Description Usage Arguments Value Author(s) See Also Examples

View source: R/pencoxfrailControl.R

The values supplied in the function call replace the defaults and a list with all possible arguments is returned. The returned list is used as the `control`

argument to the `pencoxfrail`

function.

1 2 3 4 5 6 |

`start` |
a vector of suitable length containing starting values for the spline-coefficients of the baseline hazard and the time-varying effects, followed by the fixed and random effects. The correct ordering is important. Default is a vector full of zeros. |

`q_start` |
a scalar or matrix of suitable dimension, specifying starting values for the random-effects variance-covariance matrix. Default is a scalar 0.1 or diagonal matrix with 0.1 in the diagonal, depending on the dimension of the random effects. |

`conv.eps` |
controls the speed of convergence. Default is 1e-4. |

`center` |
logical. If true, the covariates corresponding to the time-varying effects will be centered. Default is FALSE (and centering is only recommended if really necessary; it can also have a strong effect on the baseline hazard, in particular, if a strong penalty is selected). |

`standardize` |
logical. If true, the the covariates corresponding to the time-varying effects will be scaled to a variance equal to one (*after* possible centering). Default is FALSE. |

`smooth` |
a list specifying the number of basis functions |

`ridge.pen` |
On all time-varying effects (except for the baseline hazard) a slight ridge penalty is applied on the second order differences of the corresponding spline coefficients to stabilize estimation. Default is 1e-4. |

`print.iter` |
logical. Should the number of iterations be printed? Default is FALSE. |

`max.iter` |
the number of iterations for the final Fisher scoring re-estimation procedure. Default is 200. |

`c.app` |
The parameter controlling the exactness of the quadratic approximations of the penalties. Default is 1e-6. |

`zeta` |
The parameter controlling the weighting between the two penalty parts in the specific double-penalty |

`exact` |
controls the exactness of the (Riemann) integral approximations. Default is 1e-2. |

`xr` |
maximal time point that is regarded. Default is NULL and the maximal event or censoring time point in the data is used. |

`...` |
Futher arguments to be passed. |

a list with components for each of the possible arguments.

Andreas Groll groll@math.lmu.de

1 2 3 | ```
# Use different weighting of the two penalty parts
# and lighten the convergence criterion
pencoxfrailControl(zeta=0.3, conv.eps=1e-3)
``` |

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