orsf_control_net {aorsf} | R Documentation |

## Penalized Cox regression ORSF control

### Description

Use regularized Cox proportional hazard models to identify linear combinations of input variables while fitting an orsf model.

### Usage

```
orsf_control_net(alpha = 1/2, df_target = NULL, ...)
```

### Arguments

`alpha` |
( |

`df_target` |
( |

`...` |
Further arguments passed to or from other methods (not currently used). |

### Details

`df_target`

has to be less than `mtry`

, which is a separate argument in
orsf that indicates the number of variables chosen at random prior to
finding a linear combination of those variables.

### Value

an object of class `'orsf_control'`

, which should be used as
an input for the `control`

argument of orsf.

### References

Simon, Noah, Friedman, Jerome, Hastie, Trevor, Tibshirani, Rob (2011). "Regularization paths for Cox's proportional hazards model via coordinate descent."

*Journal of statistical software*,*39*(5), 1.

### See Also

linear combination control functions
`orsf_control_cph()`

,
`orsf_control_custom()`

,
`orsf_control_fast()`

,
`orsf_control()`

*aorsf*version 0.1.5 Index]