Description Usage Arguments Author(s)

Simulate from piecewise constant exponential regression model with two binary variables X, Z whose distributions and effects may vary in time intervals.

1 2 | ```
simpoisson(N, changepoints, baseline, beta, gamma, delta = 0, comprisk,
alpha, zeta, px, pz, pv = NULL, pxz = 0, const = "none")
``` |

`N` |
sample size. |

`changepoints` |
borders of time intervals. |

`baseline` |
baseline rate in intervals. |

`beta` |
effect of X (log hazard ratio). |

`gamma` |
effect of Z (log hazard ratio). |

`delta` |
effect of V (log hazard ratio). |

`comprisk` |
rate of competing risk event. |

`alpha` |
effect of X on competing risk (log hazard ratio). |

`zeta` |
effect of Z on competing risk (log hazard ratio). |

`px` |
probability of X in intervals. |

`pz` |
probability of Z in intervals. |

`pv` |
probability vector for categories of V. |

`pxz` |
effect of Z on X (log odds ratio). |

`const` |
Whether the distributions of X and Z vary over time is controlled with argument ‘const’. const="XZ" means that both X and Z do not change over time. const="X" means that only X does not change over time. const="Z" means that only Z does not change over time. |

Thomas A. Gerds <[email protected]>

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