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 |

`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 |

`alpha` |
The elasticnet mixing parameter, with |

`coefficients` |
The model's coefficients (excluding intercept). |

`vp` |
Penalty factors for each of the coefficients. |

[Package

*glmnet*version 4.1-8 Index]