FALSE, log.l = TRUE, ...)
x |
fitted |
group |
what is on the Y-axis. Plot the norm of each group
if |
log.l |
what is on the X-axis. Plot against the log-lambda
sequence if |
... |
other graphical parameters to plot |
A coefficient profile plot is produced.
Wei Qian, Yi Yang and Hui Zou
Maintainer: Wei Qian <weiqian@stat.umn.edu>
Qian, W., Yang, Y., Yang, Y. and Zou, H. (2016), “Tweedie's Compound
Poisson Model With Grouped Elastic Net,” Journal of Computational and Graphical Statistics, 25, 606-625.
# load HDtweedie library library(HDtweedie) # load data set data(auto) # fit the lasso m0 <- HDtweedie(x=auto$x,y=auto$y,p=1.5) # make plot plot(m0) # plots the coefficients against the log-lambda sequence # define group index group1 <- c(rep(1,5),rep(2,7),rep(3,4),rep(4:14,each=3),15:21) # fit group lasso m1 <- HDtweedie(x=auto$x,y=auto$y,group=group1,p=1.5) # make plots par(mfrow=c(1,3)) plot(m1) # plots the coefficients against the log-lambda sequence plot(m1,group=TRUE) # plots group norm against the log-lambda sequence plot(m1,log.l=FALSE) # plots against the lambda sequence
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