orsf_control_cph {aorsf} | R Documentation |

## Cox regression ORSF control

### Description

Use the coefficients from a proportional hazards model to create linear combinations of predictor variables while fitting an orsf model.

### Usage

```
orsf_control_cph(method = "efron", eps = 1e-09, iter_max = 20, ...)
```

### Arguments

`method` |
( |

`eps` |
( |

`iter_max` |
( |

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

### Details

code from the survival package was modified to make this routine.

For more details on the Cox proportional hazards model, see coxph and/or Therneau and Grambsch (2000).

### Value

an object of class `'orsf_control'`

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

argument of orsf.

### References

Therneau T.M., Grambsch P.M. (2000) The Cox Model. In: Modeling Survival Data: Extending the Cox Model. Statistics for Biology and Health. Springer, New York, NY. DOI: 10.1007/978-1-4757-3294-8_3

### See Also

linear combination control functions
`orsf_control_custom()`

,
`orsf_control_fast()`

,
`orsf_control_net()`

,
`orsf_control()`

*aorsf*version 0.1.5 Index]