R: Elastic net objective function value for Cox regression model

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 `Surv` or `stratifySurv` object.
`pred` | Model's predictions for `y`.
`weights` | Observation weights.
`lambda` | A single value for the `lambda` hyperparameter.
`alpha` | The elasticnet mixing parameter, with 0 ≤ α ≤ 1.
`coefficients` | The model's coefficients.
`vp` | Penalty factors for each of the coefficients.

[Package glmnet version 4.1-2 Index]