Extract coefficients from an xplus model — coef.xplus • xplus

Only defined for models fitted with the "glmnet" backend; for other backends use get_importance() instead.

Usage

# S3 method for class 'xplus'
coef(object, s = "lambda.min", ...)

Arguments

object: An xplus object.
s: Penalty value name or numeric lambda.
...: Additional arguments.

Value

A sparse coefficient matrix.

See also

summary.xplus(), print.xplus()

Examples

set.seed(1)
x <- matrix(rnorm(100 * 5), ncol = 5)
y <- c(rep(1, 20), rep(0, 80))
fit <- xplus(x, y, max_iter = 5)
coef(fit)
#> 6 x 1 sparse Matrix of class "dgCMatrix"
#>             lambda.min
#> (Intercept) 0.09653480
#> V1          0.16658313
#> V2          .         
#> V3          0.04972193
#> V4          0.29994787
#> V5          .