SMLE (version 0.3.1)

plot.selection: Plots to visualize the selection steps

Description

This function constructs a sparsity vs. selection criterion curve for a selection object. When EBIC is used with voting, it also constructs a histogram showing the voting result.

Usage

# S3 method for selection
plot(x, ...)

Arguments

x

Fitted "selection" object from smle_select.

...

Other graphical parameters to plot.

Value

No return value, called for side effects.

Examples

# NOT RUN {
Data<-Gen_Data(correlation="MA",family = "gaussian")
fit<-SMLE(Data$Y,Data$X,k=20,family = "gaussian")
E<-smle_select(fit)
#Then E is a object of "selection"
plot(E)

# }

Run the code above in your browser using DataCamp Workspace