summary.gamsel: Gamsel summary routine
In gamsel: Fit Regularization Path for Generalized Additive Models

Description Usage Arguments Details Value Author(s) References See Also Examples

This makes a two-panel plot of the gamsel object.

1 2	## S3 method for class 'gamsel' summary(object, label = FALSE, ...)

`object`	`gamsel` object
`label`	if `TRUE`, annotate the plot with variable labels. Default is `FALSE`
`...`	additional arguments to summary

A two panel plot is produced, that summarizes the linear components and the nonlinear components, as a function of lambda. For the linear components, it is the coefficient for each variable. For the nonlinear, we see the norm of the nonlinear coefficients.

Nothing is returned.

Alexandra Chouldechova and Trevor Hastie
Maintainer: Trevor Hastie hastie@stanford.edu

Chouldechova, A. and Hastie, T. (2015) Generalized Additive Model Selection

gamsel, and methods plot, print and predict for cv.gamsel object.

##data=gamsel:::gendata(n=500,p=12,k.lin=3,k.nonlin=3,deg=8,sigma=0.5)
data = readRDS(system.file("extdata/gamsel_example.RDS", package = "gamsel"))
attach(data)
bases=pseudo.bases(X,degree=10,df=6)
# Gaussian gam
gamsel.out=gamsel(X,y,bases=bases)
par(mfrow=c(1,2),mar=c(5,4,3,1))
summary(gamsel.out)