cox_obj_function {glmnet} | R Documentation |

## Elastic net objective function value for Cox regression model

### Description

Returns the elastic net objective function value for Cox regression model.

### Usage

```
cox_obj_function(y, pred, weights, lambda, alpha, coefficients, vp)
```

### Arguments

`y` |
Survival response variable, must be a |

`pred` |
Model's predictions for |

`weights` |
Observation weights. |

`lambda` |
A single value for the |

`alpha` |
The elasticnet mixing parameter, with |

`coefficients` |
The model's coefficients. |

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

[Package

*glmnet*version 4.1-8 Index]