# Plots estimates and test-processes

### Description

This function plots the non-parametric cumulative estimates for the additive risk model or the test-processes for the hypothesis of time-varying effects with re-sampled processes under the null.

### Usage

1 2 3 4 |

### Arguments

`x` |
the output from the "aalen" function. |

`pointwise.ci` |
if >1 pointwise confidence intervals are plotted with lty=pointwise.ci |

`hw.ci` |
if >1 Hall-Wellner confidence bands are plotted with lty=hw.ci. Only 0.95 % bands can be constructed. |

`sim.ci` |
if >1 simulation based confidence bands are plotted with lty=sim.ci. These confidence bands are robust to non-martingale behaviour. |

`robust` |
robust standard errors are used to estimate standard error of estimate, otherwise martingale based standard errors are used. |

`specific.comps` |
all components of the model is plotted by default, but a list of components may be specified, for example first and third "c(1,3)". |

`level` |
gives the significance level. |

`start.time` |
start of observation period where estimates are plotted. |

`stop.time` |
end of period where estimates are plotted. Estimates thus plotted from [start.time, max.time]. |

`add.to.plot` |
to add to an already existing plot. |

`mains` |
add names of covariates as titles to plots. |

`xlab` |
label for x-axis. |

`ylab` |
label for y-axis. |

`score` |
to plot test processes for test of time-varying effects along with 50 random realization under the null-hypothesis. |

`...` |
unused arguments - for S3 compatibility |

### Author(s)

Thomas Scheike

### References

Martinussen and Scheike, Dynamic Regression models for Survival Data, Springer (2006).

### Examples

1 | ```
# see help(aalen)
``` |