This function extracts the variable importance of an SDAM. The variable importance is calculated as the empirical squared L2 norm of fj. The measure is not standardized.

# S3 method for class 'SDAM'
varImp(object)

Arguments

object

an SDAM object

Value

A vector of variable importance

See also

Author

Cyrill Scheidegger

Examples

set.seed(1)
X <- matrix(rnorm(10 * 5), ncol = 5)
Y <- sin(X[, 1]) -  X[, 2] + rnorm(10)
model <- SDAM(x = X, y = Y, Q_type = "trim", trim_quantile = 0.5, nfold = 2)
#> [1] "Initial cross-validation"
#> [1] "Second stage cross-validation"
varImp(model)
#> X1 X2 X3 X4 X5 
#>  0  0  0  0  0