# obj_function: 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`

.

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 \(0 \le \alpha \le 1\).

coefficients

The model's coefficients (excluding intercept).

vp

Penalty factors for each of the coefficients.