R: Elastic net objective function value

obj_function {glmnet} | R Documentation

## Elastic net objective function value

### Description

Returns the elastic net objective function value.

### Usage

    obj_function(y, mu, weights, family, lambda, alpha, coefficients, vp)

### Arguments

`y` | Quantitative response variable.
`mu` | Model's predictions for `y`.
`weights` | Observation weights.
`family` | A description of the error distribution and link function to be used in the model. This is the result of a call to a family function.
`lambda` | A single value for the `lambda` hyperparameter.
`alpha` | The elasticnet mixing parameter, with 0 ≤ α ≤ 1.
`coefficients` | The model's coefficients (excluding intercept).
`vp` | Penalty factors for each of the coefficients.

[Package glmnet version 4.1 Index]