plot.stability.MLGL {MLGL} | R Documentation |
stability.MLGL
functionPlot the stability path obtained from stability.MLGL
function
## S3 method for class 'stability.MLGL' plot(x, log.lambda = FALSE, threshold = 0.75, ...)
x |
|
log.lambda |
If TRUE, use log(lambda) instead of lambda in abscissa |
threshold |
Threshold for selection frequency |
... |
Other parameters for plot function |
A list containing :
Index of selected variables for the given threshold.
Index of the associated group.
Value of threshold
set.seed(42) # Simulate gaussian data with block-diagonal variance matrix containing 12 blocks of size 5 X <- simuBlockGaussian(50, 12, 5, 0.7) # Generate a response variable y <- X[,c(2,7,12)]%*%c(2,2,-2) + rnorm(50,0,0.5) # Apply stability.MLGL method res <- stability.MLGL(X,y) selected <- plot(res) print(selected)