Random effects model for competing risks data

Simulate observations from Aalen Frailty model with Gamma distributed frailty and constant intensity.

1 2 | ```
simAalenFrailty(n = 5000, theta = 0.3, K = 2, beta0 = 1.5, beta = 1,
cens = 1.5, cuts = 0, ...)
``` |

`n` |
Number of observations in each cluster |

`theta` |
Dependence paramter (variance of frailty) |

`K` |
Number of clusters |

`beta0` |
Baseline (intercept) |

`beta` |
Effect (log hazard ratio) of covariate |

`cens` |
Censoring rate |

`cuts` |
time cuts |

`...` |
Additional arguments |

Klaus K. Holst

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