paperGraph | R Documentation |

Graphs of our paper in JSS (Journal of Statistical Software)

```
paperGraph(nb, penalty = 0, decay = 1, gap = 0, oneValue = 0, K = Inf, a = 0)
```

`nb` |
the number of the Figure in paper |

`penalty` |
the penalty to use for change-point |

`decay` |
a nonnegative number to give the strength of the exponential decay into the segment |

`gap` |
a nonnegative number to constrain the size of the gap in the change of state |

`oneValue` |
the value for parameter when we consider the collective anomalies problem |

`K` |
a positive number. Threshold for the Biweight robust loss |

`a` |
a positive number. Slope for the Huber robust loss |

a dataframe with 9 variables :
columns are named `"state1"`

, `"state2"`

, `"type"`

, `"parameter"`

, `"penalty"`

, `"K"`

, `"a"`

, `"min"`

, `"max"`

with additional `"graph"`

class.

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