Description Usage Arguments Value Author(s) See Also Examples

Convenient function to build cause-specific, parametric survival models using the survival package. This is followed by application of `cfc`

function to produce cumulative incidence functions.

1 2 3 | ```
cfc.survreg(formula, data, newdata = NULL, dist = "weibull"
, control = survreg.control(), tout, Nmax = 100L
, rel.tol = 1e-05)
``` |

`formula` |
Survival formula with a multi-state status variable. See |

`data` |
Data frame containing variables listed in |

`newdata` |
Data frame of structure similar to |

`dist` |
One of |

`control` |
List of |

`tout` |
Time points, along which to produce the cumulative incidence curves. |

`Nmax` |
Maximum number of subdivisions to be used in the |

`rel.tol` |
Threshold for relative error in |

A list with the following elements:

`K` |
Number of causes. |

`formulas` |
List of formulas used in each of the |

`regs` |
List of all cause-specific regression objects returned by |

`tout` |
Same as input. |

`cfc` |
An object of class |

Mansour T.A. Sharabiani, Alireza S. Mahani

1 2 3 4 |

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