Decluster Point Process
Declusters clustered point process data so that Poisson assumption is more tenable over a high threshold.
a numeric vector of threshold exceedances
parameter to be used in the runs method; any two consecutive threshold exceedances separated by more than this number of observations/days are considered to belong to different clusters
whether or not a picture of declustering should be drawn
The declustered object.
Embrechts, P., Klueppelberg, C., Mikosch, T. (1997). Modelling Extremal Events. Springer. Chapter 8, 413–429.
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