Name method (helper function)

Names the method used for obtaining initial or final coefficients.

Usage

.type(alpha)

Arguments

alpha

elastic net mixing parameter (numeric scalar, minimum \(0\) for ridge, maximum \(1\) for lasso) or character string (see alpha_init and alpha_final in cv.corila())

Value

Returns a character string ("ridge regression", "lasso regression", "elastic net regression", "multi-penalty ridge regression", or "Pearson/Spearman/Kendall correlation")

See also

This function is called by print.summary.cv.corila().

Examples

.type(alpha = 0.0)
#> [1] "ridge regression"