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Graphical output of SIR_threshold_opt

plot.SIR_threshold_opt.Rd

Display the 10 first eigen values,the estimated index versus Y of the SIR model, the evolution of \(cos^2\) and variable selection according to \(\lambda\), and the regularization path of \(\hat{b}\).

Usage

# S3 method for class 'SIR_threshold_opt'
plot(x, choice = "", ...)

Arguments

x

A SIR_threshold_opt object

choice

the graph to plot:

  • "estim_ind" Plot the estimated index by the SIR model versus Y.

  • "opt_lambda" Plot the choice of \(\lambda_{opt}\).

  • "cos2_selec" Plot the evolution of \(cos^2\) and variable selection according to \(\lambda\).

  • "regul_path" Plot the regularization path of \(\hat{b}\).

  • "" Plot every graphs (default).

...

arguments to be passed to methods, such as graphical parameters (not used here).

Value

No return value

Examples

# Generate Data
set.seed(10)
n <- 200
beta <- c(1,1,rep(0,8))
X <- mvtnorm::rmvnorm(n,sigma=diag(1,10))
eps <- rnorm(n)
Y <- (X%*%beta)**3+eps

# Apply SIR with soft thresholding
res = SIR_threshold_opt(Y,X,H=10,n_lambda=100,thresholding="soft")

# Estimated index versus Y
plot(res,choice="estim_ind")

# Choice of optimal lambda
plot(res,choice="opt_lambda")

# Evolution of cos^2 and var selection according to lambda
plot(res,choice="cos2_selec")

# Regularization path
plot(res,choice="regul_path")